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

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  • 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
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    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.

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