TY - GEN
T1 - Multi-objective optimization for a scheduling problem in the steel industry
AU - Hauder, Viktoria
AU - Beham, Andreas
AU - Raggl, Sebastian Josef
AU - Affenzeller, Michael
N1 - Publisher Copyright:
© 2019 Dime Universita di Genova, DIMEG University of Calabria.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Balanced box method
KW - Multi-objective optimization
KW - Scheduling
KW - Steel industry
UR - http://www.scopus.com/inward/record.url?scp=85073803052&partnerID=8YFLogxK
M3 - Conference contribution
T3 - 31st European Modeling and Simulation Symposium, EMSS 2019
SP - 241
EP - 245
BT - 31st European Modeling and Simulation Symposium, EMSS 2019
A2 - Affenzeller, Michael
A2 - Bruzzone, Agostino G.
A2 - Longo, Francesco
A2 - Pereira, Guilherme
PB - DIME UNIVERSITY OF GENOA
T2 - 31st European Modeling and Simulation Symposium, EMSS 2019
Y2 - 18 September 2019 through 20 September 2019
ER -