Dynamic rescheduling of a job shop: a simulation study

Authors:
Anand S. Kunnathur;Sriram Sampath;P. S. Sundararagharan
Affiliations:
ISOM Department, The University of Toledo, Toledo, OH;Cap Gemini America, 25800 Science Park Drive, Suite 180, Beachwood, OH;ISOM Department, The University of Toledo, Toledo, OH
Venue:
WSC '96 Proceedings of the 28th conference on Winter simulation
Year:
1996

Citing 1
Cited 2

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High-fidelity simulation of integrated single-wafer processing tools for evaluation of scheduling algorithms

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Abstract

The development of a rule based Expert System (ES), driven by a discrete event simulation model, that performs dynamic shop scheduling is described. Based on a flowtime prediction heuristic that we have developed and base-line runs to establish the efficacy of scheduling strategies such as SPT, Critical Ratio, Total Work etc, a re-scheduling based dispatching strategy is investigated in a dynamic job shop environment. The results are discussed and analyzed.