摘要
针对冷链物流配送路径优化问题,根据绿色物流理念及冷链物流配送过程特点,分析了配送过程中车辆固定成本、配送过程燃油成本、配送过程货损成本及碳税成本,并以上述各成本之和最小为优化目标构造数学模型,并将全局人工鱼群算法运用到该模型中。借助Matlab软件对具体案例进行求解,得出总成本为4 456元。结果表明,数学模型和全局人工鱼群算法对求解此类问题有着一定的理论指导和参考价值。
In view of the cold chain logistic distribution routing optimization,based on the concept of green supply chain and the characteristics of the cold chain logistics distribution process,the fixed cost of the vehicle,the fuel cost of the distribution process,the freight loss cost of the distribution process and the carbon emission cost were analyzed,and a mathematical model was constructed with the minimum sum of the above costs as the optimization target.The global artificial fish swarm algorithm was applied to the model.Finally,the Matlab software was used to solve the specific case and the total cost is 4,456 yuan.The result of the case shows that the mathematical model and global artificial fish swarm algorithm have certain theoretical guidance and reference value for solving such problems.
作者
陶帝豪
刘蓉
雷勇杰
章桥新
TAO Dihao;LIU Rong;LEI Yongjie;ZHANG Qiaoxin(School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China;The 9th Designing of China Aerospace Science Industry Corp.,Wuhan 430040,China)
出处
《工业工程》
北大核心
2019年第2期89-95,共7页
Industrial Engineering Journal
基金
中央高校基本科研业务费专项资金资助项目(WUT:2018IVA023)
关键词
绿色供应链
冷链物流
碳排放
全局人工鱼群算法
green supply chain
cold chain distribution
the carbon emission
the global artificial fish swarm algorithm
