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Model and Algorithm for Closed-loop Logistics System Considering Time-satisfaction Degree and Returns under E-commerce Environment

机译:电子商务环境下考虑时间满意度和收益的闭环物流系统模型与算法

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摘要

Facility location, inventory control and vehicle routes scheduling are critical and highly related problems in the design of logistics system for e-business.Meanwhile, the return ratio in Internet sales was significantly higher than in the traditional business.At the same time, the customer's time-satisfaction degree had become one of the important factors for competition.A multi-objective integrated optimization model of location-inventory-routing problem (LIRP) taking the cost of the returned merchandises and time-satisfaction degree into account is proposed for closed-loop logistics system.An improved adaptive genetic algorithm (IAGA) is designed to solve the model.Finally, the real instance is presented to show the effectiveness of the model and algorithm.
机译:设施的位置,库存控制和车辆路线安排是电子商务物流系统设计中的关键且高度相关的问题。与此同时,互联网销售的回报率显着高于传统业务。时间满意程度已成为竞争的重要因素之一。对于封闭式系统,提出了一种考虑退货商品成本和时间满意程度的多目标位置-库存-路由问题综合优化模型(LIRP)。循环物流系统。设计了一种改进的自适应遗传算法(IAGA)来求解该模型。最后,给出了实际实例以说明该模型和算法的有效性。

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