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An exact algorithm for integrated planning of operations in dry bulk terminals

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  • Unsal, Ozgur
  • Oguz, Ceyda

Abstract

We consider integrated planning problem of export dry bulk terminals. This problem consists of three important operations: (i) berth allocation, (ii) reclaimer scheduling, and (iii) stockyard allocation, and includes tidal time windows, multiple stocking pads and non-crossing of reclaimers. We exploit relationships among these operations to decompose this complex problem and propose a logic-based Benders decomposition algorithm. Master and subproblems are modeled with mixed-integer programming and constraint programming, respectively, such that complementary strengths of these programming paradigms are utilized. Computational experiments show that the proposed method can effectively solve the integrated problem for up to two weeks of planning horizon.

Suggested Citation

  • Unsal, Ozgur & Oguz, Ceyda, 2019. "An exact algorithm for integrated planning of operations in dry bulk terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 103-121.
    • Handle: RePEc:eee:transe:v:126:y:2019:i:c:p:103-121
    DOI: 10.1016/j.tre.2019.03.018
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    12. Andreas T. Ernst & Ceyda Oğuz & Gaurav Singh & Gita Taherkhani, 2017. "Mathematical models for the berth allocation problem in dry bulk terminals," Journal of Scheduling, Springer, vol. 20(5), pages 459-473, October.
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    13. Bor-Hong Lin & Hsuan-Shih Lee & Cheng-Chi Chung, 2020. "The Construction and Implication of Group Scale Efficiency Evaluation Model for Bulk Shipping Corporations," Mathematics, MDPI, vol. 8(5), pages 1-13, May.
    14. João Luiz Marques Andrade & Gustavo Campos Menezes, 2023. "A column generation-based heuristic to solve the integrated planning, scheduling, yard allocation and berth allocation problem in bulk ports," Journal of Heuristics, Springer, vol. 29(1), pages 39-76, February.
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