Keywords
Supply chain
Reverse logistics
Network design
Integer programming
Submitted : 2022-05-21
Accepted : 2022-06-05
Published : 2022-06-20
Abstract
The logistics industry plays an important role in circular economy. Therefore, not only economic benefits, but also environmental protection factors have to be considered in reverse logistics. This paper uses the multi-objective 0-1 mixed integer programming to establish a reverse logistics network optimization model for waste batteries. The objective function is to minimize both, logistics costs and carbon dioxide emissions. The model considers the basic settings of reverse logistics (including recycling nodes, manufacturing, and processing nodes) and the material flow between different settings. In solving the model, Lingo 14.0 is used in this paper. An actual case of a waste battery reverse logistics enterprise verifies the effectiveness of the model in this paper. The results show that the application of this model can effectively improve the operating efficiency of waste battery reverse logistics enterprises.
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