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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

机译:B2C模式下农村电子商务逆向物流网络的多阶段布局优化-以3C产品电子商务企业为例

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摘要

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.
机译:利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了优化,可以解决网购产品的退货和回收问题。目标成本是网络成本的最小和客户满意度的最大值。然后通过应用两阶段启发式算法嵌套遗传算法和一个计算实例,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,而且在整个运营过程中优化了不同资源的投入。该研究可为网上购物产品,尤其是农村电子商务的逆向物流网络设计提供参考。正确使用建议的流程可以帮助电子商务企业有效地管理在线购物产品的退货和回收流程。

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