An evolutionary-simulation approach for the optimization of multi-constant work-in-process strategy-A case study

Taho Yang, Hsin Pin Fu, Kuang Yi Yang

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

This research addressed an evolutionary-simulation optimization approach in solving a multi-constant work-in-process (multi-CONWIP) pull strategy problem. A case study is adopted to illustrate the performance of the applied methodology. Both the single-loop CONWIP and the just-in-time (JIT) control strategies are a special case of the proposed multi-CONWIP strategy. Empirical results showed that the proposed multi-CONWIP strategy outperformed the single-loop CONWIP and JIT for the case study problem. In general, the proposed methodology was effective and robust for the proposed problem. However, computational complexity existed for some instances; and these computational efficiency problems are addressed as potential future research opportunities.

Original languageEnglish
Pages (from-to)104-114
Number of pages11
JournalInternational Journal of Production Economics
Volume107
Issue number1
DOIs
Publication statusPublished - 2007 May 1

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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