Proceedings of the
The Nineteenth International Conference on Computational Intelligence and Security (CIS 2023)
December 1 – 4, 2023, Haikou, China
Optimization of Power Batteries in Reverse Logistics Network
1School of Economics and Management, China Jiliang University, China.
2Zengsheng Town Central Primary School, China.
3Zhejiang Thermal Power Construction Co., Ltd, China, Energy Construction Group, China.
ABSTRACT
A multi-level reverse logistics network for power batteries is constructed. Considering the uncertainty of recycling quantity, direct utilization rate and recycling utilization rate, a multi-objective programming model is established from the economic and environmental perspectives. The multi-objective is transformed into a single objective by using epsilon-constraint method. Genetic algorithm is chosen to solve the problem. The effect of direct utilization rate on location selection and network cost is analyzed. The results show that: direct utilization rate has little effect on location selection. When the network is in short supply, with the increase of the direct utilization rate the network cost will decrease in the current period. when there is storage of network, with the increase of the direct utilization rate the network cost will increase in the current period.
Keywords: Multi-objective optimization, Power battery, Reverse logistic, Uncertainty, Epsilon-constraint method.
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1School of Economics and Management, China Jiliang University, China.
2Zengsheng Town Central Primary School, China.
3Zhejiang Thermal Power Construction Co., Ltd, China, Energy Construction Group, China.
ABSTRACT
A multi-level reverse logistics network for power batteries is constructed. Considering the uncertainty of recycling quantity, direct utilization rate and recycling utilization rate, a multi-objective programming model is established from the economic and environmental perspectives. The multi-objective is transformed into a single objective by using epsilon-constraint method. Genetic algorithm is chosen to solve the problem. The effect of direct utilization rate on location selection and network cost is analyzed. The results show that: direct utilization rate has little effect on location selection. When the network is in short supply, with the increase of the direct utilization rate the network cost will decrease in the current period. when there is storage of network, with the increase of the direct utilization rate the network cost will increase in the current period.
Keywords: Multi-objective optimization, Power battery, Reverse logistic, Uncertainty, Epsilon-constraint method.
Download PDF