IDEAS home Printed from https://ideas.repec.org/a/igg/jisscm/v11y2018i3p1-21.html
   My bibliography  Save this article

Multi-Objective Optimization for Green Dual-Channel Supply Chain Network Design Considering Transportation Mode Selection

Author

Listed:
  • Hong Zhang

    (Business School, Hunan University, Changsha, China)

  • Kuan Yang

    (Business School, Hunan University, Changsha, China)

Abstract

A well-designed supply chain network should not only meet the efficient cost but also realize the sustainable effect on environment. The purpose of this article is to develop a multi-objective model to capture the trade-off between total cost and environmental performance in the green dual-channel supply chain network. Moreover, the transportation mode has been considered as a decision variable. With regard to the complexity of such network, a new swarm intelligence algorithm known as a multi-objective particle swarm optimization (MOPSO) algorithm has been employed to tackle this problem. The effectiveness of the present model and approach is evaluated by a numerical experiment, and the results show that the added environmental performance is actually proportional with the increased cost. Additionally, the comparison between different mode decisions shows that a better trade-off between two objectives will be obtained when considering the transportation mode selection.

Suggested Citation

  • Hong Zhang & Kuan Yang, 2018. "Multi-Objective Optimization for Green Dual-Channel Supply Chain Network Design Considering Transportation Mode Selection," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 11(3), pages 1-21, July.
    • Handle: RePEc:igg:jisscm:v:11:y:2018:i:3:p:1-21
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSCM.2018070101
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Blanka Tundys & Tomasz Wisniewski & Andrzej Rzeczycki & Urszula Chrachol-Barczyk & Agnieszka Pokorska, 2020. "Vulnerability of Sustainable Supply Chains: Demand-Side Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 123-136.
    2. Batool Madani & Afef Saihi & Akmal Abdelfatah, 2024. "A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends," Sustainability, MDPI, vol. 16(8), pages 1-33, April.

    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:igg:jisscm:v:11:y:2018:i:3:p:1-21. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.