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Short-Term Scheduling of Vessels for Shipping Bulk or Semi-Bulk Commodities Originating in a Single Area

Author

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  • David Ronen

    (University of Missouri, St. Louis, Missouri)

Abstract

We analyze a single-voyage ship-scheduling problem. A set of ships of different sizes and cost functions must be used to deliver a set of shipments to their destinations. The cost function that is minimized consists of the cost of ships' time and port charges, as this cost applies to the various terms of ships employment. We compare several algorithms for allocating shipments to ships, and achieve substantial cost savings as compared with industry practice. A biased random algorithm provides very good solutions that are close to the optimal ones.

Suggested Citation

  • David Ronen, 1986. "Short-Term Scheduling of Vessels for Shipping Bulk or Semi-Bulk Commodities Originating in a Single Area," Operations Research, INFORMS, vol. 34(1), pages 164-173, February.
    • Handle: RePEc:inm:oropre:v:34:y:1986:i:1:p:164-173
    DOI: 10.1287/opre.34.1.164
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    Citations

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    Cited by:

    1. Wu, Lingxiao & Pan, Kai & Wang, Shuaian & Yang, Dong, 2018. "Bulk ship scheduling in industrial shipping with stochastic backhaul canvassing demand," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 117-136.
    2. Bilgen, Bilge & Ozkarahan, Irem, 2007. "A mixed-integer linear programming model for bulk grain blending and shipping," International Journal of Production Economics, Elsevier, vol. 107(2), pages 555-571, June.
    3. Ozelkan, Ertunga C. & D'Ambrosio, Alfred & Teng, S. Gary, 2008. "Optimizing liquefied natural gas terminal design for effective supply-chain operations," International Journal of Production Economics, Elsevier, vol. 111(2), pages 529-542, February.
    4. Al-Khayyal, Faiz & Hwang, Seung-June, 2007. "Inventory constrained maritime routing and scheduling for multi-commodity liquid bulk, Part I: Applications and model," European Journal of Operational Research, Elsevier, vol. 176(1), pages 106-130, January.
    5. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    6. Li, Lingyue & Gao, Suixiang & Yang, Wenguo & Xiong, Xing, 2020. "Ship’s response strategy to emission control areas: From the perspective of sailing pattern optimization and evasion strategy selection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    7. Shih, Li-Hsing, 1997. "Planning of fuel coal imports using a mixed integer programming method," International Journal of Production Economics, Elsevier, vol. 51(3), pages 243-249, September.
    8. Sambracos, E. & Paravantis, J. A. & Tarantilis, C. D. & Kiranoudis, C. T., 2004. "Dispatching of small containers via coastal freight liners: The case of the Aegean Sea," European Journal of Operational Research, Elsevier, vol. 152(2), pages 365-381, January.
    9. Zhijia Tan & Yadong Wang & Qiang Meng & Zhixue Liu, 2018. "Joint Ship Schedule Design and Sailing Speed Optimization for a Single Inland Shipping Service with Uncertain Dam Transit Time," Service Science, INFORMS, vol. 52(6), pages 1570-1588, December.
    10. Marielle Christiansen, 1999. "Decomposition of a Combined Inventory and Time Constrained Ship Routing Problem," Transportation Science, INFORMS, vol. 33(1), pages 3-16, February.
    11. Tzafestas, Spyros & Triantafyllakis, Alekos, 1993. "Deterministic scheduling in computing and manufacturing systems: a survey of models and algorithms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 35(5), pages 397-434.

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