NDLI: Stochastic optimization applied to a manufacturing system operation problem

Content Provider	IEEE Xplore Digital Library
Author	Brennan, R.W. Rogers, P.
Copyright Year	1995
Description	Author affiliation: Dept. of Mech. Eng., Calgary Univ., Alta., Canada (Brennan, R.W.; Rogers, P.)
Abstract	This paper deals with stochastic optimization of a discrete-event simulation model for the solution of a manufacturing system operation problem. Gradient estimates are obtained by the application of the infinitesimal perturbation analysis (IPA) technique. We begin with background material on stochastic approximation (SA) and the IPA technique, their potential value in finding optimal solutions to manufacturing system operation problems, and limitations concerning their applicability. Next we present our attempt to solve a real problem (the design of a partially-automated assembly line in an electronics manufacturing facility) using this approach. A sequence of models is described moving from one which embodies some restrictive assumptions through to models which more closely approximate the real system. All of the models are implemented in the SIMAN IV simulation language incorporating user-written code (written in C++) implementing the SA and IPA algorithms. We report and interpret the results obtained with the different models and close with concluding remarks on the current value of this technique in solving this kind of system design problem.
Starting Page	857
Ending Page	864
File Size	714174
Page Count	8
File Format	PDF
ISBN	0780330188
DOI	10.1109/WSC.1995.478870
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-12-03
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic systems Manufacturing systems Assembly Throughput Personnel Virtual manufacturing Sensitivity analysis Mechanical engineering Drives Discrete event simulation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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