动态需求下蓄冷式多温共配多目标优化模型及算法

蓄冷式多温共配是当前冷链物流领域一种较新的配送模式,可以有效地满足客户对产品多样性的需求。针对蓄冷式多温共配中客户需求的动态变化,本文从需求预测的角度出发,首先根据服务客户点的不同将车辆冗余空间的装载比例做了差异化处理,实现合理利用车辆冗余空间而又不全部满载;进而从时间满意度和订单完成率两方面度量客户满意度,建立了蓄冷式多温共配多目标模型;最后构建了较为高效的算法进行求解。算例分析表明,和其他策略相比,本文方法实用性更强。

Research on Multi-objective Optimization Model and Algorithm of Cold Storage Multi-temperature Joint Delivery under Dynamic Demand

Cold storage multi-temperature joint delivery is a new distribution mode in the current cold chain logistics, which can efficiently meet the customer's demand for product diversity. This paper focuses on the dynamic change of the customer's demand in the cold storage multi-temperature joint delivery. Firstly, based on the demand forecast, the assembly proportion of the vehicle redundant space is differentiated, and the redundant space of the vehicle is reasonably utilized without full load. Then, the customer satisfaction factor is considered from time satisfaction and order completion rate, and the cold storage multi-temperature joint delivery model is established. Finally, the above model is handled by heuristics. The experimental analysis demonstrates that our approach is more practical.