Analytic network process (ANP) approach for product mix planning in semiconductor fabricator

Analytic network process (ANP) approach for product mix planning in semiconductor fabricator This paper proposes an application of the analytic network process (ANP) for the selection of product mix for efficient manufacturing in a semiconductor fabricator. In order to evaluate different product mixes, a hierarchical network model based on various factors and the interactions of factors is presented. By incorporating experts’ opinion, a priority index can be calculated for each product mix studied, and a performance ranking of product mixes can be generated. The results provide guidance to a fab regarding strategies for accepting orders to maximize the manufacturing efficiency in considering the aspects of product, equipment efficiency and finance. The model can be easily understood and followed by administrators to determine the most efficient product mix for a fab. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Production Economics Elsevier

Analytic network process (ANP) approach for product mix planning in semiconductor fabricator

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Publisher
Elsevier
Copyright
Copyright © 2004 Elsevier B.V.
ISSN
0925-5273
eISSN
1873-7579
DOI
10.1016/j.ijpe.2004.02.006
Publisher site
See Article on Publisher Site

Abstract

This paper proposes an application of the analytic network process (ANP) for the selection of product mix for efficient manufacturing in a semiconductor fabricator. In order to evaluate different product mixes, a hierarchical network model based on various factors and the interactions of factors is presented. By incorporating experts’ opinion, a priority index can be calculated for each product mix studied, and a performance ranking of product mixes can be generated. The results provide guidance to a fab regarding strategies for accepting orders to maximize the manufacturing efficiency in considering the aspects of product, equipment efficiency and finance. The model can be easily understood and followed by administrators to determine the most efficient product mix for a fab.

Journal

International Journal of Production EconomicsElsevier

Published: Apr 18, 2005

References

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