Resource constrained project scheduling: A real-world extension for steel industry

Viktoria Hauder, Andreas Beham, Sebastian Josef Raggl, Michael Affenzeller

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

1 Citation (Scopus)

Abstract

Project scheduling is an essential operational optimization task when precedence relations and the access to limited resources are problem inherent. In this work, a real-world production and logistics planning process of a steel manufacturer is modeled. Production activities have to be scheduled in a way such that real-world restrictions and objectives are considered. Therefore, the basis for this model is the well-known resource constrained project scheduling problem. However, for the consideration of all necessary real-world requirements, a new problem model with various extensions concerning project flexibility and the production of multiple lots is developed. Within a first step, the developed model is solved exactly for small instances by using IBM ILOG CPLEX. As a second step, for larger (real-world) instances which are not solvable within a reasonable time for real-world applications, a Constraint Programming model is developed and applied successfully for large real-world problem instances.

Original languageEnglish
Title of host publication30th European Modeling and Simulation Symposium, EMSS 2018
EditorsYuri Merkuryev, Miquel Angel Piera, Francesco Longo, Agostino G. Bruzzone, Michael Affenzeller, Emilio Jimenez
PublisherDIME UNIVERSITY OF GENOA
Pages172-177
Number of pages6
ISBN (Electronic)9788885741065
ISBN (Print)978-88-85741-03-4
Publication statusPublished - 2018
Event30th European Modeling and Simulation Symposium, EMSS 2018 - Budapest, Hungary
Duration: 17 Sept 201819 Sept 2018

Publication series

Name30th European Modeling and Simulation Symposium, EMSS 2018

Conference

Conference30th European Modeling and Simulation Symposium, EMSS 2018
Country/TerritoryHungary
CityBudapest
Period17.09.201819.09.2018

Keywords

  • Alternative production routes
  • Constraint programming
  • Flexible resource constrained project scheduling
  • Production optimization

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