Integrated production planning and scheduling optimization of multi-site, multi-product process industry

Nikisha K. Shah, Marianthi Ierapetritou

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The current manufacturing environment has changed from traditional single-site plant to multi-site plants serving a global market. In this paper, the integrated planning and scheduling problem for multi-site batch plants is considered and solved using the augmented lagrangian method. To resolve the issues of non-separable cross-product terms in the augmented lagrangian relaxation, we apply diagonal approximation method. Results show that the proposed method yield significant computational time savings.

Original languageEnglish (US)
Pages (from-to)1015-1019
Number of pages5
JournalComputer Aided Chemical Engineering
Volume29
DOIs
StatePublished - Jun 20 2011

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Scheduling
Planning
Industry

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Keywords

  • Augmented lagrangian relaxation
  • Continuous time
  • Decomposition method
  • Multi-site production
  • Planning and scheduling integration

Cite this

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Integrated production planning and scheduling optimization of multi-site, multi-product process industry. / Shah, Nikisha K.; Ierapetritou, Marianthi.

In: Computer Aided Chemical Engineering, Vol. 29, 20.06.2011, p. 1015-1019.

Research output: Contribution to journalArticle

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KW - Planning and scheduling integration

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