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Constraint programming for LNG ship scheduling and inventory management

Author

Listed:
  • Goel, V.
  • Slusky, M.
  • van Hoeve, W.-J.
  • Furman, K.C.
  • Shao, Y.

Abstract

We propose a constraint programming approach for the optimization of inventory routing in the liquefied natural gas industry. We present two constraint programming models that rely on a disjunctive scheduling representation of the problem. We also propose an iterative search heuristic to generate good feasible solutions for these models. Computational results on a set of large-scale test instances demonstrate that our approach can find better solutions than existing approaches based on mixed integer programming, while being 4–10 times faster on average.

Suggested Citation

  • Goel, V. & Slusky, M. & van Hoeve, W.-J. & Furman, K.C. & Shao, Y., 2015. "Constraint programming for LNG ship scheduling and inventory management," European Journal of Operational Research, Elsevier, vol. 241(3), pages 662-673.
    • Handle: RePEc:eee:ejores:v:241:y:2015:i:3:p:662-673
    DOI: 10.1016/j.ejor.2014.09.048
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    References listed on IDEAS

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    1. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.
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    Cited by:

    1. Sara Al-Haidous & Tareq Al-Ansari, 2019. "Sustainable Liquefied Natural Gas Supply Chain Management: A Review of Quantitative Models," Sustainability, MDPI, vol. 12(1), pages 1-23, December.
    2. Pohl, Maximilian & Artigues, Christian & Kolisch, Rainer, 2022. "Solving the time-discrete winter runway scheduling problem: A column generation and constraint programming approach," European Journal of Operational Research, Elsevier, vol. 299(2), pages 674-689.
    3. Mutlu, Fatih & Msakni, Mohamed K. & Yildiz, Hakan & Sönmez, Erkut & Pokharel, Shaligram, 2016. "A comprehensive annual delivery program for upstream liquefied natural gas supply chain," European Journal of Operational Research, Elsevier, vol. 250(1), pages 120-130.
    4. Koza, David Franz & Ropke, Stefan & Boleda Molas, Anna, 2017. "The liquefied natural gas infrastructure and tanker fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 96-114.
    5. Mingyu Li & Kjetil Fagerholt & Peter Schütz, 2023. "Maritime inventory routing with transshipment: the case of Yamal LNG," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 269-294, March.
    6. Gregory A. Kasapidis & Dimitris C. Paraskevopoulos & Panagiotis P. Repoussis & Christos D. Tarantilis, 2021. "Flexible Job Shop Scheduling Problems with Arbitrary Precedence Graphs," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4044-4068, November.
    7. Lubing Xie & Xiaoming Rui & Shuai Li & Xiaozhao Fan & Ruijing Shi & Guohua Li, 2018. "A Critical Analysis on Influential Factors on Power Energy Resources in China," Modern Applied Science, Canadian Center of Science and Education, vol. 12(2), pages 1-1, February.
    8. Cho, Jaeyoung & Lim, Gino J. & Kim, Seon Jin & Biobaku, Taofeek, 2018. "Liquefied natural gas inventory routing problem under uncertain weather conditions," International Journal of Production Economics, Elsevier, vol. 204(C), pages 18-29.

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