New mixed integer linear programming model for solving scheduling problems with special characteristics

Barbara Czuczai, Tivadar Farkas, Endre Rev, Zoltan Lelkes

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Abstract

A new mixed integer linear programming (MILP) model suitable for optimizing scheduling problems typical in chemical and related industries is developed. These problems have characteristics like storage time constraints, operational connectivity restrictions, and continuous tasks with special precedence constraints. Therefore, a new MILP model is developed for handling these special scheduling problems. The numerical capability of the model is demonstrated using test problems of different complexity levels.

Original languageEnglish
Pages (from-to)5321-5335
Number of pages15
JournalIndustrial and Engineering Chemistry Research
Volume48
Issue number11
DOIs
Publication statusPublished - Jun 3 2009

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ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

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