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

Defeng Sun, Lixin Tang, Roberto Baldacci and Andrew Lim

European Journal of Operational Research, 2021, vol. 291, issue 1, 271-283

Abstract: 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.

Keywords: OR in maritime industry; Quay crane scheduling; Vessel stability constraints; Logic-based Benders decomposition (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:291:y:2021:i:1:p:271-283

DOI: 10.1016/j.ejor.2020.09.033

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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