Integration of control theory and scheduling methods for supply chain management

Kaushik Subramanian, James B. Rawlings, Christos T. Maravelias, Jesus Flores-Cerrillo, Lawrence Megan

Research output: Contribution to journalArticlepeer-review

74 Scopus citations

Abstract

In this paper, we propose to use distributed model predictive control for supply chain optimization. In particular, we focus on inventory management in supply chains. We use cooperative model predictive control, in which each agent makes their local decisions by optimizing the overall supply chain objective. Motivated by recent results in Stewart, Wright, and Rawlings (2011), we develop a new cooperative MPC algorithm that is applicable to any stabilizable system, and in particular to supply chain models. We illustrate cooperative MPC for a two node supply chain example and compare its performance and properties with other classical distributed operating policies.

Original languageEnglish (US)
Pages (from-to)4-20
Number of pages17
JournalComputers and Chemical Engineering
Volume51
DOIs
StatePublished - Apr 5 2013
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Keywords

  • Cooperative control
  • Distributed control
  • Inventorycontrol
  • Model predictive control
  • Supply chain optimization

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