Scope for industrial applications of production scheduling models and solution methods

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

Research output: Contribution to journalReview articlepeer-review

411 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)161-193
Number of pages33
JournalComputers and Chemical Engineering
StatePublished - Mar 5 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Chemical Engineering
  • Computer Science Applications


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


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