Optimal Design of Reverse Logistics Recycling Network for Express Packaging Considering Carbon Emissions

Jia Mao, Jinyuan Cheng, Xiangyu Li, Honggang Zhao () and Ciyun Lin
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Jia Mao: School of Transportation, Jilin University, Changchun 130022, China
Jinyuan Cheng: School of Transportation, Jilin University, Changchun 130022, China
Xiangyu Li: School of Transportation, Jilin University, Changchun 130022, China
Honggang Zhao: College of Chemical Engineering, Xinjiang Normal University, Urumqi 830054, China
Ciyun Lin: School of Transportation, Jilin University, Changchun 130022, China

Mathematics, 2023, vol. 11, issue 4, 1-32

Abstract: With the development of China’s express delivery industry, the number of express packaging has proliferated, leading to many problems such as environmental pollution and resource waste. In this paper, the process of reverse logistics network design for express packaging recycling is given as an example in the M region, and a four-level network containing primary recycling nodes, recycling centers, processing centers, and terminals is established. A candidate node selection model based on the K-means algorithm is constructed to cluster by distance from 535 courier outlets to select 15 candidate nodes of recycling centers and processing centers. A node selection model based on the NSGA-II algorithm is constructed to identify recycling centers and processing centers from 15 candidate nodes with minimizing total cost and carbon emission as the objective function, and a set of Pareto solution sets containing 43 solutions is obtained. According to the distribution of the solution set, the 43 solutions are classified into I, II, and III categories. The results indicate that the solutions corresponding to Class I and Class II solutions can be selected when the recycling system gives priority to cost, Class II and Class III solutions can be selected when the recycling system gives priority to environmental benefits, and Class III solutions can be selected when the society-wide recycling system has developed to a certain extent. In addition, this paper also randomly selects a sample solution from each of the three types of solution sets, conducts coding interpretation for site selection, vehicle selection, and treatment technology selection, and gives an example design scheme.

Keywords: express packaging; green reverse logistics; reduce carbon emissions; K-means algorithm; bi-objective model; NSGA-II algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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