抄録
In this paper, a methodology for reinforcing sustainability in closed-loop supply chain (CLSC) model is proposed. For the methodology, economic, environmental and social factors are simultaneously considered in the CLSC model. The minimization of total cost, the minimization of total amount of CO2 emission, and the maximization of total social influence are used for economic, environmental, and social factors, respectively. The CLSC model is represented as a mathematical formulation. Since the three factors are considered as each objective in the mathematical formulation, the CLSC model can be a multi-objective optimization problem. A hybrid genetic algorithm (HGA) approach, one of meta-heuristics approaches, is implemented for solving the CLSC model. In numerical experiment, some scales of the CLSC model are presented and the performance of the HGA approach is compared with those of some conventional approaches. The experimental results prove that the HGA approach outperforms the competing approaches.
