基于厌恶行为的冷链网络优化问题的研究

客户对冷链产品新鲜度的要求越来越高,但随着时间的变化,冷链产品品质在逐渐下降,客户的心理也在相应变化。在考虑交通阻塞的情况下,本文构建了客户厌恶行为函数,同时根据配送过程对车辆和驾驶员的被占用时间构建了配送中心厌恶行为函数,通过分配不同的权重将两个厌恶行为函数结合起来,在一系列约束条件下,以整体厌恶行为最小和成本最小为目标函数,建立了相应的数学模型。最后使用算例进行仿真,验证了所建立的数学模型是可行的。

Cold Chain Network Optimization Based on the Disgusting Behavior

Customer’s requirements for the freshness of cold chain products is increasing, but as time goes by, the quality of cold chain products is gradually declining, and the psychology of customers is changing accordingly. Considering the case of traffic congestion, this paper gives the customer aversion function on the basis of this, and gives the distribution center aversion function according to the different occupancy time of the vehicles and the drivers. Under a series of constraints, the corresponding mathematical model is established with the objective function of minimum aversive behavior and minimum cost. Finally, with an example to simulate, it is proved that the established mathematical model is feasible.