Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem

A constant development of gas utilization in domestic households, industry, and power plants has slowly transformed gaseous petrol into a noteworthy wellspring of energy. Supply and transportation planning of liquefied natural gas (LNG) need a great attention from the management of the supply chain...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 24; H. 11; S. 7885 - 7905
Hauptverfasser:	Sangaiah, Arun Kumar, Tirkolaee, Erfan Babaee, Goli, Alireza, Dehnavi-Arani, Saeed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2020 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Case studies Computational Intelligence Control Costs Crude oil prices Decision making Discount rates Energy Engineering Focus Heuristic methods Households Integer programming International relations Inventory Linear programming Liquefied natural gas Manufacturers Mathematical Logic and Foundations Mathematical models Mathematical programming Mechatronics Mixed integer Optimization Parameter sensitivity Power plants Profitability Profits Purchasing contracts Robotics Robustness Suppliers Supply & demand Supply chains Transportation planning China Optimal robustness level Robust optimization Cuckoo optimization algorithm (COA) Liquefied gas sales planning LNG supply
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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