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

Marco Gehring (), Rebekka Volk, Niklas Braun and Frank Schultmann
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Marco Gehring: Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP)
Rebekka Volk: Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP)
Niklas Braun: Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP)
Frank Schultmann: Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP)

A chapter in Operations Research Proceedings 2021, 2022, pp 341-346 from Springer

Abstract: Abstract 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.

Keywords: Project scheduling; Material flows; Storage facilities (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-031-08623-6_50

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