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

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

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.

OriginalspracheEnglisch
Titel31st European Modeling and Simulation Symposium, EMSS 2019
Redakteure/-innenMichael Affenzeller, Agostino G. Bruzzone, Francesco Longo, Guilherme Pereira
Herausgeber (Verlag)DIME UNIVERSITY OF GENOA
Seiten241-245
Seitenumfang5
ISBN (elektronisch)9788885741263
PublikationsstatusVeröffentlicht - 2019
Veranstaltung31st European Modeling and Simulation Symposium, EMSS 2019 - Lisbon, Portugal
Dauer: 18 Sep 201920 Sep 2019

Publikationsreihe

Name31st European Modeling and Simulation Symposium, EMSS 2019

Konferenz

Konferenz31st European Modeling and Simulation Symposium, EMSS 2019
Land/GebietPortugal
OrtLisbon
Zeitraum18.09.201920.09.2019

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