4.7 Article

An exact algorithm for the unidirectional quay crane scheduling problem with vessel stability

Journal

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 291, Issue 1, Pages 271-283

Publisher

ELSEVIER
DOI: 10.1016/j.ejor.2020.09.033

Keywords

OR in maritime industry; Quay crane scheduling; Vessel stability constraints; Logic-based Benders decomposition

Funding

  1. Major International Joint Research Project of the National Natural Science Foundation of China [71520107004]
  2. Fund for Innovative Research Groups of the National Natural Science Foundation of China [71621061]
  3. Major Program of the National Natural Science Foundation of China [71790614]
  4. Fundamental Research Funds for the Central Universities in China [N182803004]
  5. Overseas Expertise Introduction Project for Discipline Innovation (CN)
  6. 111 Project [B16009]

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This paper proposes a novel mathematical formulation and an exact algorithm based on logic-based Benders decomposition for the quay crane scheduling problem with vessel stability constraints, demonstrating the effectiveness of the proposed model and solution approach on benchmark instances.
This paper addresses the quay crane scheduling problem (QCSP) with vessel stability constraints. Vessel stability is essential to improve quay crane operations in container terminals, but it significantly complicates the basic QCSP and the corresponding solutions methods. We describe a novel mathematical formulation for the unidirectional QCSP with vessel stability, and we propose an exact algorithm based on logic-based Benders decomposition to solve the problem efficiently. The problem is decomposed into two subproblems, e.g., a task-assignment master problem without vessel stability constraints, and a time-allocation problem, aimed at determining the operation time of each task under the premise of the vessel stability requirements. The proposed algorithm is tested on benchmark instances derived from the literature, and the effectiveness of the proposed model and solution approach is demonstrated. (C) 2020 Published by Elsevier B.V.

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