5 Scopus citations

Abstract

This paper demonstrates how an integer programming-based real-time scheduling heuristic approach can be applied for semi-conductor manufacturing. Two integer programming formulations of a simplified version of this problem are proposed to model (1) a full-enumeration scheduling problem which minimizes the makespan (Cmax), and (2) a real-time scheduling problem which simply maximizes job assignments at the current state. The real-time scheduler's overall effectiveness in terms of solution quality and run time is evaluated through computer experiments. The real time scheduler is based on an iterative procedure to calculate the makespan, where a simulator is developed to read the integer programming output and to update the job and machine information at each state. The experimental study shows how a well-defined integer programming-based real-time scheduling heuristic can generate a near-optimal solution.

Original languageEnglish (US)
Title of host publicationProceedings of the 2009 Winter Simulation Conference, WSC 2009
Pages1657-1666
Number of pages10
DOIs
StatePublished - Dec 1 2009
Event2009 Winter Simulation Conference, WSC 2009 - Austin, TX, United States
Duration: Dec 13 2009Dec 16 2009

Publication series

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

Other

Other2009 Winter Simulation Conference, WSC 2009
CountryUnited States
CityAustin, TX
Period12/13/0912/16/09

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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    Ham, M., Lee, Y. H., & Fowler, J. (2009). Integer programming-based real-time scheduler in semiconductor manufacturing. In Proceedings of the 2009 Winter Simulation Conference, WSC 2009 (pp. 1657-1666). [5429175] (Proceedings - Winter Simulation Conference). https://doi.org/10.1109/WSC.2009.5429175