B2C模式下农村电子商务逆向物流网络多阶段布局优化——以电子商务企业3C产品为例

Feng Cao, Jianquan Guo, Chengji Liang
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引用次数: 5

摘要

采用多阶段优化模型对B2C模式下的农村电子商务逆向物流网络进行优化,解决了网购产品的退货和回收问题。以网络成本最小和顾客满意度最大为目标函数。应用两阶段启发式算法嵌套遗传算法,并结合算例验证了优化模型的可行性。结果表明,多阶段模型不仅降低了系统的不确定性风险,而且优化了整个运行过程中不同资源的投入。本研究可为网络购物产品逆向物流网络的设计,特别是农村电子商务逆向物流网络的设计提供参考。正确使用所提出的流程可以帮助电子商务企业有效地管理网上购物产品的退货和回收流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-stage Layout Optimization for Reverse Logistics Network of Rural E-Commerce under B2C Mode: A Case Study of E-Commerce Enterprises on 3C Products
The reverse logistics network of rural E-commerce under B2C mode is optimized by the multi-stage optimization model, which can solve the return and recycling problems of online-shopping products. The minimum of network cost and the maximum of customer satisfaction are taken as the objective function. Then the feasibility of optimization model is validated by applying a two-phase heuristic algorithm nesting GA with a calculation example. The results reveal that the multi-stage model not only reduces the uncertain risk of the system, but optimizes the input of different resources during the whole operation process. This study could provide a reference for the design of the reverse logistics network on online-shopping products, especially for that of rural E-commerce. And proper use of proposed process could help E-commerce enterprise manage the returning and recycling flow of online-shopping products effectively.
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