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

In: Operations Research Proceedings 2021

Author

Listed:
  • 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))

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.

Suggested Citation

  • Marco Gehring & Rebekka Volk & Niklas Braun & Frank Schultmann, 2022. "Scheduling Projects with Converging and Diverging Material Flows Using IBM ILOG CP Optimizer—An Experimental Performance Analysis," Lecture Notes in Operations Research, in: Norbert Trautmann & Mario Gnägi (ed.), Operations Research Proceedings 2021, pages 341-346, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-08623-6_50
    DOI: 10.1007/978-3-031-08623-6_50
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