【摘要】 基于冷链物流较普通物流产生更多碳排放的实际情况和现实中物流网络中的节点存在中断风险,利用情景描述法刻画冷链物流网络中节点中断的情景,兼顾货损成本、碳排放成本和缺货损失成本、运输成本,构建了冷链物流网络规划模型。利用改进遗传算法求解模型,求解过程主要采用模拟二进制交叉算子对决策变量进行降维。通过算例证明了冷链物流仓库网络规划模型可行性,并与贪婪算法对比证明算法的有效性。研究结果表明,企业可以根据公司的现状和商品的性质来选择合适的弹性系数使公司的物流总成本最小。更多还原

【Abstract】 In view of the fact that the nodes in the cold chain logistics network have the risk of interruption and the cold chain logistics generate more carbon emissions than the ordinary logistics, the scenario description method is used to describe the scene of node interruption in the cold chain logistics network. This paper constructs a cold chain logistics network planning model including freight loss cost, carbon emission cost, out-of-stock loss cost, and transportation cost.The improved genetic algorithm is used to solve the model. The solution process mainly uses the simulated binary crossover operator to reduce the dimension of the decision variables. The calculation results show that the cold chain logistics warehouse network planning model and the algorithm are effective and feasible. The research results show that the enterprise can choose the appropriate elastic coefficient to minimize the total logistics cost of the company according to the company’s current situation and the nature of the commodity.更多还原