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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jia Mao & Jinyuan Cheng & Xiangyu Li & Honggang Zhao & Ciyun Lin, 2023. "Optimal Design of Reverse Logistics Recycling Network for Express Packaging Considering Carbon Emissions," Mathematics, MDPI, vol. 11(4), pages 1-32, February.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:4:p:812-:d:1058598
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    References listed on IDEAS

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    1. Yanlu Guo & Gongli Luo & Guisheng Hou, 2021. "Research on the Evolution of the Express Packaging Recycling Strategy, Considering Government Subsidies and Synergy Benefits," IJERPH, MDPI, vol. 18(3), pages 1-25, January.
    2. Sisi Wu & Xuan Gong & Yunfei Wang & Jian Cao, 2022. "Consumer Cognition and Management Perspective on Express Packaging Pollution," IJERPH, MDPI, vol. 19(8), pages 1-23, April.
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    Cited by:

    1. Ying Zhan & Yue Sun & Junfei Xu, 2024. "Impact of Reward Mechanisms on Consumers’ Willingness to Use Intelligent Express Packaging Recycling Cabinets: A Case Study in China," Sustainability, MDPI, vol. 16(10), pages 1-20, May.
    2. Ying Zhan & Yue Sun & Junfei Xu, 2023. "A Study on the Recycling Classification Behavior of Express Packaging Based on UTAUT under “Dual Carbon” Targets," Sustainability, MDPI, vol. 15(15), pages 1-22, July.

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