presentation on simulation techniques!

8/18/2019 Presentation on Simulation Techniques!

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Presented To:

Presented By:

Simulation Techniques


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The technique of representing the real worldby a computer program

These techniques help out in incidents to safe

the cost, risk, and life These are the general rules for resolvingcomplex problems

These can help in these situations, to make

complex systems in easy format They are measure up with the accuratecomputer power

ntroduction


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!Simulation Techniques are very powerful for

getting more advantages in terms of timee"ectiveness, less risky, cost bene#ts, goalsachievements, follow the time lines, and moreimportant is to resolve complex systems to

easiness$%

Problem Statement


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Topic ntroductionBackground &istory'iterature (eview

)indings *onclusion(eferences+ppendices

Preview Statement


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Simulation techniques are very e"ective andhelpful

xamining the real and actual situation

-i"erent researchers, scholars, and scientist,but prefer less risky, less expensive, and lesstime taking process)or example, The .+S+ applies space shuttle

escape simulators+s computer is playing very essential part insimulation techniques

xplanation


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/ery enormous used in terms of quantitativetechniques

t is very 0exible, plus can a"ord so manypositive results)or example it used in :

drilling pro1ectsvaluating environmental e"ects

#xing the stock levelsforecasting the salesplanning aircraft sortiesdi"erent ship movement and military exercise

Simulation +pplications


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experiments are performing on real system,instead of real system by itself Because it works with faster, cheaper, and saferway to actionSimulations could be executed applying physicalmodels, like as relative model of and any airplane2athematical model for the real system

There is need of di"erent variables to presentmain numerical measurement3sed di"erent formulasprogramming statements

Simulation 2odels


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*omplex manufacturing and di"erent logisticsprocessing systems)requently demand for various discrete case

Special simulation modeling-esign languages are frequently applied inthese valuable applications)or xample: 2onte *arlo 2ethod

Simulation 2ethods


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2ain simulation techniquexercise random numbers

+pply in business and di"erent industries The main steps involves in 2onte *arlo 2ethod areas following:

make list of all possible result#nds the chances of occurrencemakes a setup of communication

selects any numbers for the columns of tablesperforms again the experiment, 4 tallies all the resultscalculates any statistical data, and explains theconclusions

2onte *arlo 2ethod


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&istory of simulation could be composed in di"erentangles

application of simulation in analysis, research, and training-i"erent types of simulation models

discrete5eventcombined5discrete5continuous eventscombined eventscontinuous event

These simulation techniques start from mid of the 67 th

century#rst simulation game was produced in 6789*omputer simulation history starts from orld ar

Background


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Simulation Techniques Process


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Pros:always give positive and e"ective resultsgreat forecasting strength, but very goodtheoretical background is neededready to answer to so many questionscan be applied to build new modelcost e"ective approachvery unique and innovativeresult can be obtained on time

)indings


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*ons:does not work without good theories knowledgebackgroundnot yet standardi;ed approachcan challenge to validate the resultsin the eyes of some researcher it has pro likehigh skepticismit has some political implications

)indings *ont$ $ $ $ $


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+s most of the research 1ournal shows positiverelationship of simulation techniques

n the light of these facts:Simulation Techniques are the best tools to be cost e"ective

time e


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+bbas$ >?@6A, .ovember 2onday $ &ow Simulation Techniques &elp 3sC >2$ D$ &akson, nterviewer+labdulkarim, +$, Ball, P$, 4 Tiwari, +$ >?@6E $ +pplications of Simulation in maintenance research$World Journal of Modeling and Simulation , 9 >6 , 685E9$Brien, 2$, 4 )oouche, -$ >?@@A $ Simulation of E- 'aser (adar Systems$ Lincoln Laboratory Journal , 15 >6 , E95F@$)u, 2$ >?@@? $ Gptimi;ation for Simulaton: Theory vs$ Practice$ Informs Journal on Computing , 14 >E ,67?5?6A$&arrison, D$, *arroll, H$, 4 *arley, I$ >?@@9 $ Simulation 2odelling in Grgani;ation +nd 2anagment(esearch$ cademy of Management !e"ie# , $% >8 , 6??756?8A$Ilei1nen, D$ >677A $ /eri#cation and /alidation of Simulation 2odels$ &uropean Journal of 'perational!esearc( , )% >6 , 68A56F?$'1ubenkove, B$, 4 Iu;manic, 2$ >?@@J $ Simulation 2ethods in Shipbuilding Process -esign$ Journal ofMec(anical &ngineering , II >A8 , 6E656E7$2artine;, D$, Pedreia, *$, son, 2$, 4 Kuiroga, ($ >?@@7 $ (ealistic Simulation of xtracellular (ecordings$

Journal of *euroscience Met(ods >6J8 , ?JA5?7E$(ahman, +$, Lella, S$, 4 -ougherty, 2$ >?@68 $ 2odeling +nd Simulation 2ethods )or -esign Gf

.gineering Systems$ Journal of Intelligent Systems and pplications , ?65E8$Schat;mann, D$, eilhammer, I$, Stuttle, 2$, 4 Loung, S$ >?@@F $ + Survey of Statistical 3ser Simulation

Techniques for (einforcement5'earning of -ialouge 2anagment Strategies$ +(e no#ledge &ngineering!e"ie# , 65?8$

alkley, 2$, 4 al, e$ >?@@8 $ Simulation 2odelling Towards 5Business 2odels -evelopment$International Journal -or *umerical Met(ods In -luids , 65F$

(eferences


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