Multi-objective optimization for a scheduling problem in the steel industry

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Abstract

Multiple conflicting objectives such as costs versus quality are part of many optimization processes in the area of production and logistics management. Exactly such a case is also examined in this work. For an already existing resource-constrained project scheduling problem, a second objective function, inspired by the steel industry, is taken into account. Together with the presentation of the related mixed integer programming (MIP) and constraint programming (CP) models, the recently developed balanced box method (Boland, Charkhgard, and Savelsbergh 2015) is used to solve this bi-objective optimization problem. Both approaches (MIP and CP) are compared in terms of runtime and solution quality, showing the advantages of using CP.

Original languageEnglish
Title of host publication31st European Modeling and Simulation Symposium, EMSS 2019
EditorsMichael Affenzeller, Agostino G. Bruzzone, Francesco Longo, Guilherme Pereira
PublisherDIME UNIVERSITY OF GENOA
Pages241-245
Number of pages5
ISBN (Electronic)9788885741263
Publication statusPublished - 2019
Event31st European Modeling and Simulation Symposium, EMSS 2019 - Lisbon, Portugal
Duration: 18 Sep 201920 Sep 2019

Publication series

Name31st European Modeling and Simulation Symposium, EMSS 2019

Conference

Conference31st European Modeling and Simulation Symposium, EMSS 2019
Country/TerritoryPortugal
CityLisbon
Period18.09.201920.09.2019

Keywords

  • Balanced box method
  • Multi-objective optimization
  • Scheduling
  • Steel industry

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