Using simulation-based scheduling to maximize demand fulfillment in a semiconductor assembly facility

Juergen Potoradi, Ong Siong Boon, Scott J. Mason, John Fowler, Michele E. Pfund

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

27 Scopus citations

Abstract

This paper describes how a large number of products are scheduled to run in parallel on a pool of wire-bond machines to meet weekly demand. We seek to maximize demand fulfillment subject to system constraints. The schedule is generated by a simulation engine and used to control the machines at execution time and also to plan for the start of material. By using online data for equipment status and WIP availability, the schedule adapts to "unforeseen" changes on the shop floor after a simulation run. The frequently updated schedule redirects the line towards maximum demand fulfillment based on the latest status of the line.

Original languageEnglish (US)
Title of host publicationWinter Simulation Conference Proceedings
EditorsE. Yucesan, C.H. Chen, J.L. Snowdon, J.M. Charnes
Pages1857-1861
Number of pages5
Volume2
StatePublished - 2002
EventProceedings of the 2002 Winter Simulation Conference - San Diego, CA, United States
Duration: Dec 8 2002Dec 11 2002

Other

OtherProceedings of the 2002 Winter Simulation Conference
CountryUnited States
CitySan Diego, CA
Period12/8/0212/11/02

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality
  • Applied Mathematics
  • Modeling and Simulation

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  • Cite this

    Potoradi, J., Boon, O. S., Mason, S. J., Fowler, J., & Pfund, M. E. (2002). Using simulation-based scheduling to maximize demand fulfillment in a semiconductor assembly facility. In E. Yucesan, C. H. Chen, J. L. Snowdon, & J. M. Charnes (Eds.), Winter Simulation Conference Proceedings (Vol. 2, pp. 1857-1861)