2015
DOI: 10.1016/j.apenergy.2014.10.039
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An MILP model for optimization of a small-scale LNG supply chain along a coastline

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Cited by 44 publications
(18 citation statements)
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“…Therefore, a minimum production schedule that addresses market demands must be developed to allow a both cost-effective and secure LNG supply network [ 5 ]. There are difficulties in optimizing the supply chain network for LNG, such as price and demand uncertainty [ 6 ], multiple gas production options [ 7 ], variable distribution modes [ 8 ], versatile navigation paths [ 9 ], yearly fluctuating demands [ 10 ], and the simultaneous need to optimize infrastructure development and inventory routing [ 11 ]. There is some difficulty in optimizing the LNG supply system due to the complexity of the LNG supply chain, so solving this problem will be challenging [ 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, a minimum production schedule that addresses market demands must be developed to allow a both cost-effective and secure LNG supply network [ 5 ]. There are difficulties in optimizing the supply chain network for LNG, such as price and demand uncertainty [ 6 ], multiple gas production options [ 7 ], variable distribution modes [ 8 ], versatile navigation paths [ 9 ], yearly fluctuating demands [ 10 ], and the simultaneous need to optimize infrastructure development and inventory routing [ 11 ]. There is some difficulty in optimizing the LNG supply system due to the complexity of the LNG supply chain, so solving this problem will be challenging [ 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…Jokinen et al [12] presented a mixed-integer programming model for small-scale LNG supply chain optimization. The model illustrated by a case study considered an LNG supply chain in Finland.…”
Section: Introductionmentioning
confidence: 99%
“…Fodstad et al [3] and Rakke et al [4] consider inventory, routing, and scheduling. Studies [1,12,16,18,21] propose models on LNG supply chain. Most of the studies assume that demand, inventory, service time, and other factors are fixed.…”
Section: Introductionmentioning
confidence: 99%
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“…A study closer to our work is the one by Jokinen et al (2015). They present a mixed integer linear programming model that aims at minimzing the cost of a small-scale LNG supply chain in southern Finland, including both annual terminal investment as well as transportation costs.…”
Section: Introductionmentioning
confidence: 99%