考虑需求不确定的冷链物流中心选址  

On the Location of Cold Chain Logistics Center Considering Demand Uncertainty

作　　者：夏浩瀚 XIA Haohan(School of Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China)

机构地区：[1]兰州交通大学交通运输学院,甘肃兰州730070

出　　处：《物流科技》2023年第14期150-157,共8页Logistics Sci-Tech

摘　　要：文章运用随机机会约束规划理论研究冷链物流中心选址问题,建立了目标为总成本最小、考虑需求不确定情况的随机机会约束规划选址模型,并设计了遗传算法,引入实例进行求解,为冷链物流网络构建提供了一定的理论支持。通过对比不同置信度下选址总费用的求解结果发现:根据置信度的调整,可灵活调整服务水平。若需提高服务水平,则要提高置信度,虽然此时会付出更高的费用,但提升了服务质量,有助于获取更好的客户评价。反之,若需要节约费用,则可考虑适量下调置信度,以更小的费用提供较好的服务,有助于打造差异化竞争优势。The paper applies the theory of stochastic opportunity constrained programming to study the location problem of cold chain logistics centers,establishes a stochastic opportunity constrained programming location model with the goal of minimizing total cost and considering uncertain demand,and designs a genetic algorithm.An example is introduced to solve the problem,providing certain theoretical support for the construction of cold chain logistics networks.By comparing the results of solving the total cost of site selection under different confidence levels,it was found that the service level can be flexibly adjusted based on the adjustment of confidence levels.To improve the service level,it is necessary to increase credibility.Although higher costs may be incurred at this time,improving the quality of service can help to obtain better customer feedback.On the contrary,if cost savings are needed,a moderate reduction in confidence can be considered to provide better services at a lower cost,which helps to create a differentiated competitive advantage.

关 键 词：冷链物流 物流中心选址 需求不确定 遗传算法 

分 类 号：F259.27[经济管理—国民经济]