Abstract
In this paper, a closed-loop supply chain (CLSC) model with part and module inventory centers is proposed and optimized. Part supplier, module assembler, manufacturer, distribution center and retailer in forward logistics (FL) and customer, collection center, recovery center, secondary market and waste disposal center in reverse logistics (RL) are taken into consideration for constructing the proposed CLSC model. Especially, for the reuses of recovered part and module, part and module inventory centers are also considered. The proposed CLSC model is represented by a mathematical formulation, which is to minimize the sum of various costs resulting from each stage of FL and RL under satisfying various constraints. The mathematical formulation is implemented by an adaptive hybrid genetic algorithm (a-HGA) approach. In numerical experiment, various scales of the proposed CLSC model are presented and the performance of the a-HGA approach are compared with those of several conventional approaches. In conclusion, the efficiency of the proposed CLSC model and the a-HGA approach are proved.
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