Model Predictive Control in Semiconductor Supply Chain Operations

Karl Kempf (), Kirk Smith, Jay Schwartz and Martin Braun
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Karl Kempf: Intel Corporation

Chapter Chapter 16 in Planning Production and Inventories in the Extended Enterprise, 2011, pp 403-428 from Springer

Abstract: 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.

Keywords: Supply Chain; Forecast Error; Inventory Level; Model Predictive Control; Demand Forecast (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/978-1-4419-8191-2_16

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