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Scheduling Projects with Converging and Diverging Material Flows Using IBM ILOG CP Optimizer—An Experimental Performance Analysis

Gehring, Marco ORCID iD icon 1; Volk, Rebekka ORCID iD icon 1; Braun, Niklas ORCID iD icon 1; Schultmann, Frank ORCID iD icon 1
1 Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

We study the problem of scheduling construction or deconstruction projects subject to temporal and renewable resource constraints to minimize the makespan. Moreover, we take into account material flows between activities of the project. Material flows can cause delays due to the limited capacity of intermediate storage facilities. In construction projects, material flows follow a convergent structure as materials are supplied, pre-treated, and mounted throughout the project. In deconstruction projects, materials are released, treated and removed from the site, resulting in a divergent structure. An experimental performance analysis with IBM ILOG CP Optimizer on generated test instances reveals that solving the problem with converging material flows requires a multiple of the computation time for solving the problem with diverging material flows.


Originalveröffentlichung
DOI: 10.1007/978-3-031-08623-6_50
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Zitationen: 1
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2022
Sprache Englisch
Identifikator ISBN: 978-3-031-08623-6
ISSN: 2731-040X
KITopen-ID: 1000150297
Erschienen in Operations Research Proceedings 2021. Ed.: N. Trautmann
Veranstaltung Joint Annual International Conference of the Operations Research Societies of Switzerland (SVOR), Germany (GOR e.V.) and Austria (ÖGOR). Business Analytics for Data-Driven Decision Making (OR 2021), Online, 31.08.2021 – 03.09.2021
Verlag Springer Nature Switzerland
Seiten 341–346
Serie Lecture Notes in Operations Research
Projektinformation NukPIaRStoR (BMBF, 15S9414A)
Vorab online veröffentlicht am 30.08.2022
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