Using Taguchi design, regression analysis and simulation to study maintenance float systems

Michael N. Chanin, Chinho Lin, Chu Hua Kuei

研究成果: Article同行評審

17 引文 斯高帕斯(Scopus)

摘要

This paper proposes a new strategic approach for the maintenance float decision models. This new approach incorporates Taguchi experimental design, Taguchi's ANOVA procedure and regression analysis. Taguchi experimental design is used to generate the input variables into the simulation program. The results are analysed using Taguchi's ANOVA procedure. Input variables found significant are subsequently applied in a regression model. Predictor models for the system utilization are developed and their validity tested. Cost oriented decision models are further developed to show the applicability of our models to decision situations. The major advantage of the strategic approach proposed here is that it saves time and reduces the cost of running simulation. This approach will also offer a decision support and improve the effectiveness of maintenance float decisions.

原文English
頁(從 - 到)1939-1953
頁數15
期刊International Journal of Production Research
28
發行號11
DOIs
出版狀態Published - 1990 十一月

All Science Journal Classification (ASJC) codes

  • 策略與管理
  • 管理科學與經營研究
  • 工業與製造工程

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