Experimental design and regression analysis in simulation: An automated flowline case study

Chinho Lin, Christian N. Madu, Chu Hua Kuei

研究成果: Article同行評審

6 引文 斯高帕斯(Scopus)

摘要

This paper uses an experimental design and regression metamodels to evaluate the relationships between the throughput of an automated flowline and other system parameters such as the number of machines in the flowline, machine processing times, capacity of the buffer, mean time between failure, and the mean time to repair. The Taguchi approach is used in the experimental design. Sixteen simulation runs are generated to test the significance of the main effects and the two-factor interactions. Consequently, Kleijnen's regression metamodel approach is used to develop predictor models for the automated flowline throughput. Finally, a decision model is formulated to determine the optimum design level of each factor.

原文English
頁(從 - 到)845-861
頁數17
期刊Microelectronics Reliability
34
發行號5
DOIs
出版狀態Published - 1994 五月

All Science Journal Classification (ASJC) codes

  • 電子、光磁材料
  • 原子與分子物理與光學
  • 安全、風險、可靠性和品質
  • 凝聚態物理學
  • 表面、塗料和薄膜
  • 電氣與電子工程

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