Model Predictive Control in Semiconductor Supply Chain Operations

  • Karl Kempf
  • Kirk Smith
  • Jay Schwartz
  • Martin Braun
Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 152)

Abstract

Maintaining agility in a multi-echelon multi-product multi-geography supply chain with long and variable manufacturing lead times, stochastic product yields, and uncertain demand is a difficult goal to achieve. The approach advocated here is based on a practical application of control theory that includes a model of the system being controlled, feedback from previous results, feed-forward based on demand forecasts, and optimization of both the financial results and the control actions applied to achieve them. This Model Predictive Control (MPC) approach has been employed in the continuous-flow process industry for many years, and has been independently suggested for supply chains by a number of academic research teams. This chapter describes a large-scale application of the approach in the semiconductor industry.

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Copyright information

© Springer New York 2011

Authors and Affiliations

  • Karl Kempf
    • 1
  • Kirk Smith
  • Jay Schwartz
  • Martin Braun
  1. 1.Decision Technologies GroupIntel CorporationChandlerUSA

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