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Design and Analysis of Supply Chain Networks with Low Carbon Emissions

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  • Tsai-Chi Kuo

    (Chung Yuan Christian University)

  • Ming-Lang Tseng

    (Lunghwa University of Science and Technology)

  • Hsiao-Min Chen

    (Chung Yuan Christian University)

  • Ping-Shun Chen

    (Chung Yuan Christian University)

  • Po-Chen Chang

    (Chung Yuan Christian University)

Abstract

Low carbon supply chain network design is a multi-objective decision-making problem that involves a trade-off between low carbon emissions and cost. This study calculates the carbon footprint, wherein the greenhouse gases (GHGs) emissions data are based on carbon footprint standards. Many firms have redesigned their supply chain networks to reduce their GHG emissions. Furthermore, the production capacities and costs are collected and evaluated by using Pareto optimal solutions. In order to achieve the optimal solutions, a normal constraint method is used to formulate a mathematical model to meet two objectives: low carbon emissions and low cost. A case study is also presented to demonstrate the predictive ability of this model. The result shows that it is possible to reduce carbon emissions and lower cost simultaneously.

Suggested Citation

  • Tsai-Chi Kuo & Ming-Lang Tseng & Hsiao-Min Chen & Ping-Shun Chen & Po-Chen Chang, 2018. "Design and Analysis of Supply Chain Networks with Low Carbon Emissions," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1353-1374, December.
    • Handle: RePEc:kap:compec:v:52:y:2018:i:4:d:10.1007_s10614-017-9675-7
    DOI: 10.1007/s10614-017-9675-7
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    References listed on IDEAS

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    Cited by:

    1. Tsai Chi Kuo & Yile Lee, 2019. "Using Pareto Optimization to Support Supply Chain Network Design within Environmental Footprint Impact Assessment," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    2. Liangjie Xia & Yongwan Bai & Sanjoy Ghose & Juanjuan Qin, 2022. "Differential game analysis of carbon emissions reduction and promotion in a sustainable supply chain considering social preferences," Annals of Operations Research, Springer, vol. 310(1), pages 257-292, March.
    3. Yinjie Zhang & Chunxiang Guo & Liangcheng Wang, 2020. "Supply Chain Strategy Analysis of Low Carbon Subsidy Policies Based on Carbon Trading," Sustainability, MDPI, vol. 12(9), pages 1-20, April.
    4. Petchprakai Sirilertsuwan & Sébastien Thomassey & Xianyi Zeng, 2020. "A Strategic Location Decision-Making Approach for Multi-Tier Supply Chain Sustainability," Sustainability, MDPI, vol. 12(20), pages 1-37, October.

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