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A heuristic and a benchmark for the stowage planning problem

Author

Listed:
  • Rune Larsen

    (Technical University of Denmark)

  • Dario Pacino

    (Technical University of Denmark)

Abstract

The stowage planning problem has recently gained the attention of a number of academic researchers. Unfortunately, many of the published works are either based on oversimplified assumptions or on confidential data. This practice hinders the research field from growing. In this paper, we present a novel set of realistic vessel data along with a set of benchmark instances. Moreover, a formal definition of a single-port stowage planning problem, based on the current state of the art, is presented. The proposed optimisation problem is solved using a variant of the adaptive large neighbourhood search framework, where novel repair and destroy methods are presented. Computational results show that the solution approach is able to find high-quality seaworthy stowage plans within 60 s.

Suggested Citation

  • Rune Larsen & Dario Pacino, 2021. "A heuristic and a benchmark for the stowage planning problem," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(1), pages 94-122, March.
    • Handle: RePEc:pal:marecl:v:23:y:2021:i:1:d:10.1057_s41278-020-00172-5
    DOI: 10.1057/s41278-020-00172-5
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    References listed on IDEAS

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    12. Iris, Çağatay & Pacino, Dario & Ropke, Stefan, 2017. "Improved formulations and an Adaptive Large Neighborhood Search heuristic for the integrated berth allocation and quay crane assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 123-147.
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    1. Byung Kwon Lee & Joyce M. W. Low, 2022. "A constraint programming approach to capacity planning in container vessels," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 415-438, June.

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