IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i15p11781-d1207270.html
   My bibliography  Save this article

Design of Reverse Network for Recyclable Packaging Boxes under Uncertainties

Author

Listed:
  • Huailian Lin

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Shuqiao Wu

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Si Zhang

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Wenting Liu

    (School of Business, Singapore University of Social Sciences, Singapore 599494, Singapore)

Abstract

The increasing number of disposable packaging boxes has caused a huge waste of resources and environmental problems. In order to promote the effective use of sustainable express packaging, this study builds a reverse network of recyclable express packaging boxes for e-commerce businesses with self-established logistics. Considering the uncertainties of demand, return rate, retention rate and recovery rate, a stochastic programming model is proposed to determine the location of collection points and recovery centers in the supply chain network, as well as the flow of recycling boxes, with the objective of minimizing the total cost. Furthermore, an improved priority-based tabu search algorithm is proposed to solve the model. The feasibility and operability of the model are verified via a benchmark function experiment and numerical experiment. This study provides important support for the sustainable development of the express delivery industry and helps to protect the environment.

Suggested Citation

  • Huailian Lin & Shuqiao Wu & Si Zhang & Wenting Liu, 2023. "Design of Reverse Network for Recyclable Packaging Boxes under Uncertainties," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11781-:d:1207270
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/15/11781/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/15/11781/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tianji Yang & Chao Fu & Xinbao Liu & Jun Pei & Lin Liu & Panos M. Pardalos, 2018. "Closed-loop supply chain inventory management with recovery information of reusable containers," Journal of Combinatorial Optimization, Springer, vol. 35(1), pages 266-292, January.
    2. Irena Bates & Ivana Plazonić & Valentina Radić Seleš & Katja Petric Maretić & Maja Rudolf, 2023. "Usability of Discarded Lignocellulosic Fibers in Paper for Secondary Green Packaging and Labeling," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    3. Zhang, X. & Liu, X., 2022. "A two-stage robust model for express service network design with surging demand," European Journal of Operational Research, Elsevier, vol. 299(1), pages 154-167.
    4. Mirco Peron & Giuseppe Fragapane & Fabio Sgarbossa & Michael Kay, 2020. "Digital Facility Layout Planning," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Łukasz Hadaś & Roman Domański & Hubert Wojciechowski & Arkadiusz Majewski & Jacek Lewandowicz, 2024. "The Role of Packaging in Sustainable Omnichannel Returns—The Perspective of Young Consumers in Poland," Sustainability, MDPI, vol. 16(6), pages 1-18, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeoung Yul Lee & Ilkhom Okmirzaevich Irisboev & Yeon-Sik Ryu, 2021. "Literature Review on Digitalization in Facilities Management and Facilities Management Performance Measurement: Contribution of Industry 4.0 in the Global Era," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
    2. Li, Siqiao & Zhu, Xiaoning & Shang, Pan & Li, Tianqi & Liu, Wenqian, 2023. "Optimizing a shared freight and passenger high-speed railway system: A multi-commodity flow formulation with Benders decomposition solution approach," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 1-31.
    3. Arindam Das, 2023. "The Relationship between International Trade in Industry 4.0 Products and National-Level Sustainability Performance: An Empirical Investigation," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    4. Meiling Li & Lijie Zhang & Zhuangzhuang Zhang, 2023. "Impact of Digital Economy on Inter-Regional Trade: An Empirical Analysis in China," Sustainability, MDPI, vol. 15(15), pages 1-22, August.
    5. Veera Babu Ramakurthi & Vijaya Kumar Manupati & Leonilde Varela & Goran Putnik, 2023. "Leveraging Blockchain to Support Collaborative Distributed Manufacturing Scheduling," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    6. Lorena Espina-Romero & Jesús Guerrero-Alcedo, 2022. "Fields Touched by Digitalization: Analysis of Scientific Activity in Scopus," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
    7. Donggi Kim & Keuntae Cho, 2022. "Digital Transformation Characteristics of the Semiconductor Industry Ecosystem," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    8. Chunmei Ma & Dan Huang, 2020. "Research on the impact of green innovation alliance mode on decision-making of two-cycle closed-loop supply chain," Journal of Combinatorial Optimization, Springer, vol. 39(2), pages 519-546, February.
    9. László Péter Pusztai & Lajos Nagy & István Budai, 2023. "A Risk Management Framework for Industry 4.0 Environment," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    10. Yan Wang & Ping Han, 2023. "Digital Transformation, Service-Oriented Manufacturing, and Total Factor Productivity: Evidence from A-Share Listed Companies in China," Sustainability, MDPI, vol. 15(13), pages 1-24, June.
    11. Huilin Yao & Rizhao Gong & Zhihui Yuan, 2022. "Multi-Oligopoly Sequential Pricing Mechanisms and Their Game Analysis in Raw Material Supply Chains," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
    12. Shuangjie Li & Huifang E & Liming Wang & Huidan Xue, 2023. "Factor Misallocation and Optimization in China’s Manufacturing Industry," Sustainability, MDPI, vol. 15(5), pages 1-21, February.
    13. Pablo Becerra & Josefa Mula & Raquel Sanchis, 2022. "Sustainable Inventory Management in Supply Chains: Trends and Further Research," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    14. Yongqiang Su & Jinfa Shi & Manman Zhang, 2022. "Research on the Construction and Measurement of the HQDMI Evaluation Index System—A Case Study of China," Sustainability, MDPI, vol. 14(22), pages 1-30, November.
    15. Man Yang & Tao Zhang, 2023. "Demand forecasting and information sharing of a green supply chain considering data company," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-28, July.
    16. Xiaoting Shang & Huayong Niu, 2023. "Analysis of the Spatiotemporal Evolution and Driving Factors of China’s Digital Economy Development Based on ESDA and GM-GWR Model," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    17. Jiaqi Chang & Qingxin Lan & Wan Tang & Hailong Chen & Jun Liu & Yunpeng Duan, 2023. "Research on the Impact of Digital Economy on Manufacturing Total Factor Productivity," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    18. Tan, Weng Chun & Sidhu, Manjit Singh, 2022. "Review of RFID and IoT integration in supply chain management," Operations Research Perspectives, Elsevier, vol. 9(C).
    19. Ting Zhu & Xiaqing Chen & Wenwen Zhang & Basil Sharp, 2023. "Analysis of the Spatial–Temporal Evolution of the Digital Economy and Its Impact on the Employment Structure in China from 2001 to 2020," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    20. Alikhani, Reza & Eskandarpour, Majid & Jahani, Hamed, 2023. "Collaborative distribution network design with surging demand and facility disruptions," International Journal of Production Economics, Elsevier, vol. 262(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11781-:d:1207270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.