The use of a grey-based Taguchi method for optimizing multi-response simulation problems

Yiyo Kuo, Taho Yang, Guan Wei Huang

研究成果: Article同行評審

109 引文 斯高帕斯(Scopus)

摘要

Simulation modelling is a widely accepted tool in system design and analysis, particularly when the system or environment has stochastic and nonlinear behaviour. However, it does not provide a method for optimization. In general, problems contain more than one response, which are often in conflict with each other. This article proposes a grey-based Taguchi method to solve the multi-response simulation problem. The grey-based Taguchi method is based on the optimizing procedure of the Taguchi method, and adopts grey relational analysis (GRA) to transfer multi-response problems into single-response problems. A practical case study from an integrated-circuit packaging company illustrates that differences in performance of the proposed grey-based Taguchi method and other methods found in the literature were not significant. The grey-based Taguchi method thus provides a new option when solving a multi-response simulation-optimization problem.

原文English
頁(從 - 到)517-528
頁數12
期刊Engineering Optimization
40
發行號6
DOIs
出版狀態Published - 2008 六月

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 控制和優化
  • 管理科學與經營研究
  • 工業與製造工程
  • 應用數學

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