DYNAMIC JOINT CONSTRUCTION AND OPTIMAL STRATEGY OF MULTI-OBJECTIVE MULTI PERIOD MULTI-STAGE REVERSE LOGISTICS NETWORK: A CASE STUDY OF LEAD BATTERY IN SHANGHAI

An integrated multi-objective multi-period multi-stage government-enterprise joint model is constructed to recycle used lead battery effectively. The feasibility of the model is validated with a numerical example by adopting a two-phase heuristic algorithm nesting GA/PSO. The results show that the negative effect to the surroundings of the operation in the system is minimized, and the facility resources are fully utilized because of the multi-period arrangement of recycling activities in the system. In addition, the arrangement of the locations and quantities of its nodes in different stages not only reduces the uncertain risk of the system, but optimizes the input of money, manpower and material during the whole operation process. The study provides a reference for the design of joint construction of government-enterprise reverse logistics network and its optimal operation, especially for the recovery of this kind of used products with high negative externality. (C) 2018 The Authors. Published by Elsevier B.V.