Economic model predictive control for inventory management in supply chains

Kaushik Subramanian, James B. Rawlings, Christos T. Maravelias

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

In this paper, we propose economic model predictive control with guaranteed closed-loop properties for supply chain optimization. We propose a new multiobjective stage cost that captures economics as well as risk at a node, using a weighted sum of an economic cost and a tracking stage cost. We also demonstrate integration of scheduling with control using a supply chain example. We integrate a scheduling model for a multiproduct batch plant with a control model for inventory control in a supply chain. We show recursive feasibility of such integrated control problems by developing simple terminal conditions.

Original languageEnglish (US)
Pages (from-to)71-80
Number of pages10
JournalComputers and Chemical Engineering
Volume64
DOIs
StatePublished - May 7 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Keywords

  • Economic model predictive control
  • Inventory control
  • Scheduling
  • Supply chain optimization

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