Title

The Comparison Of Response Surface And Taguchi Methods For Multiple-Response Optimization Using Simulation

Abstract

Stabistical methods such as response surface methods and the robust design methods of Taguchi are commonly used to optimize manufacturing processes. This optimization can include design centering and reducing the effects of input variability on the output. Both methods can also be applied to computer simulation experiments, which can be done with substantial time and money savings compared to conducting experiments in the manufacturing environment. In this work, response surface and Taguchi methods are applied to the simulated multiple-response optimization of a production semiconductor manufacturing process and the results compared. Both methods use outer experimental arrays in order to simulate the impact of input variations on the response. Desirability functions and their expected loss functions are used in conjunction with RSM in the first part of the analysis. The seccond analysis involves applying the robust design methods of Taguchi with modification for multiple-response optimization.

Publication Date

1-1-1992

Publication Title

13th IEEE/CHMT International Electronics Manufacturing Technology Symposium - Integrated Manufacturing: The Future Is Now, IEMT 1992

Number of Pages

15-18

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/IEMT.1992.639855

Socpus ID

84904814490 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84904814490

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