摘要
基于低碳化目标与钢铁供应链网络特点,立足于核心企业,分析整个供应链网络上产品的碳足迹,提出以供应链网络总经济成本最小和网络总碳排放量最小为目标的多目标网络优化模型,采用模糊规划方法将多目标规划转化为单目标规划,设计此类优化问题的遗传算法,并通过算例仿真,得出一种科学可行的优化方法。
In this paper, based on the low-carbon objective and the characteristics of the steel supply chain network, we analyzed the carbon footprint of the products in the supply chain network, proposed the optimization model aimed at minimizing total economic cost and carbon emissions of the network, converted the multi-objective programming problem into a single-objective programming problem using the fuzzy programming process, designed the genetic algorithm for its solution, and at the end, through a numerical simulation, obtained a scientific and feasible solution.
出处
《物流技术》
2015年第23期142-146,共5页
Logistics Technology
基金
国家自然科学基金"基于产品全生命周期的企业低碳制造战略形成机制与驱动模式研究-以水泥行业为例"(71273118)
江苏大学高级人才科研启动基金"敏捷供应链应急调度决策模型及其优化研究"(11JDG006)
关键词
碳足迹
钢铁供应链
网络优化
多目标规划
遗传算法
carbon footprint
steel supply chain
network optimization
multi-objective programming
genetic algorithm
