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Sharing in construction projects — On determining optimal container assignments for the on-site accommodation of trades

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  • Dienstknecht, Michael
  • Briskorn, Dirk

Abstract

The sharing economy is among the top trending topics in operations research. In this paper, we introduce a novel sharing application encountered in the construction industry. The problem under research, which has been developed in close cooperation with an industrial partner, is concerned with the on-site accommodation of trades in large-scale construction projects. In such projects, a construction logistics company provides containers gathered in an area of the site and assigns trades to them based on their requests issued online. Usually, a single trade will only remain on-site for a certain period of time, i.e. for as long as it is carrying out its activities in the project. Similarly, containers will only be provided for a certain time interval. This dynamic nature may require re-assigning trades as the project progresses. As such re-assignments impose costs for the logistics company, it is the goal to keep them to a minimum. We formally define the resulting optimization problem, present two mixed-integer programming formulations and develop a fix-and-optimize heuristic. In an extensive computational study, we show the latter to not only clearly outperform standard solver CPLEX operating on the holistic mixed-integer program, but to also provide substantial savings over the assignment policy currently applied in practice.

Suggested Citation

  • Dienstknecht, Michael & Briskorn, Dirk, 2024. "Sharing in construction projects — On determining optimal container assignments for the on-site accommodation of trades," European Journal of Operational Research, Elsevier, vol. 315(1), pages 324-337.
    • Handle: RePEc:eee:ejores:v:315:y:2024:i:1:p:324-337
    DOI: 10.1016/j.ejor.2023.11.045
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    References listed on IDEAS

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