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AuthorAl-Haidous, Sara
AuthorMsakni, Mohamed Kais
AuthorHaouari, Mohamed
Available date2023-01-23T08:18:14Z
Publication Date2016
Publication NameTransportation Research Part C: Emerging Technologies
ResourceScopus
URIhttp://dx.doi.org/10.1016/j.trc.2016.05.017
URIhttp://hdl.handle.net/10576/38715
AbstractWe 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.
Languageen
PublisherElsevier
SubjectAnnual delivery plan
Arc-flow models
LNG supply chain
Maritime transportation
TitleOptimal planning of liquefied natural gas deliveries
TypeArticle
Pagination79-90
Volume Number69


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