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

Chinho Lin, Christian N. Madu, Chu Hua Kuei

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)845-861
Number of pages17
JournalMicroelectronics Reliability
Issue number5
Publication statusPublished - 1994 May

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Safety, Risk, Reliability and Quality
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Electrical and Electronic Engineering


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