摘要
针对低碳环境下多级闭环供应链网络设计的战略定位和配置问题,综合考虑网络参数的模糊性以及多产品流,以供应链网络的总成本和总碳排放最小为目标,建立多目标鲁棒模糊优化模型.该模型将机会约束的最低置信水平作为决策变量,实现目标函数期望值、最优鲁棒性和可行鲁棒性之间的有效平衡.最后,设计一种基于必要性测度的交互式ε约束模糊求解方法,并通过算例验证所提模型和算法的有效性和可行性.
To cope with the strategic location and configuration problem of multi-stage closed-loop supply chain network design under low-carbon environment, a multi-objective robust fuzzy optimization model is developed by considering the fuzzy parameters and multiple product flows. This model aims to minimize the total costs and total carbon emissions of the supply chain network. It also regards the lowest conservatism level of the chance constraints as decision variables, and achieves an effective balance among the expected value of the objective function, optimality robustness and feasibility robustness. Finally, an interactive ε-constraint fuzzy solution approach based on the necessity measure is proposed, and a numerical example is given to illustrate the effectiveness, and feasibility of the proposed model and algorithm.
出处
《控制与决策》
EI
CSCD
北大核心
2018年第2期293-300,共8页
Control and Decision
基金
浙江省社科规划课题成果(18NDJC180YB)
浙江省自然科学基金项目(LY17G020005
LZ14G020001
LQ14E050001)
国家自然科学基金项目(71302035
71672179)
高校人文社科基地浙江工商大学现代商贸研究中心和现代商贸流通体系建设协同创新中心项目(15SMGK07D)
教育部人文社科项目(15YJC630083)
浙江省科技厅公益项目(2016C33172)
关键词
闭环供应链
网络设计
模糊规划
鲁棒优化
低碳
closed-loop supply chain
network design
fuzzy programming
robust optimization
low carbon
