化工学报2017，Vol.68Issue(2)：746-758,13.DOI:10.11949/j.issn.0438-1157.20160909
石油供应链计划层优化与不确定性风险管理模型
An optimization model for tactical decision-making level and uncertainty risk management in petroleum supply chain
摘要
Abstract
A finite-scenario-based two-stage stochastic mixed integer linear programming (MILP) model was proposed to optimize tactical decision-making level of multi-period and multi-echelon petroleum supply chains under uncertain circumstances. In the model, environmental objective of CO2 emission reduction was added to economic objective by collecting carbon tax, and each entity in the supply chain was considered as a“black box”to simplify the complicated system. A relatively reliable optimal result was obtained from the model over a considerably long duration to facilitate plan and management of petroleum supply chain. Further, risks to achieve the optimal outcome were analyzed and the model was revised with risk management constraints. Compared to the original model, the proposed model with risk management constraints could lower risks for the expected profit.关键词
石油供应链/优化/不确定性/风险管理/系统工程Key words
petroleum supply chain/optimization/uncertainty/risk management/system engineering分类
化学化工引用本文复制引用
赵用明,罗祎青,袁希钢..石油供应链计划层优化与不确定性风险管理模型[J].化工学报,2017,68(2):746-758,13.基金项目
中国工程院重点咨询研究项目天津滨海新区建设循环经济示范区的发展战略咨询研究（2014-XZ-9）。 （）
