Scope for industrial applications of production scheduling models and solution methods

Research output: Contribution to journalReview Article

Researchers

  • Iiro Harjunkoski

  • Christos T. Maravelias
  • Peter Bongers
  • Pedro M. Castro
  • Sebastian Engell
  • Ignacio E. Grossmann
  • John Hooker
  • Carlos Méndez
  • Guido Sand
  • John Wassick

Research units

  • University of Wisconsin-Madison
  • Laboratório Nacional de Energia e Geologia (LNEG)
  • Carnegie Mellon University
  • Consejo Nacional de Investigaciones Científicas y Técnicas
  • Dow Chemical
  • ABB Group
  • Technische Universität Dortmund
  • Eindhoven University of Technology

Abstract

This paper gives a review on existing scheduling methodologies developed for process industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling and discuss the main characteristics, including strengths and weaknesses of the presented approaches. It is claimed that optimization tools of today can effectively support the plant level production. However there is still clear potential for improvements, especially in transferring academic results into industry. For instance, usability, interfacing and integration are some aspects discussed in the paper. After the introduction and problem classification, the paper discusses some lessons learned from industry, provides an overview of models and methods and concludes with general guidelines and examples on the modeling and solution of industrial problems.

Details

Original languageEnglish
Pages (from-to)161-193
Number of pages33
JournalComputers and Chemical Engineering
Volume62
Publication statusPublished - 5 Mar 2014
MoE publication typeA2 Review article in a scientific journal

    Research areas

  • Best practices, Challenges, Industrial applications, Integration, Scheduling

ID: 6320730