Framework for execution level capacity allocation decisions for Assembly - Test facilities using integrated optimization - simulation models

Shrikant Jarugumilli, Mengying Fu, Naiping Keng, Chad DeJong, Ronald Askin, John Fowler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We present a framework for capacity allocation decisions for Assembly-Test (A-T) facilities that is comprised of an optimization model and a simulation model. The optimization and simulation models are used iteratively until a feasible and profitable capacity plan is generated. The models communicate using an automated feedback loop and at each iteration the model parameters are adjusted. We describe the role of the optimization model, the simulation model and the feedback loop. Once the capacity plan is generated, it is passed down to the shop-floor for implementation. Hence, decision makers can develop accurate and more profitable execution level capacity plans using the integrated model which utilizes both optimization and simulation models. In this paper, we focus on the optimization model for capacity planning for the entire A-T facility at the individual equipment (resource) level for a two-week planning period and briefly discuss the simulation and the adjustment model.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 Winter Simulation Conference, WSC 2008
Pages2292-2297
Number of pages6
DOIs
StatePublished - 2008
Event2008 Winter Simulation Conference, WSC 2008 - Miami, FL, United States
Duration: Dec 7 2008Dec 10 2008

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Other

Other2008 Winter Simulation Conference, WSC 2008
CountryUnited States
CityMiami, FL
Period12/7/0812/10/08

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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