Supply chain and distribution network: semiconductor supply network simulation

  • Authors:
  • Gary W. Godding;Hessam S. Sarjoughian;Karl G. Kempf

  • Affiliations:
  • Intel Corporation, Chandler, AZ;Arizona State University, Tempe, AZ;Intel Corporation, Chandler, AZ

  • Venue:
  • Proceedings of the 35th conference on Winter simulation: driving innovation
  • Year:
  • 2003

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Abstract

More efficient and effective control of supply networks is conservatively worth billions of dollars to the national and world economy. Developing improved control requires simulation of physical flows of materials involved and decision policies governing these flows. This paper describes our initial work on modeling each of these flows as well as simulating their integration through the synchronized interchange of data. We show the level of abstraction that is appropriate, formulate and test a representative model, and describe our findings and conclusions.