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المؤلفAl-Haidous, Sara
المؤلفMsakni, Mohamed Kais
المؤلفHaouari, Mohamed
تاريخ الإتاحة2023-01-23T08:18:14Z
تاريخ النشر2016
اسم المنشورTransportation Research Part C: Emerging Technologies
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1016/j.trc.2016.05.017
معرّف المصادر الموحدhttp://hdl.handle.net/10576/38715
الملخصWe investigate the problem of designing an optimal annual delivery plan for Liquefied Natural Gas (LNG). This problem requires determining the long-term cargo delivery dates and the assignment of vessels to the cargoes while accommodating several constraints, including berth availability, liquefaction terminal inventory, planned maintenance, and bunkering requirements. We describe a novel mixed-integer programming formulation that captures important industry requirements and constraints with the objective of minimizing the vessel fleet size. A peculiar property of the proposed formulation is that it includes a polynomial number of variables and constraints and is, in our experience, computationally tractable for large problem instances using a commercial solver. Extensive computational runs demonstrate the efficacy of the proposed model for real instances provided by a major energy company that involve up to 118 cargoes and a 373-day planning horizon. 2016 Elsevier Ltd.
اللغةen
الناشرElsevier
الموضوعAnnual delivery plan
Arc-flow models
LNG supply chain
Maritime transportation
العنوانOptimal planning of liquefied natural gas deliveries
النوعArticle
الصفحات79-90
رقم المجلد69
dc.accessType Abstract Only


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