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Study of logistics network optimization model considering carbon emissions

Author

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  • Yong Ye

    (Anhui Agriculture University)

  • Jing Wang

    (Anhui Agriculture University)

Abstract

Carbon emissions trading is a mitigation of greenhouse important measures, as well as one of the hot researches. As large energy consumption, reducing emissions of carbon during the development of logistics plays crucial role in the development of low carbon economy. The establishment of a multi-level logistics network optimization model was divided into two stages: the first stage is to realize the optimization of each network node in the supply chain, and the second stage is about the optimization of logistics distribution path. Considering coefficient of carbon emissions and integrating it into the objective function, it used Lingo software respectively to analyze numerical of the benefits of whether considering carbon emissions or not in logistics network. The results of two cases show that the design of logistics network which considering carbon emissions of can effectively reduce logistics more significantly enhance the social benefit of logistics and it can also conform the basic state policy of sustainable development in other words. Finally, logistics network optimization model considering carbon emissions has more extensive practical significance.

Suggested Citation

  • Yong Ye & Jing Wang, 2017. "Study of logistics network optimization model considering carbon emissions," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1102-1108, November.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-017-0576-x
    DOI: 10.1007/s13198-017-0576-x
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    References listed on IDEAS

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    1. Sundarakani, Balan & de Souza, Robert & Goh, Mark & Wagner, Stephan M. & Manikandan, Sushmera, 2010. "Modeling carbon footprints across the supply chain," International Journal of Production Economics, Elsevier, vol. 128(1), pages 43-50, November.
    2. Meng, Bo & Xue, Jinjun & Feng, Kuishuang & Guan, Dabo & Fu, Xue, 2013. "China’s inter-regional spillover of carbon emissions and domestic supply chains," Energy Policy, Elsevier, vol. 61(C), pages 1305-1321.
    3. Tang, Shaolong & Wang, Wenjie & Yan, Hong & Hao, Gang, 2015. "Low carbon logistics: Reducing shipment frequency to cut carbon emissions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 339-350.
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    Cited by:

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