摘要： 绿色供应链网络体系的研究对提高企业竞争力、保护环境和实施可持续发展战略具有重要意义。为此,介绍供应链相关背景,针对传统供应链网络设计提出优化方法,在供应链网络构建最初即考虑水污染、碳排放等环境因素,建立数学模型,结合遗传算法和最优化算法,设计基于自主学习的复合遗传算法求解该模型,完成绿色供应链网络的构建,从而实现供应链合作伙伴“绿色化组合”的选择,为企业管理者提供一定的决策支持。实验结果表明,该方法能客观评价供应链合作伙伴的环保、服务等因素,对于绿色供应链网络体系构建具有可行性和适用性。

关键词: 绿色供应链网络, 供应链网络优化, 启发式算法, 自主学习, 遗传算法

Abstract: Green supply chain network system is of great significance to improve the competitiveness of enterprises,to protect the environment and to implement the strategy of sustainable development.This paper introduces the background of the supply chain and puts forward an optimization method for the traditional supply chain network design.Meanwhile,considering the environmental factors such as water pollution and carbon emissions in the beginning of the supply chain network construction,it establishes the mathematical model.Combining with Genetic Algorithm(GA) and optimization algorithm,it designs hybrid GA based on autonomous learning to solve the model,and completes the construction of green supply chain network,so as to realize green combination selection of cooperative partner of the supply chain and provide some decision support for the enterprise managers.Experimental results show that proposed approach can objectively evaluate the service,environmental protection and other factors of the supply chain partner.It is feasible and applicable in the construction of green supply chain network system.

Key words: green supply chain network, supply chain network optimization, heuristic algorithm, autonomous learning, Genetic Algorithm(GA)

中图分类号: 

• TP399