paper 395

7/23/2019 Paper 395

http://slidepdf.com/reader/full/paper-395 1/4

APJEM

ArthPrabhand: A Journal of Economics and Management

Vol. 4 Issue 3 March 2015, ISSN 2278-0629, pp. 134-150

J

h t t p : / / w w w . p

r j . c o . i n

Engineering Design Requirements Ranking in Qfd by Fuzzy Data

Envelopment Analysis

Mohammad Molani Aghdam*,Mostafa Jafarian Jelodar**, Iraj Mahdavi***

*Department of Industrial Engineering, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran

** Department of Industrial Engineering, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran

***Department of Industrial Engineering, Mazandaran University of Science and Technology,Babol, Iran

Abstract

Quality function deployment (QFD) is a product development technique thattranslates customer requirements into activities for the development of products and

services. From the viewpoint of QFDs designers, product design processes are performed in uncertain environments, and usually more than one goal must be taken

into account. Therefore, when dealing with the fuzzy nature in QFD processes, fuzzy

approaches are applied to formulate the relationships between customer

requirements (CRs) and engineering design requirements (DRs). However littleacademic work exists on methodologies for deriving the relative importance of DRs

When several additional factors (cost and environmental impact) are considered.

DEA provides a general framework facilitating QFD computations when more

factors need to be considered. In this paper, the fuzzy data envelopment analysis

aims to rank DRs to maximize the customer satisfaction. Finally, the applicability ofthe proposed models in practice is demonstrated with a numerical example.

Keywords: Quality function deployment, Customer Requirements, Design

Requirements, Fuzzy Data Envelopment Analysis.

___________________________________________________________________

7. References

Aguwa, C., C, Monplaisir, L &Turgut, O., (2012), Voice of the customer: Customer satisfactionratio based analysis, Expert Systems with Applications, 39 , 10112 – 10119.

Akao, Y., (1990), Quality function deployment: Integrating customer requirements into product

design, Cambridge, MA: Productivity Press.

7/23/2019 Paper 395


APJEM



J

h t t p : / / w w w . p

r j . c o . i n

Azadi, M &Saen, R., F., (2013), A combination of QFD and imprecise DEA with enhanced

Russell graph measure: A case study in healthcare, Socio-Economic Planning Sciences, 47, 281-

291.

Bas, E., (2014), An integrated quality function deployment and capital budgeting methodology

for occupational safety and health as a systems thinking approach: The case of the construction

industry, Accident Analysis and Prevention, 68, 42 – 56.

Bhattacharya, A., Sarkar, B & Mukherjee, S.K., (2005), Integrating AHP with QFD for robot

selection under requirement perspective, International Journal of Production Research, 43: (17),3671-3685.

Chan, L., K & Wu, M., L., (2002), Quality function deployment: a literature review, European

Journal of Operational Research, 143, 463 – 497.

Charnes, A., Cooper, W.W & Rhodes, E., (1978), Measuring the efficiency of decision making

units, European Journal of Operation Research, 2, 429-444.

Cooper, W.W., Seiford, L.M & Tone, K., (2006), Introduction to data envelopment analysis and

its uses with DEA-solver software and references, New York: Springer.

Delice, E.K &Gungor, Z., (2009), A new mixed integer linear programming model for product

development using quality function deployment, Computers & Industrial Engineering, 57, 906 – 912.

Despotis, D.K &Smirlis, Y.G., (2002), Data envelopment analysis with imprecise data, European

Journal of Operation Research, 140, 24-36.

Geum, Y., Kwak, R & Park, Y., (2012), Modularizing services: A modified HoQ approach,

Computers & Industrial Engineering, 62, 579–590.

Golany, B & Roll, Y., (1989), An application procedure for DEA, Omega, 17: (3), 237 – 50.

Hwang, C &Masud, A., (1979), Multiple objective decision making-methods and applications: a

state-of-the-art survey, Springer, Berlin.

Kao, C & Liu, S.T., (2000), Fuzzy efficiency measures in data envelopment analysis, Fuzzy Sets

System, 113, 427-437.

Kim, D., (2010), An integrated framework of HoQ and AHP for the QOE improvement of

network-based ASP services, Ann. Telecommun, 65:19 – 29.

7/23/2019 Paper 395


APJEM



J

h t t p : / / w w w . p

r j . c o . i n

Lertworasirikul, S., Fang, S-C., Joines, J.A &Nuttle, H.L.W., (2003), Fuzzy data envelopment

analysis (DEA): A possibility approach, Fuzzy Sets System, 139, 379-394.

Liu, H.T., (2009), The extension of fuzzy QFD: From product planning to part deployment,

Expert Systems with Applications, 36: (8), 11131–11144.

Marbini, A.H., Emrouznejad, A &Tavana, M., (2011), A taxonomy and review of the fuzzy dataenvelopment analysis literature: two decades in the making, European Journal of Operation

Research, 214: (3), 457 – 472.

Mirhedayatian, M., Jelodar, M.J., Adnani, A, M &Saen, R.F., (2013), A new approach for prioritization in fuzzy AHP with an application for selecting the best tunnel ventilation system,

International Journal Advance Manufacturing Technology, 68, 2589 – 2599.

Partovi, F.Y &Corredoira, R.A., (2002), Quality function deployment for the good of soccer,

European Journal of Operation Research, 137, 642–656.

Prasad, B., (1998), Review of QFD and related deployment techniques, Journal of

Manufacturing Systems, 17: (3), 221 – 234.

Ramanathan R., (2003), An introduction to data envelopment analysis: a tool for performance

measurement. New Delhi: Sage.

Ramanathan, R., (2006), Data envelopment analysis for weight derivation and aggregation in the

analytic hierarchy process, Computer and Operation Research, 33: (5), 1289 – 1307.

Ramanathan, R &Yunfeng, J., (2009), Incorporating cost and environmental factors in quality

function deployment using data envelopment analysis, Omega, 37: (3), 711-23.

Ramik, J &Korviny, P., (2010), Inconsistency of pair-wise comparison matrix with fuzzyelements based on geometric mean, Fuzzy Sets and systems, 161: (11),1604 – 1613.

Revelle, J., Moran, J & Cox, C.A., (1998), The QFD handbook, Wiley Press.

Su, C.T & Lin, C.S., (2008), A case study on the application of fuzzy QFD in TRIZ for service

quality improvement, Quality Quant, 42: (5), 563 – 578.

Tang, J., Fung, F.Y.K., Xu, B & Wang, D., (2002), A new approach to quality function

deployment planning with financial consideration, Computers & Operations Research, 29: (2),

1447 – 63.

Tone, K., (2001), A slacks-based measure of efficiency in data envelopment analysis, European

Journal of Operation Research,130: (3), 498 – 509.

7/23/2019 Paper 395


APJEM



J

h t t p : / / w w w . p

r j . c o . i n

Wang, Y.M., Luo, Y & Liang, L., (2009), Fuzzy data envelopment analysis based upon fuzzy

arithmetic with an application to performance assessment of manufacturing enterprises, Expert

Systems with Applications, 36, 5205–5211.

Wang, Y.M & Chin, K.S., (2011), Technical importance ratings in fuzzy QFD by integrating

fuzzy normalization and fuzzy weighted average, Computers and Mathematics with

Applications, 62, 4207 – 4221.

Wen, M & Li, H., (2009), Fuzzy data envelopment analysis (DEA): Model and ranking method,

Journal of Computational and Applied Mathematics, 223, 872 – 878.

Yang, Y.Q., Wang, S.Q., Dulaimi, M & Low, S.P., (2003), A fuzzy quality function deployment

system for buildable design decision-makings, Automation in Construction, 12: (4), 381 – 393.

Zadeh, L.A., (1975), The concept of a linguistic variable and its application to approximatereasoning, Part 1, Information Science 8, 199-249, Part 2, Information Science 8, 301-353, Part

3, Information Science 9, 43-80.

Zadeh, L.A., (1978), Fuzzy set as the basis for the theory of possibility, Fuzzy Sets and Systems

1, 3-28.

Zaim, S., Sevkli, M &Hatice, C-A., Demirel, O.F., Yayla, A.Y., &Delen, D., (2014), Use ofANP weighted crisp and fuzzy QFD for product development, Expert Systems with

Applications, 41, 2014, 4464 – 4474.

Zimmermann, H.J., (1996), Fuzzy set theory and its application, 3rd edition, Kluwer AcademicPublishers.

paper 395

Documents