The crane scheduling problem: models and solution approaches

Yongpei Guan (), Kang-Hung Yang and Zhili Zhou

Annals of Operations Research, 2013, vol. 203, issue 1, 119-139

Abstract: In this paper, we study the crane scheduling problem for a vessel after the vessel is moored on a terminal and develop both exact and heuristic solution approaches for the problem. For small-sized instances, we develop a time-space network flow formulation with non-crossing constraints for the problem and apply an exact solution approach to obtain an optimal solution. For medium-sized instances, we develop a Lagrangian relaxation approach that allows us to obtain tight lower bounds and near-optimal solutions. For large-sized instances, we develop two heuristics and show that the error bounds of our heuristics are no more than 100%. Finally, we perform computational studies to show the effectiveness of our proposed solution approaches. Copyright Springer Science+Business Media, LLC 2013

Keywords: Crane scheduling; Worst case analysis; Heuristic; Dynamic programming; Network flow model; Crane interference (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (15)

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DOI: 10.1007/s10479-010-0765-3

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