references - shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology,...

30
References 293 References [Abh09] Abhilash,E., Joseph,M.A.,2009, “Modeling and simulation of casting process-an overview” Indian foundry journal, 55(10), 28-36. [Abi03] Abido, M.A., 2003, “A novel multi-objective Evolutionary Algorithm for Environmental/ economic power dispatch”, Electrical Power Systems Research, 65, 71-81. [Ade93] Adeii, H. and Cheng, N. T., J., 1993, “Aerosp. Engg.”, 6, 315. [AFS79] American Foundrymen’s Society (AFS) Transactions ,1979” Using Pulverised coal as Fuel for Rotary Furnace. [Agr10] Agrawal, M., et al., 2010, “Effect of Air pollution on Urban agriculture", A case study Environmental pollution, 126(3), 323-329. [Aip06] Ai-Ping, L., Jia, Y., and Quan-Yuan, W.U., 2006, "Study on fuzzy aggregation operator in multi-criteria decision systems", Proceedings of International Conference on Hybrid Information Technology, 1, 380–386. [Akb97] Akbarzadeh, T.M.R., et al., 1997, "Evolutionary fuzzy speed regulation for a D.C. motor", 29th Southeastern Symposium on System Theory, Cookeville, TN. [Ale93] Alexiades, V., and Solomon, A.D., 1993, “Mathematical modeling of melting and freezing process” Taylor and Francis, Washington D.C, 42,(2), 65-69. [Ali10] Ali, M.A., and Moulick, S.K., 2010, "Analysis of implementation of JIT in manufacturing industry”, International Journal of manufacturing science and technology, 3(2), 91-98. [Alt02] Fulya Altiparmak ,Berna Dengiz and Akif A. Bulgak,2002, “Optimization of buffer sizes in assembly systems using intelligent techniques”, Proceedings of the 2002 Winter Simulation Conference, http://informs-sim.org/wsc02papers/156.pdf. [Amb87] Ambardar, R., and Chesti, A.R., 1987, “Pollution through Metallurgical Operations - An Overview”, National Seminar on Pollution through Metallurgical Operations, Sri Nagar. [AMC10] A Modern Casting Staff Report, 2010, US Censes. [Ami94] Amizadeh, F. and Jamshidi, M., 1994, "Soft Computing, Fuzzy Logic, Neural Networks, and Distributed Artificial Intelligence", vol. 4. Prentice Hall, Englewood Cliffs, NJ. [Ana06] Anatilis, A., et al., 2006, “Short term effect of ambient particles on cardiovascular and respiratory mortality”, Epidemiology, 17(3), 230-233. [Ana08] Anand, A.K, 2008, “IIF voice for the Indian foundry industry", Indian Foundry Journal, 54(6), 63. [And04] Andriantiatsaholiniaina, L. A., Kouikoglou, V. S., et al., 2004, “Evaluating strategies for sustainable development: fuzzy logic reasoning and sensitivity analysis*1”, Ecological Economics, 48(2), 149172. [And95] Anderson, J.A., 1995, “An Introduction to Neural Networks”, The MIT Press. [Ant93] Antsaklis, P.J. and Passino, K.M. (eds.), 1993, "An Introduction to Intelligent and Autonomous Control", Kluwer Academic Publishers, Norwell, MA. [Ara00] Arasu, M., and Krishna Raj D., 2000, “Energy Conservation in Iron Foundries- An Overview”, Indian Foundry Journal, 23-24. [Ara01] Arasu, M., 2001," Melting Technique for Energy Conservation”, Indian Foundry Journal, 23-27.

Upload: others

Post on 29-Oct-2020

1 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

293

References

[Abh09] Abhilash,E., Joseph,M.A.,2009, “Modeling and simulation of casting process-an

overview” Indian foundry journal, 55(10), 28-36.

[Abi03] Abido, M.A., 2003, “A novel multi-objective Evolutionary Algorithm for

Environmental/ economic power dispatch”, Electrical Power Systems Research, 65,

71-81.

[Ade93] Adeii, H. and Cheng, N. T., J., 1993, “Aerosp. Engg.”, 6, 315.

[AFS79] American Foundrymen’s Society (AFS) Transactions ,1979” Using Pulverised

coal as Fuel for Rotary Furnace.

[Agr10] Agrawal, M., et al., 2010, “Effect of Air pollution on Urban agriculture", A case

study Environmental pollution, 126(3), 323-329.

[Aip06] Ai-Ping, L., Jia, Y., and Quan-Yuan, W.U., 2006, "Study on fuzzy aggregation

operator in multi-criteria decision systems", Proceedings of International

Conference on Hybrid Information Technology, 1, 380–386.

[Akb97] Akbarzadeh, T.M.R., et al., 1997, "Evolutionary fuzzy speed regulation for a D.C.

motor", 29th Southeastern Symposium on System Theory, Cookeville, TN.

[Ale93] Alexiades, V., and Solomon, A.D., 1993, “Mathematical modeling of melting and

freezing process” Taylor and Francis, Washington D.C, 42,(2), 65-69.

[Ali10] Ali, M.A., and Moulick, S.K., 2010, "Analysis of implementation of JIT in

manufacturing industry”, International Journal of manufacturing science and

technology, 3(2), 91-98.

[Alt02] Fulya Altiparmak ,Berna Dengiz and Akif A. Bulgak,2002, “Optimization of buffer

sizes in assembly systems using intelligent techniques”, Proceedings of the 2002

Winter Simulation Conference, http://informs-sim.org/wsc02papers/156.pdf.

[Amb87] Ambardar, R., and Chesti, A.R., 1987, “Pollution through Metallurgical

Operations - An Overview”, National Seminar on Pollution through Metallurgical

Operations, Sri Nagar.

[AMC10] A Modern Casting Staff Report, 2010, US Censes.

[Ami94] Amizadeh, F. and Jamshidi, M., 1994, "Soft Computing, Fuzzy Logic, Neural

Networks, and Distributed Artificial Intelligence", vol. 4. Prentice Hall,

Englewood Cliffs, NJ.

[Ana06] Anatilis, A., et al., 2006, “Short term effect of ambient particles on cardiovascular

and respiratory mortality”, Epidemiology, 17(3), 230-233.

[Ana08] Anand, A.K, 2008, “IIF voice for the Indian foundry industry", Indian Foundry

Journal, 54(6), 63.

[And04] Andriantiatsaholiniaina, L. A., Kouikoglou, V. S., et al., 2004, “Evaluating

strategies for sustainable development: fuzzy logic reasoning and sensitivity

analysis*1”, Ecological Economics, 48(2), 149172.

[And95] Anderson, J.A., 1995, “An Introduction to Neural Networks”, The MIT Press.

[Ant93] Antsaklis, P.J. and Passino, K.M. (eds.), 1993, "An Introduction to Intelligent and

Autonomous Control", Kluwer Academic Publishers, Norwell, MA.

[Ara00] Arasu, M., and Krishna Raj D., 2000, “Energy Conservation in Iron Foundries- An

Overview”, Indian Foundry Journal, 23-24.

[Ara01] Arasu, M., 2001," Melting Technique for Energy Conservation”, Indian Foundry

Journal, 23-27.

Page 2: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

294

[Ara06] Arasu, M., 2006,“Melting and Energy Conservation Techniques in Arc furnace”,

Indian Foundry Journal, 32-36.

[Ark11] Arkil, S., Noor, M. and Tewari, S., 2011, “Robust design of casting process alying

Taguchi technique", Proceedings of RAME-2011–National conference sponsored

by A.I.C.T.E. , B.S.A.C.E.T., Mathura.

[ASM10] ASME Energy Assessment Guide, 2010, ASME EA-1G-2010 “Energy Assessment

for process heating system.

[Asw02] Aswani, K.G. , 2002, “Minimizing Electrical Energy Expenses”, Electrical Energy

in Induction Furnaces, Indian Foundry Journal, 41-44.

[Ata07] Atash, F., 2007, “The deterioration of urban environments in developing

countries", Mitigating the air pollution crisis in Tehran, Iran.

[Aug05a] Auger, A. and Hansen, N., 2005a, “Performance evaluation of an advanced local

search evolutionary algorithm”, IEEE Congress on Evolutionary Computation, 2,

777– 1784.

[Aug05b] Auger, A. and Hansen, N., 2005b, “A restart CMA evolution strategy with

increasing population size”, IEEE Congress on Evolutionary Computation, 2:

1769–1776.

[Aza10] Azar, Ahmad Taher, 2010, “Adaptive Neuro-Fuzzy Systems, Fuzzy Systems,

Ahmad Taher Azar” (Ed.), ISBN:978-953-7619-92-3, In Tech, Available from:

http://www.intechopen.com/books/fuzzy-systems/adaptive-neurofuzzy-Systems,

http://www.intechopen.com/source/pdfs/6932/InTech-

Adaptive_neuro_fuzzy_systems.pdf

[Bac04] Backhouse, C.J., Clegg, A.J.,and Staiktos, T., 2004, “Reducing the environmental

impacts of Metal casting through life cycle management", Progress in industries

Ecology, 271-285.

[Bah95] Bandemer, H. and Gottwald, S., 1995, “Fuzzy sets, Fuzzy Logic and Fuzzy

Methods with Applications”, Wiley, NewYork.

[Baj95] Banerjee, S.N., 1995, “Clean Air and control of pollution is a National

requirement”, Indian Foundry Journal.

[Baj97] Bajaj N., 1997, “Policies of Government on Foundry industry”, Chief Guest

Lecture Proceeding of 45th Indian foundry congress Foundry, 7-9.

[Bak61] Baker, EHW, 1961, “Modern Workshop Technology,“Part -1, Clever Hume Press

Ltd, 2nd Edition London.

[Ban02] Bansal, S., et al., 2002,“Automated Cupola Charges balance System”, Indian

Foundryman Journal, 17-20.

[Ban11] Bansal, P., 2011, “Inaugural ceremony”, 59th Indian foundry congress, at

Inderdhanus auditorium in Panchkulla, Chandigarh.

[Ban94] Bandopadhaya, A., Rao, Ramchandra, P., 1994, “Environmental pollution from

cast iron foundries, The problems and strategies for their migration”, A Paper

presented at workshop on ,Iron foundry energy scenario in raw material and

technology, Organised by development commissioner for iron and steel Calcutta,

[Ban95] Bandopadhyaya, A., Mishra K.K., and Rao R.C., 1995, “Pollution Control in

Foundries related problems and strategies for an economically viable solution”,

Indian Foundry Journal, 11-18.

[Ban96] Bandopadhyaya, A., Dutta, A., and Gupta, K.N., 1996, “Energy Environment and

Resource Management”, Proceedings of Seminar on Indian Mineral Industries, 51-

63.

[Bar09] Barik A., 2009, “Good maintenance practice and maintenance hazards in a

Page 3: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

295

foundry", Foundry, 21(6), 45-52.

[Bar90] Barker, D., 1990, "Analyzing financial health: Integrating neural networks and

expert systems", PC AI 4 (3), 24-27.

[Bas04] Basu, M., 2004, “An interactive fuzzy satisfying – based simulated annealing

technique for economic emission load dispatch with nonsmooth fuel cost and

emission level functions”, Electric Power Components and Systems, 32(2), 163–

173.

[Bas07a] Basu, N., Chaudhuri, B.,and, Roy, P.K. , 2007,“ energy conservation in indian

foundries –planning and methodologies”, Indian foundry journal, 53(8), 31-36.

[Bas07b] Basu, N., Chaudhuri, B. and Roy P.K., 2007, use of gas in foundry sector” Indian

foundry journal, 53(1), 46-52.

[Bas08] Basak, B.K., 2008, “Experience with cokeless melting furnace”, Indian Foundry

Journal, 54(8), 29-32.

[Bas11] Basak(Dr.) B.K., 2011, visiting faculty, IT, Kharagpur in various lecture,

seminars at IIT Kharagpur.

[Bas90] Basu, B. and Date, A.W., 1990, “Numerical modeling of melting and solidification

process”, Proceedings of indo US workshop, Trivedi, JA Shekhar and J. Mazumdar

(editors) Trans Tech. publications, 87-92.

[Bec81] Beck, M. P., and Lin, B. W., 1981, “Selection of automated office systems: a case

study”, OMEGA, 9(2), 169-176.

[Bed13] Bedi, R., Singh, A., 2013, “Adaptive neuro–fuzzy inference system in modelling

damping performance of epoxy polymer concrete”, International Journal of

Materials Engineering Innovation, 4 (1), 18-34.

[BEE_W] http://www.beeindia.in/energy_managers_auditors/documents/guidebooks/2Ch4.pd

f, 105

[Ben06] Benaouda, D., Murtagh, F., Starck, J.L., and Renaud, O., 2006, “Wavelet- based

nonlinear multiscale decomposition model for electricity load forecasting”,

International Journal of Neurocomputing (Elsevier), 70, 139–154.

[Ben07] Benaouda, D., and Murtagh, F., 2007, “Neuro-wavelet approach to time-series

signals prediction: an example of electricity load and pool-price data”,

International Journal of Emerging Electric Power Systems, 8(2), Article 5.

[Ber91] Bergerson, K., and Wunsch, D.C., 1991, "A commodity trading model based on a

neural network-expert system hybrid", In: Proceedings of the IEEE International

Conference on Neural Networks, Seattle, WA, 1289-1293.

[Bha00] Bhattarcharjee, S.P., 2000, “Energy Efficiency improvement and Pollution

Reduction in Cupola Route Foundry”, Proceedings of “Environmental 2000” Tafcon

Profects (India) Ltd., New Delhi, 188.

[Bha02] Bhatacharjee, S.P., 2002, “Saving Energy with twin blast Cupola”, “Minerals and

Metals Review”, 13-15.

[Bha97a] Bhardwaj, R.B.L., 1997,“Cokeless Cupola”, Indian Foundry Journal, 34-35.

[Bha97b] Bhardwaj, M.L., 1997, “Cokeless Cupola’, Indian Foundry Journal, 39.

[Bha98] Bhagwan, D.D., and Patvardhan, C., 1998, “New multi-objective Stochastic Search

Technique for economic load dispatch”, IEE Proceedings- Generation,

Transmission and Distribution, 45(6), 747-752.

[Bha99] Bhagwan Das, D., 1999, “Economic load dispatch in some aspects of power

systems operation and control using soft computing techniques”, Ph.D. Thesis,

Faculty of Engineering, DEI, Agra.

Page 4: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

296

[Bie06] BIERNACKI, R., et al., 2006, “Prediction of Properties of Austempered Ductile

Iron Assisted by Artificial Neural Network”, MATERIALS SCIENCE

(MEDŽIAGOTYRA). 12(1).

[Bik12] Bikram Jit Singh and Dinesh Khanduja, 2012, “Scope of Six Sigma in Indian

foundry operations: a case study”, International Journal of Services and

Operations Management, 13(1), 65-97.

[Bil11a] Bilgehan M., 2011, “Comparison of ANFIS and NN models-With a study in critical

buckling load estimation”, Applied Soft Computing, Journal of the World

Federation on Soft Computing (WFSC), ELSEVIER, 3779-3791.

[Bil11b] Bilgehan M., 2011, “A comparative study for the concrete compressive strength

estimation using neural network and neuro-fuzzy modeling approaches”, Non-

destructive Testing and Evaluation, Taylor and Francis, 26(1), pp 35-55.

[Bir05] Birch, T., 2005, “Alication of Advanced coating Technology- Improved Iron Casting

quality”, Indian Foundry Journal, 39-44.

[Blo96] Bloch, I., 1996, “Information combination operators for data fusion: a comparative

review with classification”, IEEE Transactions on System, Man and Cybernetics,

26(1), 52–67.

[Bod03] Bodin, L., and Gass S. I., 2003, “On teaching the analytic hierarchy process”,

Computers & Operations Research, 30(10), 1487-1497.

[Boj98] Bojadziev G, Bojadziev M, 1998, "Fuzzy sets fuzzy logic applications", Singapore

World Scientific Publishing.

[Bow93] Bowerman, B.L., and O’Connell, R.T., 1993, Forecasting and Time Series: An

Applied Approach, 3rd ed. Duxbury Press, Belmont, CA.

[Boz06] Bozbura, F. T., Beskese, A. and Kahraman, C., 2006, “Prioritization of human

capital measurement indicators using fuzzy AHP”, Expert Systems with

Applications, 15-35.

[Bra05] Bradshaw, D.I., et al., 2005, "An accurate VO2max nonexercise regression model

for 18-65 yearold adults", Res Q Exerc Sport, 76,426-432.

[Bru97] Brusco, M.J., et al., 1997, "A morph-based simulated annealing heuristic for a

modified bin-packing problem", Journal of the Operational Research Society, 48,

433-439.

[Buc85] Buckley, J.J., 1985, “Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17,

233- 247.

[Buy07] Buyukbingol, E., et al., 2007, “Adaptive neuro-fuzzy inference system (ANFIS): A

new approach to predictive modeling in QSAR applications: A study of neuro-fuzzy

modeling of PCP-based NMDA receptor antagonists”, Bioorganic and Medicinal

Chemistry, 15(12), 4265–4282

[Car01] Carlsson, C., and Fuller, R., 2001, “Optimization under fuzzy if-then rules,” Fuzzy

Sets and Systems, 119(1), 111-120.

[Car05] Cardona, R., 2005, “International Conference on Energy Security in the age of

Globalization’, World Federation of Trade Union, New Delhi.

[Cer85] Cerny, V., 1985, “Thermodynamics approach to the traveling salesman problem:

an efficient simulation algorithm”, J Optimization Theory Appl, 45: 41–51.

[Cha00a] Chan, F.T.S., Chan, M.H. and Tang, N.K.H., 2000, “Evaluation methodologies for

technology selection”, Journal of Materials Processing Technology, 107, 330-337.

[Cha00b] Chan, F.T.S., Jiang, B. and Tang, N.K.H., 2000, “The development of intelligent

decision support tools to aid the design of flexible manufacturing systems,

International Journal of Production Economics, 65 (1), 73-84.

Page 5: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

297

[Cha03] Chachage, B., 2003, “Jatropha oil as a renewable fuel for road transport. Policy

implications for technology transfer in Tanzania”, M.Sc. Thesis, International

Institute for Industrial Environmental Economics, Lund University, Lund.

[Cha05] Chan, F., and Kumar, N., 2005, “Global supplier development considering risk

factors using fuzzy extended AHP based approach”, The International Journal of

Management Science, 1-15.

[Cha06] Chang, F.J., and Chang, Y.T., 2006, “Adaptive neuro-fuzzy inference system for

prediction of water level in reservoir”, Advances in Water Resources, 29(1), 1–10

[Cha08] Chakraborty, S., et al., 2008, “Partial replacement of cupola Pig Iron charge by

Sponge Iron”, Indian Foundry Journal, 58(8), 43-49.

[Cha92] Chang, D., 1992, “Extent analysis and synthetic decision, optimization techniques

and applications”, World Scientific, Singapore, 1, 352.

[Cha96] Chang, D. Y., 1996, “Applications of the extent analysis method on fuzzy AHP”,

European Journal of Operational Research, 95, 649-655

[Cha97] Chaudhari, S.P., 1997, “Efficient Air System and Control in modern Cupola”,

Indian Foundryman Journal, 22-26.

[Che07] Chen, L., Margesan, K.L., and Tong, S., 2007, “Spatiotemporal relationship

between particle air pollution and respiratory emergency hospital admission in

Brisbane", Australia.

[Che09] Chen, Y., Kilgour, D. M., and Hipel, K. W., 2009, “Using a benchmark in case-

based multi-criteria ranking”, IEEE transactions on systems, man, and

cybernetics, 39(2), 358-368.

[Che92] Chen, S. T., and Hwang, C. L., 1992, “Fuzzy multiple attribute decision making

methods and applications”, New York: Springer-Verlag, 1-5.

[Che94] Chen, W.H., And Srivastava, B., 1994, "Simulated Annealing procedures for

forming machine cells in group technology", European Journal of Operations

Research, 100 – 111.

[Che99] Cheng, C.H., 1999, “Evaluating weapon systems using ranking fuzzy numbers”,

Fuzzy Sets and Systems, 107, 25-35.

[Chi05] Chiba, K., Obayashi, S., Nakahashi, K.,and Morino, H., 2005, “High-fidelity

multidisciplinary design optimization of wing shape for regional jet aircraft-

Evolutionary multi-criterion optimization”, 3rd International Conference - EMO,

3410, 621-635.

[Chi97] Ching – Hsue, C., 1997, “ Evaluating naval tactical missile systems by fuzzy AHP

based on the grade value of membership function”, European Journal of

Operational Research, 96 (2), 343-350.

[Cho03] Choudhary, S., et al., 2003, “Measurement of particulate matters and Gaseous

pollutants in foundry”, Indian Foundry Journal, 28-33.

[Cho06] Chokkalingan B., 2006, “Controlling of casting defects through defect solving

techniques”, Indian foundry Journal, 34-36.

[Cho95] Chow, J.C., et al., 1999, Journal of the Air & Waste Management Association,

49(9), 16-24

[Chu94] Chung, F.L. and Lee, T., 1994, "Fuzzy competitive learning", Neural Networks,

7(3), 539– 551.

[Coe06] Coello, C.A.C., 2006, "Evolutionary Multi-objective Optimization", A Historical

view of the field, IEEE Computational Intelligence Magazine, 28-36.

[Com93] Combettes, P.L., 1993, “The foundations of set theoretic estimation”, Proceedings

of the IEEE, 81(2), 182–208.

Page 6: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

298

[Cor00] Cornelissen, A.G., et al., 2000, “Assessment of Sustainable Development, A Novel

Approach Using Fuzzy Set Theory”, Source

http:/www.eur.nl/WEBDOC/doc/erim/erimrs20000622134831.pdf. Retrieved_on :

25th June 2003.

[Cot95] Cottrell, M., Girard, B., Girard,Y., Mangeas, M., Muller, C., 1995, Neural

modeling for time series: a statistical stepwise method for weight elimination.

IEEE Transactions on Neural Networks (6), 1355-1364.

[Cub95] Cubillo, S., Trillas, E. and Castro, J.L., 1995, “Conjunction and disjunction on

(0,1)”, Fuzzy Sets and Systems, 72, 155–165.

[Cuh34] Cuhna, D.S.J., 1934., “Contribution à l'étude du pourghère aux îles du Cap Vert.

Anais do Instituto Superior de Agronomia. 6(1), 116-126.

[Cyb89] Cybenko,G., 1989, “Approximation by superposition of a sigmoidal function”,

Math. Control Systems Signals, 2(4), 303-314.

[Czo94] Czogala, E. and Drewniak, J., 1994, "Associative monotonic operations in fuzzy set

theory", Fuzzy Sets and Systems, 12: 249–269.

[Das02] Das, G.P. et al, 2002, “Problems and prospects of SSI. Units”, Indian foundry

Journal, 27-30.

[Das09a] Das, I., Ravindra,B., 2009, “optimization by simulation”, Indian foundry journal,

55(11), 34-36

[Das09b] Das, P., 2009, “ focus on improving casting quality using statistical principles”,

Indian foundry journal, 55(10) , 38-44.

[Das99] Dastur, M.N., 1999, “The Indian Foundry Industry - Moving towards a New

Millennium”, Indian Foundry Journal, 45 (2), 29-34.

[Dat95] Datta, S.K., and Cele, A.B., 1995 “Induction Melting Practices: Basic Aspects and

Recent Trends,” Indian Foundry Journal, 17-22.

[Dav58] Davis, F., and Decrop, M.,1958, “Influence of Blast Input, Coke Size and Melting

Coke Ratios on Cupola Performance”, Foundry Trade Journal,. 319-325.

[Dav89] Davis, L., 1989, “Adapting operator probabilities in genetic algorithms”, Proc.

Third Int. Genetic Algorithms, 61-69.

[Dav94] Davis, L., and Williams, G., 1994, “Evaluation and selecting simulation software

using the analytic hierarchy process”, Integrated Manufacturing Systems, 5(1),

23-32.

[Del95] Della Croce, F.D., Tadei, R., and Volta, G., 1995, “A genetic algorithm for the job

shop problem, Computers and Operations research”, 22, 25-40.

[Dem94] Demirli, K. and Turksen, I.B., 1994, "A review of implications and the generalized

modus ponens", Proceedings of IEEE Conference on Fuzzy Systems, 2, 1440–1445.

[Den99] Deng, H., 1999, "Multicriteria analysis with fuzzy pairwise comparison."

International Journal of Approximate Reasoning 21(3), 215-231.

[Dha10] Dhananjay, B.D., 2010, “Improvement in Energy Efficiency in Foundry Industry

using Energy Management Practices and Energy Conservation”, 4th Thermal

Power India

[Dhu08] Dhumane, S., 2008, “Methoding of cast iron automotive castings” Indian foundry

journal, 54(8), 41-43

[Dia94] Diamond, P. and Kloeden, P., 1994, "Metric spaces of fuzzy sets: theory and

applications", World Scientific, Singapore.

[DKC08] D.K. Chaturvedi, 2008, “Soft Computing Techniques and its Applications in

Electrical Engineering, Studies in Computational Intelligence (SCI)”, Springer-

Page 7: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

299

Verlag Berlin Heidelberg,103.

[Dob09] Dobrzański, L. A., and Honysz, R., 2009, “Application of artificial neural networks

in modelling of normalised structural steels mechanical properties”, Journal of

Achievements in Materials, and Manufacturing Engineering, 32(1)

[Don07] Dongrey, A.P, 2007, “ Rejection control of cylinder heads”, Indian Foundry

Journal, 53(4), 45-57

[Dri08] Drivsholm Tiedje, et al, 2008, “resources savings by optimizing pocess conditions

in foundries”, Indian foundry journal, 54(9), 39

[Dub85] Dubois, D. and Prade, H., 1985, "A review of fuzzy set aggregation connectives",

Information Sciences, 36, 85–121.

[Dub91] Dubois, D. and Prade, H., 1991, "Fuzzy sets in approximate reasoning", Part I and

II: Inference with possibility distributions, Fuzzy Sets and Systems, 40(1), 143–

202.

[Duc99] Ducey, M. J., and Larson B.C., 1999, "A fuzzy set approach to the problem of

sustainability”,Forest Ecology and Management 115(1), 29-40.

[Dug94] Duggirala, R., Shivpuri, R., Kini, S., Ghosh, S., and Roy, S., 1994, “Computer

Aided approach for Design and Optimisation of Cold forming Sequences for

Automotive Parts”, J. of Mater. Proc. Technol., 46, 185-198.

[Dug99] Dugar, S.C. et al, 1999,“Energy efficiency improvement and pollution Reduction in

small scale Foundry unit in India’, Proceedings of “6th Asian Foundry Congress,

Calcutta”, 347.

[Dut98] Dutta, S.K., 1998, “Sponge Iron as Feed Material for Ferrous Foundries”, Indian

Foundryman Journal, 18.

[Eib03] Eiben, A.E. and Smith, J.E., 2003, “Introduction to Evolutionary Computing”,

Springer- Verlag, Berlin Heidelberg, New York.

[ELE01] http://www.inece.org/mmcourse/chapt4.pdf

[ELE02] http://castingstechnology.serversure.net/public/services/technologies/TECMeltingT

echniques.asp

[Ele03] http://www.eco-web.com/edi/070429.html

[Ele04] http://magnalenz.tradeindia.com/Exporters_Suppliers/Exporter4918.112060/MF-

INSTALLATIONS.html

[Ele06] http://repository.uobabylon.edu.iq/2010_2011/4_25364_730.pdf

[Ele07] http://210.212.115.113:81/K.Ranga%20Chari/BEE%20mtl/2Ch4%20FURNACES.p

df

[Ele108] http://www.reportjunction.com/Preview/Hinduja-Foundries-Limited-2011-

85769.htm

[Ele38] http://unesdoc.unesco.org/images/0012/001201/120152e.pdf

[Ene01] Energy Efficiency, Beyond 2000, 2001, "A Vision for Metal Casting Industry”,

Office of Industrial Technology, U.S.Department of Energy Bulletin.

[Ene04] Enea M and Piazza T, 2004, “Project Selection by Constrained Fuzzy AHP”, Fuzzy

Optimization and Decision Making, New York: Kluwer Academic Publishers: 3,

39–62.

[Ene99] Energy and Environmental profile of the U.S. Metal Casting Industry, 1999,U.S.

Department of Energy, Office of Industrial technology, U.S.A.

[Enr06] Enrique, H.V., and Pasi, G., 2006, “Soft approaches to information retrieval and

information access on the Web: An introduction to the special topic section: special

topic section on soft approaches to information retrieval and information access on

Page 8: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

300

the web”, Journal of the American Society for Information Science and

Technology, 57(4): 511–514.

[EPA01] Environmental Protection Agency, 2001, “Using Life cycle assignment to evaluate

preferably of Products in Foundry”, (FRED)Framework for Responsible

Environmental Decision making, USA.

[EPR09] Env Protection Rules, NAAQS, 2009, CPCB, Air Act, 1981, 259-260.

[EPR10] EPRI centre for materials production, 2010, “EAF Scrap Heating”, international

symposium on energy conservation, Carnegie Mellon Research Institute,

Pittsburg, Pennsylvania (USA).

[Fan96] Fang, H.L., Come, D., and Ross, P., 1996, “A genetic Algorithm for the job shop

problems with various schedule quality criteria”, In Forgarty, Tv editor,

Proceedings of AISB Workshop, Springer Verlag, Berlin, Germany, 39- 49.

[Fau94] Fausett, L., 1994, “Fundamentals of Neural Networks”, Prentice Hall, Eaglewood

Cliffs, N. J.

[Fog00] Fogel, D.B., 2000, “Evolutionary Computation: Towards a New Philosophy of

Machine Intelligence”, IEEE Press, New York.

[For01] Forman, E. H., and Gass, S.I., 2001, “The analytic hierarchy process- an

exposition”, INFORMS, 49(4), 469-486.

[Fra07] Franchini, M., Manucci, P.M., 2007, “Journal of Thrombosis and Homeostasis",

5(11), 2169-2174.

[Ful04] Fulton, L., Howes, T., and Hardy J., 2004, “Biofuels for transport: An

International Perspective”, International Energy Agency, Paris.

[Fun89] Funahashi, K., 1989, “On the approximate realization of continuous mappings by

neural networks”, Neural Networks 2, 183-192.

[Gai76] Gaines, B.R., 1976, "Foundation of fuzzy reasoning", International Journal of

Man–Machine Studies, 8, 623–668.

[Gai83] Gaines, B.R.,1983,"Precise pat – fuzzy future", International Journal of Man–

Machine Studies, 19, 117–134 .

[Gai85] Gaines, B.R. and Shaw, M.L.G., 1985, "From fuzzy logic to expert systems",

Information Sciences, 36, 5–16.

[Gaj09] Gajendran, S., and Kumar, S.S., 2009, “integration of lean compatible quality

management system, (LCQMS)”, International Journal of manufacturing science

and technology 3(2), 121-128.

[Gan05] Gandhinathan, R., et al., 2005,”Rejection Cost Control Techniques in Iron

Foundries”, Indian Foundry Journal , 36-40.

[Gan06] Gandhi, N.M.D., et al, 2006, “Sustainable Growth through green Productivity”,

Indian Foundry Journal, 32-37.

[Gan98] Ganeshwar, R.D., Patvardhan, C., and Singh, R., 1998, "Intermediate level Tool

Requirement Planning with Guided Evolutionary Simulated Annealing",

Proceedings of the International conference on Cognitive Systems, New Delhi.

[Gar05] Garcia, P.N., Hervas, M.C. and Oritz, B.D., 2005, “Cooperative co-evolution of

artificial neural network ensembles for pattern classification”, IEEE Transaction

of Evolutionary Computation, 9(3), 271-302.

[Gar06] Garrison, G. and Tyrrell, A.M., 2006, “Introduction to Evolvable Hardware: A

Practical Guide for Designing Self-Adaptive Systems”, Wiley, New York,.

[Gar11] Garg, N., 2011, President, The Insitute of Indian Foundrymen, addressing the

59th Indian Foundry Congress, 11th – 13th February, Hotel Shivalik View,

Page 9: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

301

Chandigarh, UT, . and* Modern casting issue.

[Gem92] Geman, S., Bienenstock E., and Doursat, R., 1992, “Neural networks and the

bias/variance dilemma,” Neural Computation, 4, 1-58.

[Ger93] Gershenfeld, N.A., and Weigend, A.S., 1993. The future of time series: learning

and understanding. In: Weigend, A.S., Gershenfeld, N.A. (Eds.), Time Series

Prediction: Forecasting the Future and Understanding the Past. Addison-Wesley,

Reading, MA, 1-70.

[Gho07] Ghosh, D., 2007, “energy management in foundry with special reference to cupola

based grey iron foundry” Indian foundry journal, 53(8), 37-41.

[Gho98] Ghodsypour, SH, O’Brıen CO, 1998, “A decision support system for supplier

selection using an integrated analytic hierarcy process and linear programming”,

Int. J. Prod. Econ. 56, 199-212.

[Gna11] Gnanamurthy, K., 2011, “Realization of light weight machine tool components by

modern foundry technology”, Indian foundry journal, 57(2).

[Goe12] Goel, N., Pal, P., and Ramamurthi, N., 2012, “Greening of MSME Foundries:

Challenges and Way Forward — A Case Study”, Indian Foundry Journal, 58(8),

44-52.

[Goh97] Goh, C. H., 1997, “Analytic Hierarchy Process for Robot Selection”, Journal of

manufacturing Systems, 16(5), 381-386.

[Gol89] Goldberg, D.E., et. al., 1989, “Messy Genetic Algorithms: motivation, analysis and

first result”, Complex Syst., 3, 493-530.

[Gol89a] Goldberg, D.E., 1989a, “Genetic Algorithms in Search, Optimisation and Machine

Learning”, Addison-Wesley, Reading, MA.

[Gol90] Goldberg, D.E., et. al., 1990, “Messy Genetic Algorithms revisited: Studies in

mixed size and scale”, Complex Syst., 4, 415-444,.

[Gol95] Goldman, S.L., Nagel, R.N., and Preiss, K., 1995, “Agile Competitors and Virtual

Organizations: Strategies for Enriching the Customer”, Van Nostrand Reinhold,

New York.

[Gra99] Grahim, N., et al., 1999, “Environmental effects of cupola”, Foundry Practice, 12-

16.

[Gro67] Grossberg, S., 1967, “Nonlinear difference – differential equations in prediction

and learning theory”, Proceedings of the National Academy of Science, USA, 58,

1329– 1334.

[Gro72] Grossberg, S., 1972, “Neural expectations: cerebellar and ratinal analogs of cells

fired by learnable or unlearned pattern classes”, Kybernetics, 10, 49–57.

[Gro86] Groover, M.P., Mitchell, N., Nagel Roger and N.G. Odrey, 1986, Industrial

Robotics: Technology, Programming and Applications, New York, McGraw Hill

Inc.

[Gub99] Gübitz, G.M., Mittelbach ,M., and Trabi M., 1999, “Exploitation of the tropical oil

seed plant” Jatropha curcas L. Bioresource Technology 67(1), 73-82.

[Guh10] Guha, N., 2010, “Technical meeting for foundry professional” April 28, RHS

Engineering Services, HOWRAH.

[Gun09] Gunaseelan, V. N., 2009, “Biomass estimates, characteristics, biochemical

methane potential, kinetics and energy flow from Jatropha curcas on dry lands”,

Biomass and Bioenergy, 33, 589-596.

[Gup00] Gupta, V.P., 2000, “Cast iron Casting Quality as affected by Melting unit”, Indian

Foundryman Journal, 34.

Page 10: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

302

[Gup05] Gupta, N., et al., 2005, “Production of casting by evaporative pattern casting”,

Indian Foundry Journal, 38-44.

[Gup11] Gupta N., Kant, M., Jeena, M., 2011, “Simulation of rectangular object with

shrinkage defect” IFJ, Journal of institute of Indian Foundryman, 57(5), 32-39.

[Gup77] Gupta, M., Saridis, G., and Gaines, B., 1977, “Fuzzy Automatica and Decision

Processes”, North-Holland, New York.

[Gup98] Gupta, M.M. and Yamakawa, T. (eds.), 1998, "Fuzzy computing: theory, hardware,

and applications", North Holand, New York.

[Gya06] Gyanmurthy, K., “Peoples and skills for foundry industry”, Foundry, 59-63.

[Hal94] Halgamuge, S.K., and Glesner, M., 1994 , “Neural Networks in Designing Fuzzy

Systems for Real World Applications”, Fuzzy Sets and Systems, 65, 1-12.

[Han00] Hans, R.K., Sharma, R.S., Srivastava, S., and Patvardhan, C., 2000, “Modeling of

Manufacturing Processes with ANN for Intelligent Manufacturing”, International

Journal of Machine Tools and Manufacture, 40, 851-868.

[Han05] Hanne, T.,and Nickel, S., 2005, “A multi-objective evolutionary algorithm for

scheduling and inspection planning in software development projects”, European

Journal of Operation Research, 01167(3), 663-678.

[Han06] Hans, R.K., Sharma, R.S., Setia, R., Upadhyay, V., and Verma, A.K., 2006,

“Modeling of Micro End Milling Operations with Artificial Neural Network

Models”, International Journal of Agile Manufacturing, 6, 99-103.

[Har04] Harsh, K. et al., 2004, “Indian Pig Iron Scenario”, Indian foundry Journal, 53-58.

[Har05] Harsh, K. et al., 2005, “Pig Iron Scenario in India”, Indian foundry Journal, 33-37.

[Has95] Hassoun, M.H., 1995, “Fundamentals of Artificial Neural Networks”, The MIT

Press.

[Heg00] Hegyn, G., and Hegyn, T., 2000, “Air Products Cupola, Oxygen /Fuel System”,

“Foundryman”, 254-256.

[Hei90] Heistermann, 1990, “The application of a genetic approach as an algorithm”.

Lecture Notes in Computer Sciences, 496, 297–307.

[Hel96] Heller, J., 1996, “Physic nut. Jatropha curcas L. Promoting the conservation and

use of underutilized and neglected crops” Institute of Plant Genetic and Crop

Plant Research, Gatersleben, Germany, and International Plant Genetic Resource

Institute, Rome, Italy, 88 .

[Her42] Herves, S.A., et al., 1942, “Cupola blast Control”, “American Foundrymans

Society .

[Her91] Hertz, J., Krogh, A., and Palmer, R.G., 1991, “Introduction to the Theory of Neural

Computing”, Addison-Wesley Publishing Company.

[Hil06] Hill, J., et al., 2006, “Environmental, economic and energetic costs and benefits of

biodiesel and ethanol biofuels”. PNAS Vol.103 N° 30.

[Hip01] Hippert, H.S., Pedreira, C.E., and Souza, R.C., 2001, “Neural networks for short-

term load forecasting: a review and evaluation”, IEEE Transaction on Power

System, 16(1), 44–55.

[Hir89] Hirota, K. and Ozawa, K.,1989, "The concept of Fuzzy Flip Flop", IEEE

Transactions on Systems, Man, and Cybernetics, 19(5), 980–997 .

[Hol62] Holland J.H., 1962, "Outline for a Logical Theory of Adaptive Systems", J. ACM,

9(3): 297-314

[Hol73] Holland J.H., 1973, Genetic Algorithms and the Optimal Allocation of

Trials", SIAM J. Comput., 2(2): 88-105

Page 11: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

303

[Hol74] Holland J.H., 1974, "Erratum: Genetic Algorithms and the Optimal Allocation of

Trials", SIAM J. Comput., 3(4): 326

[Hor89] Hornik, K., Stinchcombe, M., White, H., 1989, “Multilayer feedforward networks

are universal approximators”, Neural Networks 2, 359-366.

[Hor91] Hornik, K., 1991, “Approximation capabilities of multilayer feedforward

networks”, Neural Networks 4, 251-257.

[Hor93] Hornik, K., 1993, “Some new results on neural network approximation”,Neural

Networks 6, 1069-1072.

[Hu64] Hu, M. J. C., 1964, “Application of the adaline system to weather forecasting”,

Master Thesis, Technical Report 6775-1, Stanford Electronic Laboratories,

Stanford, CA.

[Iri88] Irie, B., Miyake, S., 1988, “Capabilities of three-layered percep- trons”, In:

Proceedings of the IEEE International Conference on Neural Networks, I, 641-

648.

[Iye07] Iyengar, S.N. (Prof.), 2007, “Foundry Metallurgy”, “Foundry”, 83-84.

[Jai07] Jain, R.K., Gupta, B.D., et al., 2007,“Energy Consideration in Indian Ferrous

Foundries – An Overview”, proceedings of National Conferences on RAME 2007”,

Etawah, 26-28.

[Jai11] Jain, R. K., et al.,2011, “Modeling, Optimization and simulation of Rotary Furnace

using Artificial Neural Network”, International Journal of Engineering Science

and Technology (IJEST), 3(4), 2609-2621

[Jan93] Jang, J.S.R., 1993, “ANFIS: Adaptive-Network-Based Fuzzy Inference Systems”,

IEEE Transaction on Systems, Man and Cybernetics, 23(2), 665-685.

[Jan97] Jang, J.S.R., Sun, C.T. and Mizutani, E., 1997, “Neuro-Fuzzy and Soft

Computing”, Prentice Hall, New York, 96-97.

[Jav10] Javier N., et al., 2010 “Enhanced Foundry Production Control”, Proceedings of the

21st international conference on Database and expert systems applications, 213-

220.

[Jef07] Jeffery, W., 2007, “Carbon Loaded” Mechanical Engineering, 129(4), 38-39.

[Jeg03] Jeganathan, C., 2003, “Development of Fuzzy Logic Architecture to Assess the

Sustainability of the Forest Management”, M.Sc. Thesis. Enschede, ITC, 126.

[Jer91] Jeruissen,P.C.J., and Van E.P.C., 1991, 45-“Numerical simulation of mould

filling for metal casting.”

[Jon07] Jongschaap, REE., et al., 2007, “Claims and facts on Jatropha curcas L. Global

Jatropha curcas evaluation, breeding and propagation programme. Plant

Research International BV, Wageningen. Strichting Het Groene Woudt, Laren.

Report 158, 66.

[Jon90] Jones, R.D., et al., 1990. Function approximation and time series prediction with

neural networks. In: Proceedings of the IEEE International Joint Conference on

Neural Networks, San Diego, CA, 1, 649-665.

[Jor11] Jorge S., and Sanchez , 2011, “Atmospheric particulate matter concentration and

annual variability in an urban area of NW Spain”, 34.

[Jos06a] Joshi, D., et al., 2006, “Environmental impact of ferrous castings quantified using

life cycle analysis”, Indian foundry Journal, 33-42.

[Jos06b] Joshi, S., et al., 2006, “Concept of treatment of air pollution form cupola furnace”,

Indian Foundry Journal, 42-52.

[Jos95] Joshi, P.R., and Rao, A.R., 1995, “Energy Conservation and Air Pollution Control

Page 12: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

304

in Grey Cast Iron Foundries with Emphasis on Cupola Melting”, Indian Foundry

Journal, 24-27.

[Jou01] Journal of Cast Metals Association, U.S.A., 2001, California, Report on Energy in

Metal Melting,"Metal Melting Efficiency in Iron Foundry”, 19-20.

[Jun99] Jung, H. W. and Choi, B. J., 1999, "Optimizing Models for Quality and Cost of

Modular Software Systems”, European Journal of Operational Research, 112(3),

138-144.

[Kah04] Kahraman, C. U., Cebeci, et al., 2004, “Multi-attribute comparison of catering

service companies using fuzzy AHP” The case of Turkey, International Journal of

Production Economics, SU.

[Kah98] Kahraman, C., Ulukan, Z.,and Tolga, E., 1998, “A fuzzy weighted evaluation

method using objective and subjective measures”, Proceedings of International

ICSC Symposium on Engineerind of Intelligent Systems (EIS 98), 1, 57-63.

[Kam07] Kamlesh, K.S., 2007,“energy efficiency in foundry process and casting rejection

control”, Indian foundry journal, 53(11), 45-55.

[Kan00] Kandade, R.R., 2000, “The role of zirconia oxygen process in energyConservation”,

Indian Foundry Journal, 40.

[Kan11] Kantardzic., Mehmed, 2011, Data Mining: Concepts, Models, Methods, and

Algorithms, Second Edition. by Institute of Electrical and Electronics Engineers.,

John Wiley & Sons, Inc.,

http://media.wiley.com/product_data/excerpt/52/04708904/0470890452-211.pdf

[Kan91] Kang, S., 1991, " An Investigation of the Use of Feedforward Neural Networks for

Forecasting", Ph.D. Thesis, Kent State University.

[Kap02] Kapoor, V., and Z., Banu,2002, "Multi-Criteria Decision Making and Fuzzy

Analytic Hierarchy Process", A Comparative Study, Proceedings of the National

Seminar on Soft Computing and its Engineering Applications, J.N.V. University,

Jodhpur, India.

[Kap06] Kapoor, V., 2006, “Rapid Growth among Indian foundries”, MMR Events Seminar

on foundry industry, at Coimbatore.

[Kar02] Karunakar, D.B., and Dutta, G.L., 2002, “Modeling of cupola furnace parameters

using artificial neural networks”, Indian foundry journal, 48(5), 29-39.

[Kar90] Karnin, E.D., 1990, A simple procedure for pruning back-propaga- tion trained

neural networks. IEEE Transactions on Neural Networks 1 (2), 239-245.

[Kar97] Kartam, N., Ian, F., Garrett James, H., Girish, A., 1997, Artificial Neural

Networks for Civil Engineers: Fundamentals and Applications. ASCE

Publications.

[Kas07] Kasi, S.P., 2007," energy conservation in foundry industy’ Indian foundry journal,

53(2), 42-44.

[Kau07] Kaushik, N., et al., 2007, “Genetic variability and divergence studies in seed

traits and oil contents of Jatropha (Jatropha curcas L.)”, accessions.» Fuel

Processing Technology Biofuels for Transportation, Biomass and Bioenergy, 497-

502.

[Kaw97] Kawaguchi, K., and Yamato, J.P., 1997, “Process for producing porous cast iron”,

United State patent 4173500.

[Kay03] Kaymak, U. and Sousa, J.M., 2003, “Weighted constraint aggregation in fuzzy

optimization”, Journal on Constraints. Springer Netherlands, 8(1), 61–78.

[Kay96] Kayashri P, KJeyashoke N, Krisangkura K, Survey of seed oils for use as diesel

fuels, J. Am. Oil Chem. Soc 73/4 (1996), 471-474

Page 13: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

305

[Ke 09] Ke L., Hong-ge M. and Hai-jing Z.,2009, “Application of Adaptive Neuro-Fuzzy

Inference System to Forecast of Microwave Effect”, IEEE Conference Publications,

1.

[Ke 78] Ke, J. S. and Chang, S. K., 1978, “Database skeleton and its application to fuzzy

query translation”, IEEE Transactions on Software Engineering, 4(1), 31-43.

[Ke 79] Ke, J. S. and Chang, S. K., 1979, “Translation of fuzzy queries for relational

database systems”, IEEE Transactions on Pattern Recognition and Machine

Intelligence, 1(3), 281-294.

[Kee93] Keeney R. L., and Rai'ffa, H., 1993, “Decisions with multiple objectives”,

Cambridge University Press, Business & Economics,.

[Kha03] Khadar, S.A.,2003, “Green productivity- Growth in harmony with nature”,

Industrial Engineering Journal, 32, 22-35.

[Kho95] Khouja, M., and D. E., Booth, 1995, “Fuzzy Clustering Procedure for Evaluation

and Selection of Industrial Robots”, Journal of Manufacturing Systems, 14 (4),

244-251.

[KHR09] K. H., Raj, Sharma, R. S., Srivastava, S., & Patvardhan, C., 2000, “Modeling of

manufacturing processes with ANNs for intelligent manufacturing”. International

Journal of Machine Tools & Manufacture, 40, 851-868.

[Kid94] Kidd, P.T., 1994, “Agile Manufacturing: Forging New Frontiers”, Addison - Wesley

Reading, M.A.

[Kim11] Kim, H.Y.,and Seung, W.B., 2011, “Experimental study of fuel lean re-burn

system for NOx reduction and CO emission in oxygen enhanced combustion”,

International Journal of Energy Research Vol. 35 issue 8, PP 710-720, June-201

[Kim92] Kim, C. S., and Yoon, Y., 1992, “Selection of a good expert system shell for

instructional purposes in business”, Information and Management, 23, 249-262.

[Kim97] Kim, J., and Moon, J. Y., 1997, “An AHP and survey for selecting workflow

management systems”, Intelligent Systems in Accounting, Finance and

Management, 6, 141-161.

[Kim99] Kim,J., and Kasabov, N., 1999, “HyFIS: adaptive neuro-fuzzy inference systems

and their application to nonlinear dynamical systems”, Neural Networks, , 12(9),

1301–1319

[Kip05] Kipourao, T.,et al., 2005, "M. Multi-objective optimization of turbo machinery

blades using tabu search", 3rd International Conference- EMO, 3410, 897-910.

[Kir83] Kirkpatrick, S., Gelatt, Jr C.D., and Vecchi, M.P., 1983, “Optimization by

simulated annealing”, Science, 220, 671-680.

[Kle88] Kleinbaum, D.G., Kupper, L.L., and Muller, K.E., 1988, "Applied Regression and

Other Multivariable Methods", 2nd ed. Boston, MA: PWS-KENT Publishing

Company.

[Kli88] Klir, G.J., and Folger, T. A., 1988, “Fuzzy Sets, Uncertainty, and Information”,

New Jersey, Prentice Hall.

[Kli95] Klir, G.J. and Yuan, B. , 1995, Klir, G. J., and Folger, T. A., 1988, “Fuzzy Sets,

Uncertainty, and Information”, New Jersey, Prentice Hall.Fuzzy Sets and Fuzzy

Logic, Theory and Applications. Prentice Hall, Englewood Cliffs, NJ .

[Koh96] Kohzadi, N., Boyd, M.S., Kermanshahi, B., and Kaastra, I., 1996, A comparison of

artificial neural network and time series models for forecasting commodity prices.

Neurocomputing 10, 169-181.

[Koi00] Koivo, H., 2000, “ANFIS: Adaptive Neuro-Fuzzy Inference System. European”,

Symposium on Intelligent Technology, Aachen, Germany.

Page 14: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

306

[Koj05] Kojima, M., and Johnson, T., 2005, “Potential for Biofuels for Transport in

Developing Countries”, Energy Sector Management Assistance Programme World

Bank, Washington, DC, 182.

[Kot03] Kottapalli, S.;Langari, R.; Malki, H. , 2003, Adaptive Neuro-Fuzzy Modeling of

UH-60A Pilot Vibration, ISBN: 1563476258, PAPERS- AMERICAN INSTITUTE

OF AERONAUTICS AND ASTRONAUTICS; 5; 3922-3930 Structures, structural

dynamics, and materials conference 44th, Structures, structural dynamics, and

materials conference,

http://rotorcraft.arc.nasa.gov/publications/files/Kottapalli1_2003.pdf

[Kot81] Kotchi, R.M. and Plustschack, L.A., 1981, “An easy and index pensive technique to

study the solidification of casting in three dimensions”, Transactions of American

Foundry – Society AFS, 89, 601-610.

[Koz92] Koza, J. R., 1992, “Genetic Programming: On the Programming of Computers by

Means of Natural Selection”, Cambridge, MA: MIT Press.

[Kra69] Kranuse, D.E., 1969, “Gray iron a unique engineering material”, published by the

iron casting research institute, California, USA.

[Kre07] Kreng, V. B., and Wu, C.Y., 2007, “Evaluation of knowledge portal development

tools using a fuzzy AHP approach: The case of Taiwanese stone industry”,

European Journal of Operational Research, 176, 1795-1810.

[Kri07] Krishnamurthy, V., 2007, “prospects of indian foundry industry”, Indian Foundry

Journal, 53(5), 36-38.

[Kua95] Kuan, C.M., and Liu, T., 1995. Forecasting exchange rates using feedforward and

recurrent neural networks. Journal of Applied Econometrics 10, 347-364.

[Kuk12] Kukla, S.,2012, “Costs Analysis of Iron Casts Manufacturing”, Archives of

Foundry Engineering, 12(2), 45-48.

[Kul98] Kulkarni, S.S., 1998, “Pollution control and Foundries, Souvenir”, 46th Indian

Foundry Congress, ll-17.

[Kum10] Kumar, G.B., Prabhakaran,N., et al., 2010, “Modified EIA for small and medium

projects", An effective method to make the projects Eco-friendly, IJES

(international journal of environmental sciences), 1(1), 55-65.

[Kum14] Kumru M. & Kumru,P.Y., 2014, “Using artificial neural networks to forecast

operation times in metal industry”, International Journal of Computer Integrated

Manufacturing, 27(1), 48-59.

[Kuo02] Kuo, R. J., Chi, S. C., and ,Kao, S.,S., 2002, “A decision support system for

selecting convenience store locating through integration of fuzzy AHP and

artificial”,

[Kut02] Kutler, Hans, 2002, “A Breath of Fresh Air”, Indian Foundry Journal, 43-45.

[Kut98] Kutner, GMBH and Co.,1998, KG, D-4300, ESSENI, W Germany Bulletin, 2-3.

[Laa83] Laarhoeven, P.J.M.Van, and Pedrycz, W., 1983, “A fuzzy extension of Saaty’s

priority theory”, Fuzzy Sets and Systems, 11, 229-241.

[Laa87] Laarhoven,V., PJM and Aarts EHL, 1987,. “Simulated Annealing:, Theory and

Practice”, Kluwer Academic Publishers: Dordrecht.

[Lac95] Lachtermacher, G., and Fuller, J.D., 1995, Backpropagation in time- series

forecasting. Journal of Forecasting 14, 381 -393.

[Lag13] Lagdive, P.B., Inamdar, K.H., 2013, Optimization of Riser in Casting Using

Genetic Algorithm”, International Archive of Applied Sciences and Technology,

4(2), 21-26

[Lah04] Lahanas, M., 2004, “Application of multi-objective evolutionary optimization

Page 15: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

307

algorithms in medicine”, Journal Application of Evolutionary Algorithms, 365-391.

[Lai02] Lai, V.S., Wong, B.K. and Cheung, W.,2002, “Group decision making in a multiple

criteria environment: a case using the AHP in software selection”, European

Journal of Operational Research, 137, 134-144.

[Lai99] Lai, V.S., Trueblood, R.P. and Wong, B.K., 1999, “Software selection: a case study

of the application of the analytic hierarchical process to the selection of a

multimedia authoring system”, Information & Management, 36, 221-232.

[Lal07] Lal, S., (Prof.), 2007, “Technological Improvements in Cupola Foundry” , 86 .

[Lan76] Landefeld,C.F., and Katz,S.,1976, “ A dual stream model .of carbon pick up based

on carbon activity” cast metals, 3,163-171

[Lan95] Landge, K.A., Kolhatkar, 1995, “Gas cleaning system in Foundry industries”,

Indian Foundry Journal.

[Lap87] Lapedes, A., Farber, R., 1987, Nonlinear signal processing using neural networks:

prediction and system modeling. Technical Report LA-UR-87-2662, Los Alamos

National Laboratory, Los Alamos, NM.

[Lee99] Lee, M., Pham, H.,and Zhang, X., 1999, “A methodology for priority setting with

application to software development process”, European Journal of Operational

Research, 118, 375-389.

[Lei79] Leidel, D.S., 1979, “Factors influencing the selection of casting process in

foundry”, Indian foundry Journal, 8-12.

[Leu00] Leung, L.C., and Cao, D., 2000, “On consistency and ranking of alternatives in

fuzzy AHP”, European Journal of Operational Research, 124, 102-113.

[Lev06] Levinson, D., and Chen, W., 2006, “Traffic Management System Performance

Using Regression Analysis”, ISSN 1055-1417, University of Minnesota

[Lev47] Levis, W.W., 1947, “Variables affecting carbon control in cupola”, transactions of

AFS, 55, 626-632.

[Lev93] Levin, A.U., and Narendra, K.S., 1993. Control of nonlinear dynamical systems

using neural networks: Controllability and Stabilization. IEEE Transactions on

Neural Networks 4 (2), 192-206.

[Lia98] Liao T. W., & Chen L. J., 1998, “Manufacturing Process Modelling and

Optimisation Based on Multi-Layer Perceptron Network”, J. of Manufacturing

Science and Engineering, 120, 109-119,

[Lin97] Lin, S., Goodman, E., and Punch, W., 1997, “A genetic Algorithm approach to

dynamic job shop scheduling problems”, In Back, T., editor, Proceedings of the

seventh International Conference on Genetic Algorithms, Morgan Kaufmann, San

Mateo, California, 481-489.

[Lip87] Lippmann, R.P., 1987, “An Introduction to Computing with Neural Network”,

IEEE Acoustic, Speech, and Signal Processing Magazine, 4.

[Lit10] Littleton, H.E., and Druschitz, A.P., 2010, "AFS transactions", 118, 493.

[Loo97] Lootsma, F. A., 1997, “Fuzzy Logic for Planning and Decision Making”, Dordrecht,

Kluwer Academic Publisher.

[Lov99] Lovatt, A.M. et al., 1999, “Environment of Iron Foundry”, International cast metal

Research Journal, 211-255.

[Luc99] Lucic, P., and Teodorovic, D., 1999, “Simulated annealing for the multiobjective

aircrew roistering problem”, Transportation Res Part A 33: 19–45.

[Mah02] Mahila, T.M.I., Chowdhury, I.A., 2002, “Theory of Energy Efficiency Standards

and levels”, Energy Conservation and Management, 43, 743-761.

Page 16: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

308

[Mai95] Maiti, B.R., 1995, “Detection and Monitoring Techniques for Environmental

Pollution from Foundries”, Indian Foundry Journal, 25-29.

[Mal00] Malakooti, B., and Raman, V., 2000, “An interactive multi-objective artificial

neural network approach for machine setup optimization”, Journal of Intelligent

Manufacturing, 11, 41-50.

[Mal02] Malhotra, R.,and Malhotra, D.K., 2002, “Differentiating between good credits and

bad credits using neuro-fuzzy systems”, European Journal of Operational

Research, 136(1), 190–211

[Mal91] Malakooti, B., 1991, “An interactive online multi-objective optimization approach

for metal cutting turning operation,” International Journ.al of Production

Research, 29(3), 575- 579.

[Mam02] Mamaghani, F., 2002, “Evaluation and selection of an antivirus and content

filtering software”, Information Management and Computer Security, 10(1), 28-32.

[Mam75] Mamdani, E.H., Assilian, S., 1975, “An Experiment in Linguistic Synthesis with a

Fuzzy Logic Controller”, International journal of Man-Machine Studies, 7(1), 1-13.

[Man05] Manos, S., Poladian, L., Bentley, P.,and Large, M., 2005, “Photonic device design

using multi-objective evolutionary algorithms”, 3rd International Conference-

EMO, 3410, 636-650.

[Man06] Mandal, P., Tomonobu, S., Naomitsu, U., and Toshihisa, F., 2006, “Electricity

price and load short-term forecasting using artificial neural networks”,

International Journal of Emerging Electric Power Systems, 7(4), Article 4.

[Mar08] Martinson, C.M., 2008, “Air pollution control system for you” foundry

management and technology”, 48(11), 17-20.

[Mar12] Mardan, N., and Klahr, R., 2012, “Combining optimisation and simulation in an

energy systems analysis of a Swedish iron foundry” Energy, 44(1), 410-419.

[Mas05] Masaomi, M., et al., 2005, “Effect of gating design on mold filling”, (AFS)

American foundry society, transaction 2005, AFS, Schaumburg, Illinois USA.

Paper 05-152.

[Mat96] Mattfeld, D, 1996, “Evolutionary search and the job shop”, Springer.

[MC013] Modern Casting Magazine December, 2013, 18-23.

[McC43] McCulloch, W.W. and Pitts, W., 1943, “A logical calculus of ideas imminentin

nervous activity”, Bulletin of Mathmatical Biophysics, 5, 115–133.

[McC95] Mc Combe C., 1995, “No Shortage of innovation at Hurt Bros.”, “The Foundry”, 11,

12-23,

[Meh90] Mehta, Y.M., and Patankar, D.V., 1990, “Sustainability of Indian Foundry

industry”, Indian foundry Journal, 21-24.

[Men04]. Mendoza and Prabhu, 2004, “Fuzzy methods for assessing criteria and indicators

of sustainable forest management”, Ecological Indicators, 3(4), 227-236.

[Men06] Mendis, B.S.U., Gedeon, T.D., Botzheim, J., K´oczy, L.T., 2006, “Generalised

weighted relevance aggregation operators for hierarchical fuzzy signatures”,

International Conference on Computational Intelligence for Modelling Control and

Automation (CIMCA’06), 198.

[Mes11] Mesbah, G.K., and Amir, F., 2011, “A review on micro channel heat exchangers

and potential applications”, International Journal of Energy Research, 35(7), 553-

582.

[Met12] Metalworld, 2012, “Indian foundry industry”, 39-42.

[Met53] Metropolis,N., et al., 1953, “Equation of state calculations by fast computing

Page 17: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

309

machines”, Journal of Chemical Physics, 21(6), 1087-1092.

[Mic02] Michigan, 2002, Department of Environmental Quality, Michigan U.S.A.

“Emission Calculation Fact Sheet for Foundries of Michigan", Environmental

Science and Series, Michigan U.S.A.

[Mic06] Michael, G.A., 2006, “Cost effective casting design”, Foundry, 13-15.

[Mic92] Michalewiccz, Z., 1992, “Genetic Algorithms + Data Structure = Evolution

Programs”, Springer, Berlin Heidelberg, New York.

[Mie99] Mieser, L., et al., 1999, “Environmental Aspect of Foundry in Germany”,

GIESSEREIFORSHUNG, 91-99.

[Mil97] Millet, I., 1997, “Ethical decision making using the analytic hierarchy process”,

Journal of Business Ethics, 17 (11), 1197-1204.

[Min69] Minsky, M. L. and S. A. Papert. 1969, Perceptrons. MIT Press, Cambridge.

[Min92] Min, H., 1992, “Selection of software: the analytic hierarchy process”,

International Journal of Physical Distribution and Logistics Management, 22(1),

42-52.

[Miz94] Mizugaki,. Y., M. Hao, 1994, “Sakamoto and H. Makino, Optimal Tool selection in

minimizing the total machining time using Genetic Algorithm”, Annals CIRP, 43,

433.

[Miz94] Mizugaki,. Y., M. Hao, Sakamoto and H. Makino, 1994, “Optimal Tool selection in

minimizing the total machining time using Genetic Algorithm”, Annals CIRP, 43,

433.

[Moh93] Mohanty, R.P., and Venkataraman, S., 1993, “Use of the analytic hierarchy

process for selecting automated manufacturing systems”, International Journal of

Operations and Production Management, 13(8), 45-57.

[Moh98] Mohammad, N.S., Sunder, M., Angelo,P.C., and Radha Krishnan, S, 1998,

“Pollution Control in Electric furnaces and oil fired furnaces,” Indian Foundry

Journal, 37-40.

[Mol05] Molina, C.A., Griffin, I.A., Fleming, P.J., and Owens, D.H., 2005, “Multiobjective

Controller design: Optimizing Controller Structure with genetic algorithms”,

IFAC World Congress on Automatic Control.

[Mon08] Montgomery, D.C., 2008, “Introduction to statistical quality control”

[Mor77] More, J. J., 1977, “The Levenberg - Maquardt Algorithm: Implementation and

theory, Numerical Analysis”, G. A. Watson (Ed.), Lecture Notes in Mathematics,

Springer Verlag, 630, 105-116.

[Muk09a] Mukopadhayaya, M.K., 2009, "Energy Conservation in foundries by controlling

rejections”, Indian foundry journal, 55(3), 39-40

[Muk09b] Mukhopadhyay Gautam, 2009,” MMR events 5th one day seminar on foundry

industry”, innovate today for better tomorrow” ,IIT Bombay.

[Mur10] Murthy, H. S.,2010, “Status of Indian Foundry Industry,” The Institute of Indian

Foundrymen, http://www.slideshare.net/NFTN/status-of-Indian-foundry-industry.

[Mur94] Murata, N., Yoshizawa, S., and Amari, S., 1994, Network information criterion-

determining the number of hidden units for an artificial neural network model.

IEEE Transactions on Neural Networks 5 (6), 865-872.

[Mut08] Muthukumar, R., 2008, “Effective and efficient innovative technologies”, Indian

Foundry Journal, 54(7), 30-33.

[Muz89] Muzhlenbein, H., 1989, “Parallel genetic algorithms, population genetics and

combinatorial optimization”, Proceedings of Third International Conference on

Page 18: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

310

Genetic Algorithms. Morgan Kaufmann, Los Altos, CA.

[Nak93] Nakanishi, H., Turksen, I.B., and Sugeno, M.,1993, "A review and comparison of

six reasoning methods", Fuzzy Sets and Systems, 57(3), 257–294.

[Nar03] Narayan, S., 2003, “Emission Standards and Relevant Acts with special reference

to Foundry industry”, Indian Foundry Journal, 19-23.

[Nar90] Narendra, K.S.,and Parthasarathy, K., 1990. Identification and control of

dynamical systems using neural networks. IEEE Transactions on Neural

Networks 1 (1), 4-27.

[Nat07] Nath B., Pal, P., and Panigrahy, K.C., 2007, “energy conservation among indian

foundries” Indian foundry journal, 53(8), 27-30.

[Nau96] Nauck, D., and Kruse, K., 1996, “Neuro-fuzzy Systems Research and Applications

Outside of Japan”, (in Japanese), Fuzzy-Neural Networks (in Japanese), Soft

Computing Series, Asakura Publications, Tokyo, 108-134.

[Nay04] Nayak, P.C., Sudheer, K.P., Rangan, D.M., and Ramasastri, K.S., 2004, “A neuro-

fuzzy computing technique for modeling hydrological time series”, Journal of

Hydrology, , 291,(1–2, 31), 52–66

[NCT05] NCTS Helpline, 2005, “Case Study of Efficient Cupola Operation”, Indian

Foundryman Journal, 63.

[NCT06] NCTS Helpline, 2006, “Interesting Case Study on Cupola Operation”, Indian

Foundry Journal, 77.

[Ned93] Nedugadi, A., 1993, "A fuzzy logic based robot control", Jorunal of Intelligent and

Fuzzy Systems, 1(3), 243–251.

[Neg85] Negoita, C. V., 1985, “Expert Systems and Fuzzy Systems. Menlo Park”,

California, The Benjamin/Cummings.

[Neh11] Neha, R., Neelanchal, D.,and Pallavi, P., 2011, “Carbon credits and reduction in

carbon dioxide emission” RAME (Recent advances in Mechanical Engineering,

A.I.C.T.E. sponsored conference, B.S.A.C.E.T. Mathura, Proceed. 261-269.

[Nga05] Ngai, E.W.T., and Chan, E.W.C., 2005, “Evaluation of knowledge management

tools using AHP”, Expert Systems with Applications, 29(4), 889-899.

[Nic05] Nicolini, M., 2005, “A two-level evolutionary approach to multi-criterion

optimization of water supply systems objective”, 3rd International Conference-

EMO, 3410, 736- 751.

[Nie90] Nielsen, R.H., 1990, “Neurocomputin”. Addison-Wesley, Reading, MA.

[Now89] Nowack, M., and Schuster, P., 1989, “Error thresholds of replication in finite

populations mutation frequencies and the Onset of Muller’s Rutchet”, Journal of

Theoretical Biology, 137, 375-395.

[NPIB99] "National Pollution Inventory Board", Queensland, (U.S.A.)

[Oha99] Ohnaka, I., 1999, “Progress in computer simulation of casting of spheroidal cast

iron in Japan”, International Journal cast metals research, 11, 267– 272.

[Olc05] Olcer, A. I., and Odabasi, A. Y., 2005, “A new fuzzy multiple attributive group

decision making methodology and its application to propulsion/manoeuvring

system selection problem”, European Journal of Operational Research, 166, 93-

114.

[Ole00] Olenbush, E.F.R., 2000,“Environmental Solution”, Engineering Casting Solutions,

39-41 .

[Osm05] Osman, M.S., Abo-Sinna, M.A., and Mousa, A.A., 2005, “An effective Genetic

Algorithm approach multi-objective resource allocation problems (MORAPs)”,

Page 19: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

311

Applied Mathematics and Computation, 163(2), 755- 768.

[Oss99] Ossadnik, W., and Lange, O., 1999, “AHP-based evaluation of AHP software”,

European Journal of Operational Research, 118, 578-588.

[Oud10] Oudhia, S.P., 2010, “Foundry Industry - Future Ahead”, Metalworld, 33-35.

[Pal02] Pal, P., and Nath, A.,2002, “Energy Efficient and Environmental Friendly

Cupola”, “FOUNDRY”, 37-42.

[Pal04] Pal, S.K., 2004, Soft data mining, Computational theory of perceptrons, and

rough-fuzzy approach, Inf. Sci. 163(1-3): 5-12.

[Pal07] Pal, P.,2007, "Towards CleanerTechnology", Book Published by TERI, New Delhi,

180-190.

[Pal08] Pal, P., and Vasudevan, N., 2008, “ Benefits of divided blast cupola” Indian

Foundry Journal”, 54(8), 40-42

[Pal14] Pal, P., Sethi G., Kakkad , K., and Shah, G., , 2014, “Energy-Efficient Small

Cupola for Indian Foundry Unit: Result of an Applied Research Project”, Indian

Foundry Journal, 60(1), 30-33.

[Pal92] Palm, R., 1992, "Control of redundant manipulatorusing fuzzy rules", Fuzzy Sets

and Systems, 45(3), 279–298.

[Pan07] Pandey, G.N., Singh, R., and Sinha, A.K., 2007, “ efficient energy measures in

steel foundry” Indian foundry journal, 53(10), 42-49

[Pan95] Panigrahi, S.C., 1995, “Some aspects of pollution in foundries”, Indian Foundry

Journal, 1-9.

[Par06] Parikh, N., 2006, “Producing foundry patterns using rapid prototyping

technology”, FOUNDRY, 37-39.

[Par07] Parappagoudar,M.B., Pratihar,D.K., and Dutta,G.L., 2007 - “Linear and Non

linear statistical modeling of green sand mould system”.

[Par98] Parthsarthy, T.C., and Kumar, T.S.V., 1998, “Air Pollution Control in Foundries”,

Indian Foundry Journal, 115-121.

[Pat02] Patel S., Chowdhury S.,2002, “Energy Efficient and Environmental Friendly

Melting Plant- Divided Blast Cupola”, Indian Foundry Journal, 53-57, 2002.

[Pat13] Patel, M., Prasad Krishna, 2013, “A Review on Application of Artificial Neural

Networks for Injection Moulding and Casting processes, International journal of

advances in Engineering science, 3(1.)

[Pav09] Pavlovic, J., Balir, R., 2009, “New casting technologies and prediction of casting

properties using advanced computational simulation technology” paper presented

at – International Ph.D. Foundry conference, at University of Magdeburg,

Germany.

[Ped97] Pedhazur, E.J., 1997, "Multiple Regression in Behavioral Research". 3rd ed. Fort

Worth, TX: Harcourt Brace College Publishers.

[Peh63] Pehle, R. D., 1963, “Thermo-chemical model of computer prediction of cupola

performance”, AFS Transactions, 71, 580-587.

[Peh64] Pehlke,R.D., 1964,“thermo chemical model of computer prediction of cupola

performance”, transactions of AFS 1963 ,71, 580-587

[Per07] Perzyk M., 2007, “Statistical and Visualization Data Mining Tools for Foundry

Production”, Archives of Foundry Engineering, 7(3), 111 – 116.

[Per13] Perzyk, M, Kozlowski, J., Wislocki, M.,2013, “Advanced Methods Of Foundry

Processes Control”, ARCHIVES OF METALURGY AND MATERIALS, 58(3), 899-

902.

Page 20: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

312

[Pha08] Phan AN, Phan TM, Biodiesel production from waste cooking oils, Fuel 87/17-18

(2008) 3490-3496.

[Phi01] Phillis, Y. A., and Andriantiatsaholiniaina, L. A., 2001, "Sustainability: an ill-

defined concept and its assessment using fuzzy logic”, Ecological Economics 37(3),

435-456.

[Phi04] Phillips-Wren, G. E., Hahn, E. D., and Forgionne, G. A., 2004, “A multiple-criteria

framework for evaluation of decision support systems”, OMEGA, 32(4), 323-332.

[PIF07] Profile of Indian Foundry Industry, 2007, “Foundry Informatics Centre”, Delhi,

Source: http://www.foundryinfoindia.org/About_Us/profile_of_indian.aspx.

[Pil02] Pillai, R.M., 2002, “Environment and cast Metal industry”, Indian Foundry

Journal, 25-29.

[Pin93] Pin, F.G., 1993, "Step towards sensor based vehicle navigation in outdoor

environments using a fuzzy behaviourist approach", Journal of Intelligent and

Fuzzy Systems, 1(2), 95–107.

[Pir04] Pires, E., et al., 2004, “Multi-objective genetic manipulator Trajectory Planner,

Applications of Evolutionary Computing”, Proceedings of Evo-workshops, 3005,

219-229.

[Poi86] Poirier,D., and Salcudean,M., 1986, “Numerical methods used in mathematical

modeling of phase change in liquid metal” ASME paper 86WA/HT-22, writer

annual meeting of ASME, California (USA).

[Por12] Poras, A., Sharma, R.K., Gaur, S.K., and Bajpai, A.K.,2012, “Dynamic Modeling

for Strategic Planning of a Small Foundry Using System Dynamics”, Advances in

Intelligent and Soft Computing, 131, 451-461.

[Pou06] Pourmahabadian, M., Mansouri, N., 2006, “Carbon monoxide monitoring at

stationary and mobile stations”, Journal of Applied Science, 6(6), 1384-1388.

[Pra06] Prasad, P.G.S., et al., 2006, “Heat stress evaluation of a worker in Foundry”,

Indian Foundry Journal, 35-41.

[Pra09] Prasad, R., 2009, “Investment casting foundry practice”, FOUNDRY, 21(6), 49-51.

[Pre04] Prepen, N.H., Flinder, E., and Jora, C.S., 2004, “Casting process simulation”,

International Foundry research/Glessereif orsching 61 (4), Germany.

[Pro03] Proshanto, P., Bhatacharjee, S., et al., 2003, “Cupola Energy Improvement and

Pollution Reduction”, Indian Foundry Journal, 24-27.

[Pru08] Prueksakornand, K., and Gheewala S., 2008, “Full chain energy analysis of

biodiesel from Jatropha curcas L. in Thailand. Environ”, Sci. Technol. 42, 3388-

3393.

[Pur12a] Purshottam Kumar, Ranjit Singh, 2012, “Synergetic Approach for the Selection of

a Furnace Fuel in Production of Ferrous Castings in an Eco-friendly

Environment”, International Journal of Artificial Intelligence and Expert Systems

(IJAE), 3 (1).

[Rac95] Rachner (Dr.), 1995, “Duplexing with cokeless cupola”, The Foundryman, 368-369.

[Rad00] Radko, M., Mayor, G., and Calvo, T.,2000, "Aggregation operators: new trends and

applications", Journal of Electrical Engineering 12, 29–32 .

[Rad03] Radhakrishna, M., Ranjit Singh, Patvardhan, C., 2003, “Effects of burner shape

on fuel consumption and quality of castings produced by Rotary Furnace”,

Proceedings of 13th National conference of Indian Society of Mechanical

Engineers

[Rad04] Radhakrishna, M., Ranjit Singh, Patvardhan, C., 2004, “Eco-Friendly melting

technique producing quality castings for the sustainable development of Small-

Page 21: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

313

Scale Foundries”, Proceedings of International conference on Energy &

Environment, Jamia Millia Islamia, Delhi.

[Rad09] Radhakrishna, M., 2009, "Melting Techniques for Sustainable Development of

Small-Scale Foundries, A Ph. D. Thesis, DEI.

[Rah07] Rahul, S.S., 2007, “Shape Optimization of forming dies using Hybrid Evolutionary

Computational Techniques”, A Ph. D. Thesis, DEI.

[Rai93] Raizada, R. K., 1993 “The role of induction Furnaces in development of casting in

Pollution free atmosphere”, National seminar on Pollution control Measures,

Calcutta.

[Raj05] Rajinder,M., 2005, “Global oortunities for Indian foundry”, Indian foundry

Journal, 41-43.

[Ram03] Ramanujan, R., 2003, “Environmental Management system”, Indian Foundry

Journal, 26-30.

[Ram04] Ramadhas AS, Jayaraj S, Muraleedharan C, Use of Vegetable oils as I.C. Engine

fuels-a review, Renewable Energy 29 (2004) 727-742.

[Ran07] Rani Devi, Dahiya, R. P., K. Gadgil, Vijender Singh and Ashok Kumar, 2007,

“Assessment of the Temporal Variation of Ambient Air Quality in a Metropolitan

City”.

[Rao09] Rao, P., et al, 2009 “Computerized simulation of casting process” 57th Indian

foundry congress, The Institute of Indian Foundrymen, Kolkata.

[Rav06] Ravi B, G.L.Datta,2006,“cooperative virtual foundry for cost effective casting

simulation” 54th Indian foundry congress, pune.

[Rav07] Ravi, B., Joshi,D., 2007, “Feedability analysis and optimization driven by casting

simulation” Indian foundry journal, 53(6),71-78

[Rav08] Ravi, B., 2008, “Casting Simulation and optimization- Benefits and Best practices”

Indian foundry journal, 54(1), 47-52.

[Rav09a] Ravi, B., 2009, ‘Casting Simulation” Indian foundry journal, 55(4), 36-39.

[Rav09b] Ravi, B., 2009, “Innovate today for better tomorrow”, MMR events, 5 th 1 day

seminar on foundry industry , IIT Bombay .

[Ray01] Ray, A.C., 2001, “Sustainability of foundry industry in 21st century”, Indian

foundry Journal, 31-34.

[Ray03] Ray, T.K., 2003, “An overview of Air Prevention control Technology’ In Foundry”,

Indian Foundry Journal, 41-45 .

[Ray06] Ray, G.D., Dey, S., and Bhattacharyya, T.K., Design of variable structure

controller using fuzzy PI type sliding surface: an application to load-frequency

control problem. International Journal of Emerging Electric Power Systems: 7(4),

Article 5, 2006.

[Ree87] Reed, R. J., 1987, “Future consequences of compact, highly effective heat recovery

devices, in Heat Transfer in Furnaces”, C. Presser and D.G. Lilley, Eds., ASME

HTD, New York, 74, 23-28.

[Ree93] Reed, R., 1993, Pruning algorithms - A survey. IEEE Transactions on Neural

Networks, 4 (5), 740-747.

[Rei07] Reinhardt, G., et al., 2007, “Screening Life Cycle Assessment of Jatropha

Biodiesel”, Final Report, Institute for Energy and Environmental Research

Heidelberg, 56.

[Rei10] Reiety, J., 2010, “Myth V. Fact” Mechanical Engineering – (The Magazine of

ASME American Society of Mechanical Engineering), 133(1), 24-26.

Page 22: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

314

[Rip93] Ripley, B. D., 1993, “Statistical aspects of neural networks. In: Barndorff-Nielsen,

O.E., Jensen, J.L., Kendall, W.S. (Eds.), Networks and Chaos-Statistical and

Probabilistic Aspects”, Chapman and Hall, London, 40-123.

[Ris87] Rissanen, J., 1987, "Stochastic complexity (with discussion)", Journal of the Royal

Statistical Society, B, 49, 223-239 and 252-265.

[Rob04] Robert, B., 2004, “Installing refractories”, Foundry management and Technology,

15-17 .

[Roo02] Roodramoorthy, R., Arasu, M. et al., 2002, “Energy Conservation through

Effective Methodology in Iron Foundries uses optimum conditions”, Indian

Foundry Journal, 40-42.

[Roo10] Roohollah, N., et.al., 2010, “Uncertainty analysis of developed ANN and ANFIS

models in prediction of carbon monoxide daily concentration, ELSEVIER”,

International journal for scientists and researchers in different disciplines

interested in air pollution and its societal impacts, Atmospheric Environment, 44,

476-482.

[Rop90] Roper-Lowe, G. C., and Sharp, J. A., 1990, “The analytic hierarchy process and its

application to an information technology decision”, The Journal of the Operational

Research Society, 41(1), 49-59.

[Ros58] Rosenblatt, F., 1958, “The Perceptron: a probabilistic model for information

storage and organization in the brain”, Psychological Review, 65, 386–408,.

[Roy93] Roy, A., Kim, L.S., and Mukhopadhyay, S., 1993, A polynomial time algorithm for

the construction and training of a class of multilayer perceptrons. Neural

Networks 6, 535 -545

[Roy97] Roy, S., Ghosh S., and Shivpuri, R., 1997, “A new approach to optimal design of

multi-stage metal forming processes with micro genetic algorithms”, International

Journal of Machine Tools Manufact, 37(1), 29-44.

[Roy99] Roy, P.K., 1999, “Air Pollution control in Foundry industry”, Preceding of 47th

Indian foundry congress, Calcutta, 45-47.

[Rum86] Rumelhart, D.E., Hilton, G.E. and Willams, R.J., 1986, “Learning internal

representation by error propagation”, Parallel Distributed Processing, MIT Press,

Cambridge, 1, 318–362.

[Rut04] Rutkowski, L., 2004, "Artificial Intelligence and Soft Computing", ICAISC 2004,

7th In-ternational. Springer, Berlin Heidelberg New York.

[Saa01] Saaty, T. L., 2001, “Decision making in complex environments: the analytic

network process for decision making with dependence and feedback “, RWS

Publications, USA.

[Saa80] Saaty, T.L., 1980, “The analytic hierarchy process”, McGraw-Hill, New York.

[Saa88] Saaty, T. L., 1988, “Multi-criteria Decision Making: The Analytic Hierarchy

Process”, NY: McGraw-Hill Inc.

[Saa94] Saade, J.J. and Schwarzlander, H.,1994, "Application of Fuzzy Hypothesis testing

to signal detection under uncertainity", Fuzzy Sets and Systems, 62(1), 9–19.

[Sah03] Saha, S.K., 2003, “Environmental Management system”, Indian Foundry Journal,

31-33.

[Sah91] Sahajiwala,V., et al., 1991,“Modeling key cupola reactions–behavior of carbon,

silicon, and manganese”, Transactions of AFS, 99, 269-276.

[Sah92] Sahajiwala, V.,and Pehlke,R.D., 1992,“Experimental investigations and

mathematical modeling of carbon transport in a cupola” transactions of AFS, 100,

343-352.

Page 23: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

315

[Sam00] Samet, J.M., et al., 2000, “Fine particulate air pollution and mortality in 20 US

cities 1987 – 1994”, Nenge Journal, 343(6), 1742 – 1749

[San00] Sanjay Srivastava, 2000, “Modelling and Simulation of Metal forming process

through Soft Computing Techniques”, A Ph.D., Thesis, DEI, Agra.

[San03] Sanyal, M.K., 2003, “Zoning Atlas for sitting of industries”, Indian Foundry

Journal, 35-37.

[San87] Santhanam, K.R., and Sriniwasan, S., 1987, Current and future profile foundry

directory, The Institute of Indian Foundryman, Culcutta, India, 1 -29.

[San98] Sanyal, D., 1998, “Prospect of revival of foundry industry in Howrah”, Indian

foundry Journal, 105-108.

[Sar04] Sarkis, J., and Talluri, S., 2004, “Evaluating and selecting e-commerce software

and communication systems for a supply chain”, European Journal of Operational

Research, 159(2), 318-329.

[Sar05] Sarkar S.K., 2005, “Improving Environment- Role of Foundry industry in west

Bengal”, Indian foundry Journal, 39-41.

[Sar07] Sarkar, S.K., et al., 2007, “ improving environment – role of foundry industries in

west Bengal ” Indian foundry Journal, 53(8), 43-49.

[Sar14] Saravanan, V.S., 2014, “An Overview of Energy Saving Opportunities in

Foundries”, Indian Foundry Journal, 60(1), 23-29.

[Sat08] Saaty, Thomas L., 2008, “Relative Measurement and Its Generalization in

Decision Making Why Pairwise Comparisons are Central in Mathematics for the

Measurement of Intangible Factors, The Analytic Hierarchy/Network Process

RACSAM, Rev. R. Acad. Cien. Serie A. Mat., 102 (2), 251–318.

[Sau11] Saurabh, K.S., Malik, A.C.K., 2011, “A perception for energy conservation in

Indian Industries” 40-RAME 2011, 256-260.

[Sch04] Schifo, J.F., and Rusia, J.T., 2004, “Best Practice energy use in Metal Casting

Operations”, “U.S. Department of Energy”, 32-35.

[Sch05] Schaller, B., 2005, “A Regression Model of the Number of Taxicabs in U.S. Cities”,

Schaller Consulting, Journal of Public Transportation, 8(5), 63

[Sch10] Schneider, M., Serghini, A., and Akessier, 2010, “Physical modeling, simulation

and experimental investigations of core production process.” Project by German

Federal Ministry of Education and Research Report Foundry, 22(2), 45-52.

[Sei06] Seifeddine,S., M. Wéssen, M., Svensson,I.L., 2006, “Use of simulation to predict

microstructure and mechanical properties in an as-cast aluminium cylinder head

comparison - with experiments”, Metallurgical Science and Technology, 24(2), 26-

32.

[Sei83] Seidmann, A., and Arbel, A., 1983, “An analytic approach for planning

computerized office systems”, OMEGA, 11(6), 607-617.

[Sei84] Seidmann, A., and Arbel, A., 1984, “Microcomputer selection process for

organizational information management”, Information and Management, 7, 317-

329.

[Sek05] Seksaria, D.K., 2005, “The foundry industry in India status and scope”, Indian

foundry Journal, 41-43.

[Sel74] Selby, T.R., 1974, “Foundry Management & Technology”, Indian Foundry Journal,

102(9).

[Sem07] Semillon, S., and Array, B., 2007, “Coal without combustion” Mechanical

Engineering, 129(4), 30-31.

Page 24: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

316

[Ser85] Serafini, P., 1985, “Mathematics of Multiobjective Optimization”, CISM Courses

and Lectures. Springer-Verlag: Berlin, Vol.289.

[Ser92] Serafini, P., 1992, “Simulated annealing for multiple objective optimization

problems", In: Proceedings of the Tenth International Conference on Multiple

Criteria Decision Making, Taipei, 87–96.

[Ses97] Seshan, S., 1997, “Pollution in Foundries- need for pollution control in foundries”,

The Institution of Foundry men.

[Set06] Sethi, G., Jaboyedoff, P., Pal, P., and Joshi, V., 2006, “Towards Cleaner

Technologies: a process story in small-scale foundries”, The Energy and Resources

Institute, New Delhi, TERI Press, 102.

[Sev97] Sevilla, S., 1997, “Importance of input data normalization for the application

ofneural networks to complex industrial problems”, IEEE Transactions on Nuclear

Science, 44(3), 1464–1468.

[Sey95] Seymour, J., Dix, G. and Eardley, T. ,1995, “ Joint Accounts: methodology and

practice in research interviews with couples”, Social Policy Reports, No. 4, Social

Policy Research Unit, University of York, York.

[Sha06] Shao, X.Y., et al., 2006, “A web enabled collaborative QMS”, Journal of

manufacturing system, 13(4), 36-39.

[Sha07] Shah, P., 2007, “Recycling of Iron and Steel Scrap”, Foundry, 89-90.

[Sha08] Shah, J., 2008, “ Indian foundry industry –today and tomorrow”, Indian Foundry

Journal, 56(7), 83-87.

[Sha09] Shah, M.R., 2009, “Innovate today for better tomorrow”, MMR events, 5 th 1 day

seminar on foundry industry, IIT Bombay.

[Sha90] Sharda, R.,and Patil, R.B., 1990, Neural networks as forecasting experts: An

empirical test. In: Proceedings of the International Joint Conference on Neural

Networks. Washington, D.C., 2, 491-494

[Sha92] Sharda, R.,and Patil, R.B., 1992. Connectionist approach to time series prediction:

An empirical test. Journal of Intelligent Manufacturing 3, 317-323.

[Sha94] Sharda, R., 1994, “Neural networks for the MS/OR analyst”, An application

bibliography. Interfaces 24 (2), 116-130.

[Shi02] Shinn, Y.H., Kuang, C.L., Shih, S.C., and Shinn, J.H., 2002, “Accurate modeling

and prediction of surface roughness by computer vision in turning operations

using an adaptive neuro-fuzzy inference system”, International Journal of

Machine Tools and Manufacture, 42(13), 1441–1446

[Shi13] Shi, De Quan et al., 2013, “Review on Artificial Neural Network and its

Application in Foundry”, Applied Mechanics and Materials, 380-384, 2129

[Sib99] Sibson, J., 1999, “Environmental in Cast Metal industry”, Foundry Trade Journal,

91-99.

[Sie88] Sietsma, J.,and Dow, R., 1988, Neural net pruning-Why and how? In: Proceedings

of the IEEE International Conference on Neural Networks, 1, 325-333.

[Sik11] Sika, R. Ignaszak, Z.,2011, “ Data acquisition in modeling using neural networks

and decision trees”, ARCHIVES Of FOUNDRY ENGINEERING, 11(2), 113–122.

[Sil00] Silvert, W., 2000, "Fuzzy indices of environmental conditions”, Ecological

Modelling, 130(1-3), 111-119.

[Sim07] Simmons, B., 2007, “Ideas for metal treatment processes in iron foundries”, Indian

Foundry Journal, 53(4), 29-35.

[Sin00a] Singh, R., et al., 2000, “Economic Justification of Coke-less Cupola for Pollution

Page 25: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

317

Free Casting in Indian Environment with Special Reference to Agra”, Proc. of

IPC-National Conference on Industrial pollution and control.

[Sin00b] Singh, S.D., Biswas, D.K., 2000, “Cokeless Cupola- An efficient, economical

melting unit”, Indian Foundry Journal, 17-24.

[Sin01] Singh, R., et al., 2001, “Rotary Furnace an efficient Answer to pollution, Proc. of

National Conference on Energy and Environment”. Anand Engg. College, Agra.

[Sin03] Singh, R., et al., 2003, “Alternatives for Panacea to Ailing foundries in Agra”,

Indian Foundry Journal, 27-34 .

[Sin06] Singh, R., et al., 2006, “Rotary Furnace: Effect of Rotational Speed on Rate of

Melting, Fuel Consumption and Pollution”, Indian foundry Journal, 52 (2), 38-40.

[Sin07] Singh, R., Das, and Setia, R., 2007, “Parametric Modeling of a Rotary Furnace for

Agile Production of Castings with Artificial Neural Networks,” International

Journal of Agile Manufacturing, 10(2), 137–147.

[Sin08] Singh, K.K., Sinha, S.N.,and Singh, S.D, 2008,. “ fundamentals of design aspect of

gas fired cupola,” Indian Foundry Journal”, 54(8), 43-49.

[Sin08] Singh, R. N., et al., 2008, “SPERI experience on holistic approach to utilize all

parts of Jatropha curcas fruit for energy”, Renewable Energy, 33, 1868-1873.

[Sin08] Singh, S.D, and Vaish, A.K, 2008, “Cokeless cupola – an alternative melting unit”

Indian Foundry Journal, 54(8), 35-39.

[Sin09] Singh, Ranjit., Das Gurmukh, & Setia, Rajat, 2009, “Optimization of Rotary

Furnace Parameters using NGOT”, International Conference on Artificial

Intelligence and Pattern Recognition, 70 - 75

[Sin11] Singh, M. M., 2011, "Managing Executive Officer", Maruti Suzuki India Ltd.

Gurgaon, keynote speech at inaugural ceremony 59th Indian foundry congress, at

“Inderdhanus” auditorium in Panchkulla, Chandigarh.

[Sin98] Singh, S.D., et al., 1998, “Design and Development of Eco Friendly Cokeless

Cupola, Indian Foundry Journal, 70-76.

[Smi02] Smith, J.S., 2002, “Evolving a better solution”, Developers Network Journal.

[Spa00] Spada, A. T., 2000, “Identifying molding problems”, Modern casting USA, 34-37.

[Sri04] Srinivas, K., Patvardhan, C. and Bhagwan D.D., 2004, “An Evolutionary

Algorithm for optimization of deceptive and deceptive multi-nodal functional”,

Journal of The Institution of Engineers (India) 86,10-17.

[Sri05] Sri, N.M.N., 2005,“Technology development for SG Iron casting” “Indian Foundry

Journal”, 23-29.

[Sta12] Stawowy,A., Duda, J., 2012, “Models and Algorithms for Production Planning and

Scheduling in Foundries - Current State and Development Perspectives”, 12(2),

69-74.

[Sta96] Stam, A., Minghe, S., and Haines, M., 1996, “Artificial neural network

representations for hierarchical preference structure”, Computers and Operations

Research, 23 (12), 1191 – 1201.

[Sta99] Stanek,V., et al., 1999,"The AFS cupola process model- a computer tool for

foundries” modern casting, 41-43

[Sty91] Styblinski M.A., B.D. Meyer, 1991, "Signal flow graphs vs fuzzy cognitive maps in

application to qualitative circuit analysis", International Journal of Man-Machine

Studies, 15(2), 175–186.

[Sub06] Subodh, P., 2006, “Foundry resurgence in the new millennium”, Indian foundry

Journal, 57-58.

Page 26: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

318

[Sud11] Sudha, S. V.. 201, "A Neuro Fuzzy Technique for Process Grain Scheduling of

Parallel Jobs", Journal of Computer Science/15493636, 20110801,. Sci., 7: 1146-

1151.

[Sug88] Sugeno, M., and Kang, G.T., 1988, “Structure Identification of Fuzzy model”,

Fuzzy Sets and System, 28, 15-33.

[Sum02] Suman, B., 2002, “Multiobjective simulated annealing—a metaheuristic technique

for multiobjective optimization of a constrained problem”, Foundations of Comput

Decision Sci, 27: 171–191.

[Sum04a] Suman B., 2004a, “Study of Simulated annealing based multiobjective algorithm

for multiobjective optimization of a constrained problem”, Comput Chem Engin

28: 1849–1871.

[Sum05] Suman B. 2005, “Self-stopping PDMOSA and performance measure in simulated

annealing based multiobjective optimization algorithms”, Comput Chem Engin 29:

1131–1147.

[Sum06] Suman, B. and Kumar, P., 2006, "A survey of simulated annealing as a tool for

single and multiobjective optimization" , Journal of the Operational Research

Society, 57, 1143–1160,

[Sun99] Sunderam, G., 1999, “A Techno Economic Evaluation”, Indian foundry Journal,

23-27.

[Suz00] Suzuki, Y., (ed.), et. al., 2000, "Soft Computing in Industrial Applications”

Springer, Berlin, Heidelberg New York.

[Swa01] Swaroop, S., 2001, “Environmental management system in Foundry”, Indian

Foundry Journal, 47(1), 23-28.

[Taf06] Taft, R., 2006, “Cokeless Cupola for India”, Indian Foundry Journal, 52(2), 27-31.

[Taf07] Taft, R., 2007, ” Sharing experience on indias first gas fired cupola at Agra”,

Indian Foundry Journal, 53(3).

[Taf74] Taft, R.T., 1974,“The Coke less Cupola”, Foundry Trade Journal, 707.

[Tah03] Taha, H. A., 2003, Operations research, Pearson Education Inc, Fayetteville.

[Tak85] Takagi, T., and Sugeno, M., 1985, “Fuzzy Identification of Systems and its

Application to Modeling and Control”, IEEE Transaction on Systems, Man &

Cybernetics, 15, 116-132.

[Tak91] Takagi, and Hayashi, I.,1991, "NN driven fuzzy reasoning", Interantional Journal

of Approximate Reasoning, 5(3), 91–212.

[Tal11] Tallichi, O., TOYOTA corporation Japan, 2011, 10- TOYOTA production system-

beyond large scale production, Portland, OR productivity press.

[Tan05] Tang, Y., and Beynon, M.J., 2005, “Application and development of a fuzzy

analytic hierarchy process within a capital investment study”, Journal of

Economics and Management, 1(2): 207–230.

[Tan91] Tang, Z., Almeida, C., Fishwick, P.A., 1991, Time series forecasting using neural

networks vs Box-Jenkins methodology. Simulation 57 (5), 303-310.

[Tan93] Tang, Z.,and Fishwick, PA., 1993, Feedforward neural nets as models for time

series forecasting. ORSA Journal on Computing 5 (4), 374-385

[Tel00] Teltumbde, A., 2000, “A framework for evaluating ERP projects”, International

Journal of Production Research, 38(17), 4507-4520.

[TER02] TERI, 2002, New Delhi, "53-Report, 2002", Indian Foundry Journal.

[Ter84] Terano, T., Sugeno, M., and Tsukamoto, Y.,1984, "Ning in management by fuzzy

dynamic programming", In Sanchez (ed.) 381–386.

Page 27: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

319

[Tet01] Tettamanzi, A., and Tomassini, M., 2001, “Soft Computing”, Springer-Verlag

[Tho13] Thollander,P., Backlund, S., Trianni, A., and Cagno,E., 2013, “Beyond barriers -

A case study on driving forces for improved energy efficiency in the foundry

industries in Finland, France, Germany, Italy, Poland, Spain, and Sweden”,

Applied Energy, 111, 636-643.

[Thu07] Thukaram, D. and Yesuratnam, G., 2007, “Fuzzy expert approach with curtailed

controllers for improved reactive power dispatch”, International Journal of

Emerging Electric Power Systems, 8(3), Article 7.

[Tiw98] Tiwari, S.N., 1998, “On status of Indian foundry industry”, Indian foundry

Journal, 17-20.

[Tol05] Tolga, E. & Demircan, M. & Kahraman, C. 2005. “Operating system selection

using fuzzy replacement analysis and analytic hierarchy process”, International

Journal of Production Economics, 97, 89 – 117.

[Tri04a] Tri Mer corporation, 2004, “Scrubber offers Particle Removal”, Foundry

Management andTechnology, 17-19.

[Tri04b] Tri Mer corporation, 2004, “Environment health and Safety”, Foundry

Management and Technology, 75-76.

[Tri83] Trillas, E.C., Alsina, and Valverda, L., 1983, "On some logical connectives for

fuzzy set theory", Journal of Methematical Analysis and its Applications, 93, 15–

26 .

[Tsu79] Tsukamoto, Y., et al., 1979, “An Approach to Fuzzy Reasoning Method. Editors”,

Advances in Fuzzy Set Theory and Applications, North-Holland, Amsterdam, 137-

149.

[Tur10] Turner, A., 2010, “Energy efficiency in Agra foundries Technical Symposium”,

organized by process and product development centre PPDC, Ministry of MSME,

Govt. of India and IIF, Agra.

[Tze06] Tzeng, G.H., Chiang, C.H. & Li, C.W., 2006, "Evaluating intertwined effects in

e¬learning programs: A novel hybrid MCDM model based on factor analysis and

DEMATEL", Expert Systems with Applications, 40-61.

[UNI98] UNIDO Report Manual, JAPAN, 1998, “Energy Conservation in Iron Casting

Industry”, “Manual on Energy Conservation in Iron Casting Industry,

UNIDO,JAPAN” , 68-73.

[Upa09] Upadhyay, D.R., 2009, “Technical and commercial evaluation while developing a

new casting”, FOUNDRY, 21(4), 73-77.

[Vai06] Vaidya, O. S., and Kumar, S., 2006, “Analytic hierarchy process: an overview of

applications”, European Journal of Operational Research, 169, 1-29.

[Vai97] Vaitilingom, G., and Liennard, A., 1997, “Various vegetable oils as fuel for Diesel

and burners”, Jatropha curcas particularities. In: Gubitz, G. M., Mittelbach, M.,

and Trabi, M., editors, Biofuels and Industrial Products from Jatropha curcas,

Managua, Nicaragua.

[Var90] Vargas, L. G., 1990, “An overview of the analytic hierarchy process and its

applications”, European Journal of Operational Research, 48, 2-8.

[Var98] Varshneya, K.K., Bharat, T.C., 1998, “Energy Conservation in Induction furnace

Foundry Operation”, “Proceedings of 46th Indian Foundry Congress” IT Complex,

New Delhi, 335-341.

[Vas08] Vassilopoulos, A.P., and Bedi R., 2008, “Adaptive neuro-fuzzy inference system in

modelling fatigue life of multidirectional composite laminates”, Computational

Materials Science, 1086-1093

Page 28: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

320

[Ven02] Venugopalan, S., 2002, “Environmental Management system (EMS)”, Foundry,

Indian Foundry Journal, 27-30.

[Vic93] Vickers, J., 1993, - “Reducing defects in cast iron”, Modern casting.

[Vij08] Vijaya, R.T.R, 2008, “ Energy conservation methods in foundries” Indian foundry

journal, 54(7), 21-30

[Vis97] Viswanathan, N.N., Sriniwasan, M.N.,and Joshi A.K., 1997, “Societic Rationale

towards Cupola Design”, A transaction of American Foundryman’s Society”.

[Vya07] Vyas, D. K., and Singh, R.N., 2007, “Feasiblity study of Jatropha seed husk as an

open core gasifier feedstock”, Renewable Energy, 32, 512-517.

[Wad12] Rhythm Suren Wadhwa, 2012, “Flexibility in manufacturing automation: A living

lab case study of Norwegian metalcasting SMEs”, Journal of Manufacturing

Systems, 31(4), 444–454

[Wan06a] WANG DanMin LI HuaDe LI Qing, 2006, “STUDY ON QUALITY PREDICTION

MODEL AND CONTROL OF THE MECHANICAL PROPERTIES”, Journal of

Mechanical Strength, 06.

[Wan06b] Wang, T. C. and Chang, T. H., 2006, “Forecasting the probability of successful

knowledge management by consistent fuzzy preference relations”, Expert Systems

with Applications, 73-90.

[Wan92] Wang, L.X. and Mandel, J.M., 1992, "Generating fuzzy by learning through

examples", IEEE Transactions on Systems Man and Cybernetics, 22(6), 1414–

1427.

[Wan93] Wang, L.X. and Mandel, J.M.,1993, "Fuzzy adaptive filters, with non-linear

channel equalization", IEEE Transactions on Fuzzy Systems, 1(3), 161–170 .

[Wan93] Wang, L.X., 1993, "Stable adaptive fuzzy control to non-linear systems", IEEE

Transactions on Fuzzy Systems, 1(2), 146–155.

[Wan94] Wang, L.X., 1994, "Adaptive fuzzy systems and control: design and stability

analysis", Prentice Hall, Englewood Cliffs, NJ.

[Wan94a] Wang, S., 1994, "Generating fuzzy membership functions: A monotonic neural

network model", Fuzzy Sets and Systems, 61(1), 71–82.

[Wan94b] Wang, L.X., 1994, "Adaptive fuzzy systems and control: design and stability

analysis", Prentice Hall, Englewood Cliffs, NJ.

[Was89] Wasserman Philip, D., 1989, “Neural Computing: Theory and Practice”, Van

Nostrand Reinhold, New York.

[Was97] Wasvani. R.,1997, Indian foundry industry- Review, Presidential Lecture,

Proceeding of 45th Indian foundry congres, Foundry, 23-25.

[Wec97] Weck, M., et al., 1997., “Evaluating alternative production cycles using the

extended fuzzy AHP method”. European Journal of Operational Research, 100, (2),

351-366.

[Wei05] Wei, C., Chien, C. and Wang, M.J., 2005, “An AHP-based approach to ERP system

selection”, International Journal of Production Economics, 96(1), 47-62.

[Wei90] Weigend, A.S., Huberman, B.A., Rumelhart, D.E., 1990, “ Predicting the future: A

connectionist approach”, International Journal of Neural Systems 1, 193-209.

[Wei91] Weigend, A.S., Rumelhart, D.E., and Huberman, B.A., 1991, Generalization by

weight-elimination with application to forecasting. Advances in Neural

Information Processing Systems 3, 875882.

[Wei92] Weigend, A.S., Huberman, B.A., Rumelhart, D.E., 1992, “Predicting sunspots and

exchange rates with connectionist networks”, In: Casdagli, M., Eubank, S. (Eds.),

Page 29: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

321

Nonlinear Modeling and Forecasting. Addison-Wesley, Redwood City, CA, 395-

432.

[Wei93] Weigend, A.S., Gershenfeld, N.A., 1993, Time Series Prediction: Forecasting the

Future and Understanding the Past. Addison- Wesley, Reading, MA.

[Wer74] Werbos, P.J., 1974, “Beyond regression: new tools for prediction and analysis in

the behavioral sciences”, Ph.D. thesis, Harvard University.

[Wer88] Werbos, P.J., 1988, “Generalization of backpropagation with application to a

recurrent gas market model”, Neural Networks 1, 339–356.

[Whi89] White, H., 1989, “Learning in artificial neural networks: A statistical perspective”,

Neural Computation 1, 425 -464.

[Whi90] White, H., 1990, “Connectionist nonparametric regression: Multilayer feedforward

networks can learn arbitrary mappings,” Neural Networks, 3, 535-549.

[Wid60] Widrow, B. and Hoff, M.E., Jr., 1960, Adaptive Switching Circuits’, IRE Western

Electric Show and Convention Record, Part 4, 96–104.

[Wid94] Widrow, B., Rumelhart, D. E., Lehr, M.A., 1994, “Neural networks: Applications

in industry, business and science”, Communications of the ACM 37 (3), 93-105.

[Xia13] Xiao Yu Sun et al., 2013, “Application of Temperature Forecasting in Cupola

Melting Process Based on BP Neural Network”, Applied Mechanics and Materials,

364, 594-598.

[Yag77] Yager, R.R., 1977, Multiple objective decision making using fuzzy sets.

International Journal of Man–Machine Studies, 9, 375–382.

[Yag81] Yager, R.R., 1981, "Concepts, theory and techniques, A new methodology for

ordinal multiobjective decision based on fuzzy sets", Decision Science, 12, 589–

600.

[Yag88] Yager, R.R.,1988, "On ordered weighted averaging aggregation operators in

multicriteria decision making", IEEE transactions on Systems, Man and

Cybernetics, 18(1), 183–190.

[Yag91] Yager, R.R.,1991, "Connectives and quantifiers in fuzzy sets", Fuzzy Sets and

Systems, 40, 39–75.

[Yag96] Yager, R.R. and Kelman, A.,1996, "Fusion of fuzzy information with

considerations for compatibility, partial aggregation, and reinforcement",

International Journal of Approximate Reasoning, 15(2), 93–122.

[Yan04] Yang, C-Y, et al., 2004, “Relationship between air pollution and daily mortality in

a subtropical city of Taipei Taiwan”, Environment International, No. 4, 519-523.

[Yao03] Yaochu, J., 2003, “Advanced Fuzzy Systems Design and Applications”,

Physica/Springer, Heidelberg.

[Yao06] Yaochu J., (ed.), 2006, “Multi-Objective Machine Learning”, Springer, Berlin,

Heidelberg.

[Yeo00] Yeoman, M., 2000, “Foundry Energy Consumption Survey respect”,

“Foundryman”, 254-256.

[Yin02] Ying, M.,2002, "Implication operators in fuzzy logic", IEEE Transactions on Fuzzy

Systems, 10(1), 88–91.

[Yin09] Yin, L.C., Zhang, J., & Zhong, J., 2009, “Application of neural networks to predict

the elevated temperature flow behavior of a low alloy steel”, Journal of

Computational Materials Science

[Yip93] Yip, P.P.C., and Pao, Y.H., 1993, “A fast universal training algorithm for neural

networks,” Proc. World Congress on Neural Networks WCNN’93, Protland,

Page 30: References - Shodhgangashodhganga.inflibnet.ac.in/bitstream/10603/42326/... · technology, Organised by development commissioner for iron and steel Calcutta, [Ban95] Bandopadhyaya,

References

322

Oregon, 614-621.

[Yip94a] Yip, P.P.C., and Pao, Y. H., 1994, “A guided evolutionary technique as function

optimizer,” Proc. the First IEEE Conf. on Evolutionary Computation, Orlando,

Florida, 628-633.

[Yip94b] Yip, P.P.C., and Pao, Y.H., 1994 “Combinatorial optimization with use of guided

evolutionary simulated annealing,” IEEE Trans. Neural Network.

[You08] You,W., Liu, Y.X., Bai, B.Z., Fang, H.S., 2008, “RBF-type artificial neural network

model applied in alloy design of steels”, International Journal of Iron And Steel

Research, 15(2) 87-90.

[Yun07] Yunus A. Cengel, Robert H. Turner, 2007, "Fundamentals of Thermal-Fluid

Sciences", Ed. 3, McGraw-Hill.

[Yus99] Yusuf, Y.Y., Sarhadi, M., and Gunasekaran, A., 1999, “Agile Manufacturing: The

Drivers, Concepts and Attributes”, International Journal of Production Economics,

62, 33-43.

[Zad65] Zadeh, L. A., 1965, “Fuzzy Sets,” Information and Control, 8(3), 338-352.

[Zad75] Zadeh, L.A., 1975, "The concept of a linguistic variable and its application to

approximate reasoning", Part 1,2 and 3, Information Science, 8: 199–249, 8: 301–

357, 9: 43– 80.

[Zad83] Zadeh, L. A., 1983, “The Role of Fuzzy Logic in the Management of Uncertainty in

Expert System”, Fuzzy Sets and Systems, 11, 199 - 227.

[Zad94] Zadeh, L. A., 1994, “Fuzzy Logic, neural Network, and Soft Computing”,

Communications of the ACM 37 (33), 77 - 84.

[Zad95-

98]

Zadeh, L.A., 1995-1998, “Fuzzy Logic Toolbox User Guide”, The Math Works,

Berkeley, CA, Version 2.

[Zah85] Zahedi, F., 1985, “Data-base management system evaluation and selection

decisions”, Decision Sciences, 16, 91-116.

[Zah86] Zahedi, F., 1986, “The analytic hierarchy process - a survey of the method and its

applications”, Interfaces, 16(4), 96-108.

[Zah90] Zahedi, F., 1990, “A method for quantitative evaluation of expert systems”,

European Journal of Operational Research, 48, 136-147.

[Zhe01] Zheng, D., 2001, “A Neuro-Fuzzy Approach to Linguistic Knowledge Acquisition

and Assessment in Spatial Decision Making”, ITC dissertation number 81,

University of Vechta and ITC: 156.

[Zhu99] Zhu, K.J., Jing, Y., and Chang, D.Y., 1999, “A discussion on extent analysis

method and applications of fuzzy AHP”, European Journal of Operational

Research, 116, 450-456.

[Zim85] Zimmermann, H.J., 1985, “Fuzzy Set Theory and Its Applications”, Boston-

Dordrecht-Lancaster, Kluwer-Nijhoff Publishing.