考虑交付期限的订单配送策略  

Requests dispatch strategyy with delivery constraints

作　　者：高展 姜艳萍[1] GAO Zhan;JIANG Yan-ping(School of Business Administration,Northeastern University,Shenyang 110167,China)

机构地区：[1]东北大学工商管理学院,沈阳110167

出　　处：《控制与决策》2024年第6期2089-2096,共8页Control and Decision

基　　金：国家自然科学基金项目(71871048)。

摘　　要：近年来,一种新兴的高效同城配送服务模式迅速发展,即针对随机到达的订单实现当天从点到点送货上门具有交付期限的订单配送服务.针对具有交付期限的、随机到达的订单配送问题,考虑平台可通过自有车辆服务订单,同时也可委托第3方物流服务订单的特点,提出一种决定是否接受该订单和确定车辆服务订单集合的订单配送策略.首先,以平台的运营成本最小为目标,建立订单配送的马尔可夫决策模型;然后,分析最优策略的性质;最后,与FCFS策略和按时交付策略进行对比分析.实验结果表明:所提出订单配送策略相比于FCFS策略与按时交付策略,不仅能够降低平台的总运营成本,且能够提高顾客满意度,保证服务质量,并通过数值分析验证了所建立的模型和求解算法的有效性.In recent years,a new efficient delivery service mode in city area has developed rapidly,that is,to realize the requests delivery service with delivery constraints from point to point on the same day for stochastic requests.Aiming at the requests delivery problem with delivery constraints and stochastic,considering the features that the platform can either accept the requests of its vehicle or entrust the requests of the third-party logistics,a requests dispatch strategy is proposed to decide whether to accept the requests and determine the vehicle service requests set.A Markov decision model for requests delivery is established to minimize the operating cost of the platform.Then,the properties of the optimal strategy are analyzed.Finally,the results show that compared with the FCFS strategy and on-time delivery strategy,the order distribution strategy proposed can reduce the total operating cost of the platform and improve customer satisfaction and ensure service quality.The effectiveness of the model and algorithm is verified by a set of numerical analyses.

关 键 词：订单配送 马尔可夫决策过程 交付期限 配送策略 

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