A quadratic goal programming model and sensitivity analysis for semiconductor supply chain

David Chiang, Ruey Shan Guo, Argon Chen, Cheng Bang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As semiconductor supply chain becomes widespread and the competition pressure is very fierce, the detrimental effects of increasing varieties and variations are magnified in the supply chain. Conventional modeling techniques are no longer effective for supply chain configuration. Therefore, we first build up the empirical model to describe the relationship between supply-chain configuration and metrics under the influence of the variability sources. Secondly, an optimal supply chain configuration model is formulated as a quadratic goal programming model to accommodate different goal objectives. Finally, an efficient sensitivity analysis methodology is developed to find out the range of feasibility. Our results show that our proposed model can easily be adapted to the practices in semiconductor supply chain.

Original languageEnglish (US)
Title of host publicationISSM 2006 Conference Proceedings - Fifteenth International Symposium on Semiconductor Manufacturing
Pages299-302
Number of pages4
DOIs
StatePublished - 2006
Externally publishedYes
EventISSM 2006 - 15th International Symposium on Semiconductor Manufacturing - Tokyo, Japan
Duration: Sep 25 2007Sep 27 2007

Publication series

NameIEEE International Symposium on Semiconductor Manufacturing Conference Proceedings
ISSN (Print)1523-553X

Conference

ConferenceISSM 2006 - 15th International Symposium on Semiconductor Manufacturing
Country/TerritoryJapan
CityTokyo
Period9/25/079/27/07

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Engineering(all)
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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