Abstract
In view of the characteristic of goods return in electronic commerce which some returned goods can be redistributed directly to customers after handling simply, a responsive closed-loop supply chain logistics network with integrating forward and reverse flow is researched. The returning feature of online commodity and economy of scale of return goods at initial collection point are based, and the optimization design model of closed-loop supply chain network aiming at determining the number and location of hybrid centers and initial collection points is presented, and a hybrid genetic algorithm is devised to solve the closed-loop supply chain logistics network problem. The usefulness of the proposed model and algorithm is validated by its application to an illustrative example.
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