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

Abstract

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.