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A GRASP algorithm for the container stowage slot planning problem

Francisco Parreño, Dario Pacino and Ramon Alvarez-Valdes

Transportation Research Part E: Logistics and Transportation Review, 2016, vol. 94, issue C, 141-157

Abstract: This work presents a generalization of the Slot Planning Problem which raises when the liner shipping industry needs to plan the placement of containers within a vessel (stowage planning). State-of-the-art stowage planning relies on a heuristic decomposition where containers are first distributed in clusters along the vessel. For each of those clusters a specific position for each container must be found. Compared to previous studies, we have introduced two new features: the explicit handling of rolled out containers and the inclusion of separations rules for dangerous cargo. We present a novel integer programming formulation and a Greedy Randomized Adaptive Search Procedure (GRASP) to solve the problem. The approach is able to find high-quality solution within 1s. We also provide comparison with the state-of-the-art on an existing and a new set of benchmark instances.

Keywords: Container vessel stowage planning; Slot planning; Integer programming; Heuristic algorithms; GRASP (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (13)

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DOI: 10.1016/j.tre.2016.07.011

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