Using simulation and multi-criteria methods to provide robust solutions to dispatching problems in a flow shop with multiple processors

Yiyo Kuo, Taho Yang, Chiwoon Cho, Yao Ching Tseng

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

Dispatching rules are important to the performance of a manufacturing system. Selective applications of different priority rules at different processing stages in a multiple workstation manufacturing system have a positive impact on shop performance. This type of problem is a combinatorial dispatching decision. However, no dispatching rule can consistently produce better performance than all other rules under a variety of operating conditions and criteria. It is the purpose of this study to provide a robust solution for a dispatching decision that will have 'good' performance under different operating scenarios. In this paper a simulation case of a flow shop with multiple processors is proposed, specifically a multi-layer ceramic capacitor manufacturing system. Two multiple criteria decision-making methods - techniques for order preference by similarity to ideal solution (TOPSIS) and an analytic hierarchy process (AHP) - in combination with Taguchi orthogonal array are used to find the most suitable dispatching rule for every workstation. The results show that for 15 production scenarios and 4 criteria this combinatorial dispatching rule is robust, in the sense that it outperforms other commonly employed strategies.

Original languageEnglish
Pages (from-to)40-56
Number of pages17
JournalMathematics and Computers in Simulation
Volume78
Issue number1
DOIs
Publication statusPublished - 2008 Jun 1

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)
  • Numerical Analysis
  • Modelling and Simulation
  • Applied Mathematics

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