Designing And Planning The Downstream Oil Supply Chain Under Uncertainty Using A Fuzzy Programming Approach (Vol 151, 107373, 2021)
COMPUTERS & CHEMICAL ENGINEERING(2021)
摘要
This paper addresses the strategic and tactical planning of a downstream oil supply chain (DOSC) subject to different sources of uncertainty. This problem is formulated as a mixed-integer linear programming (MILP) model, whereas uncertainty is tackled using chance constrained programming with fuzzy param-eters. The MILP model aims at determining the network design and the products distribution plan in a cost-effective way. A real case study on the Brazilian oil industry is used to validate the model. The pro-posed model shows to be a valuable decision-support tool in order to aid the decision-making process in the strategic and tactical planning of real-life problems.(c) 2021 Elsevier Ltd. All rights reserved.
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关键词
Strategic and tactical planning, Downstream oil supply chain, Optimization, Fuzzy programming, Uncertainty
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