IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3162471.html
   My bibliography  Save this article

Sustainable Supply Chain Network Design with Carbon Footprint Consideration: A Case Study in China

Author

Listed:
  • Yue Jiang
  • Yang Zhao
  • Mengyuan Dong
  • Shuihua Han

Abstract

With the environment concern increasing, corporations are facing new challenges on carbon management in supply chain network. In this paper, environmental consideration is introduced to traditional supply chain management, and the sustainable supply chain (SSC) is designed considering carbon footprint. We develop a mixed integer linear programming (MILP) model to get the optimal decisions on partner selection, technology selection, and transportation mode selection, as well as material procurement, product supply, and recovery mode. For validating the model, a beverage company in China is used. We also analyze the impact of supply chain uncertainties such as carbon emission price and recovery rate of returned products on the decision of SSC design.

Suggested Citation

  • Yue Jiang & Yang Zhao & Mengyuan Dong & Shuihua Han, 2019. "Sustainable Supply Chain Network Design with Carbon Footprint Consideration: A Case Study in China," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-19, July.
  • Handle: RePEc:hin:jnlmpe:3162471
    DOI: 10.1155/2019/3162471
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/3162471.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2019/3162471.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2019/3162471?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Chia-Nan Wang & Nhat-Luong Nhieu & Yu-Chi Chung & Huynh-Tram Pham, 2021. "Multi-Objective Optimization Models for Sustainable Perishable Intermodal Multi-Product Networks with Delivery Time Window," Mathematics, MDPI, vol. 9(4), pages 1-25, February.
    2. Dindayal Agrawal & Ashish Dwivedi & Anchal Patil & Sanjoy Kumar Paul, 2023. "Impediments of product recovery in circular supply chains: Implications for sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1618-1637, June.
    3. Surendra Vikram Singh Padiyar & Vandana & Shiv Raj Singh & Dipti Singh & Mitali Sarkar & Bikash Koli Dey & Biswajit Sarkar, 2022. "Three-Echelon Supply Chain Management with Deteriorated Products under the Effect of Inflation," Mathematics, MDPI, vol. 11(1), pages 1-19, December.

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:3162471. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.