考虑碳交易的果蔬品供应链网络优化  

Network Optimization of Fruit and Vegetable Supply Chain Considering Carbon Trading

作　　者：严南南[1] 朱丽珊 YAN Nannan ZHU Lishan(Logistics Research Center, Shanghai Maritime University, Shanghai 201306, P. R. China)

机构地区：[1]上海海事大学物流研究中心,上海201306

出　　处：《重庆交通大学学报（自然科学版）》2016年第6期171-176,共6页Journal of Chongqing Jiaotong University(Natural Science)

基　　金：上海市科委科技创新项目(12595810200)

摘　　要：基于供应链网络,分析了碳交易政策对果蔬品供应链总成本的影响,构建包括生产成本、运输成本、储存成本、腐败成本和碳交易成本在内的供应链成本函数。以最小化供应链成本和碳排放量为目标,建立多目标整数规划模型;针对总成本最低的均衡优化模型,采用粒子群算法进行求解,并对碳交易价格、车容量、单位耗油量等参数进行敏感性分析;算例验证了供应链网络模型和求解算法的可行性。实验结果显示:增加较少的成本能大幅度降低碳排放量,实现经济和环境的协调发展。Based on the supply chain network,the impact of carbon trading policy on the total cost of fruit and vegetable supply chain was researched,and a supply chain cost function was established,which included product cost,transport cost,storage cost,rot cost and carbon trading cost. In order to minimize the total cost and carbon emissions,a multi-objective integer programming model was established. For the balanced and optimized model with the lowest total cost,the particle swam optimization was used to solve,and the sensitivities of parameters such as carbon trading price,vehicle capacity and unit fuel consumption were analyzed. The case study proves the feasibility of the supply chain network model and the algorithm. The experiment results show that fewer increase of the cost can greatly reduce the carbon emissions to realize the harmonious development of economy and environment.

关 键 词：管理工程 碳交易 节能减排 果蔬品 多目标规划 粒子群算法 

分 类 号：U691.3[交通运输工程—港口、海岸及近海工程]