A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty

Wenlin Wang; Daniel Rivera; Karl G. Kempf; Kirk D. Smith

doi:10.1109/ACC.2004.182673

A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty

Wenlin Wang, Daniel Rivera, Karl G. Kempf, Kirk D. Smith

Chemical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Scopus citations

Abstract

Model Predictive Control (MPC) is presented as a tactical decision module for supply chain management in semiconductor manufacturing. A representative problem which includes distinguishing features of semiconductor manufacturing supply chains, such as material reconfiguration and stochastic product splits, is examined. Fluid analogies are used to model the supply chain dynamics, with stochasticity and nonlinearity occurring on the throughput time, yield and customer demand. Given inventory targets and capacity limits, MPC using linear time invariant models can make the system outputs track the targets and improve customer service levels. The flexibility provided by the choice of tuning parameters in MPC to achieve better performance and robustness in semiconductor manufacturing supply chain management is demonstrated.

Original language	English (US)
Title of host publication	Proceedings of the 2004 American Control Conference (AAC)
Pages	4577-4582
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2004.182673
State	Published - 2004
Event	Proceedings of the 2004 American Control Conference (AAC) - Boston, MA, United States Duration: Jun 30 2004 → Jul 2 2004

Publication series

Name	Proceedings of the American Control Conference
Volume	5
ISSN (Print)	0743-1619

Other

Other	Proceedings of the 2004 American Control Conference (AAC)
Country/Territory	United States
City	Boston, MA
Period	6/30/04 → 7/2/04

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2004.182673

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A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty. / Wang, Wenlin; Rivera, Daniel; Kempf, Karl G. et al.
Proceedings of the 2004 American Control Conference (AAC). 2004. p. 4577-4582 (Proceedings of the American Control Conference; Vol. 5).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, W, Rivera, D, Kempf, KG & Smith, KD 2004, A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty. in Proceedings of the 2004 American Control Conference (AAC). Proceedings of the American Control Conference, vol. 5, pp. 4577-4582, Proceedings of the 2004 American Control Conference (AAC), Boston, MA, United States, 6/30/04. https://doi.org/10.1109/ACC.2004.182673

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A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty

Abstract

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