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Incorporation of life cycle emissions and carbon price uncertainty into the supply chain network management of PVC production

Author

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  • Hongtao Ren

    (East China University of Science and Technology)

  • Wenji Zhou

    (International Institute for Applied Systems Analysis
    Norwegian University of Science and Technology)

  • Marek Makowski

    (International Institute for Applied Systems Analysis
    Polish Academy of Sciences)

  • Hongbin Yan

    (East China University of Science and Technology)

  • Yadong Yu

    (East China University of Science and Technology)

  • Tieju Ma

    (East China University of Science and Technology
    International Institute for Applied Systems Analysis)

Abstract

Emissions trading schemes have been widely implemented by many countries to enforce the “cap and trade” concept for mitigating CO2 emissions. Thus, the carbon price influences the manufacturing costs in all stages of production, recycling, and disposal. Consideration of the carbon price is especially important for the economic efficiency of the downstream manufacturing sectors, such as in plastic product manufacturing, to substantially reduce their costs through the design and management of networked supply chains, which results in purchasing feedstocks from different technological routes, as well as choosing plants, warehouses and various transportation modes with diverse CO2 emission intensities. Supporting the decision-making in such situations requires the integration of life cycle analysis and networked supply chain management methodologies with an analysis of the carbon-market uncertainties. Such approaches have not been sufficiently quantified in the existing literature. This study presents a stochastic mixed-integer linear programming model developed for polyvinyl chloride pipe manufacturing in China, which is used to evaluate the effects of the life cycle emissions of procurement on the whole supply chain under carbon market uncertainty. Our results illustrate that the carbon market uncertainty would not only significantly influence the carbon-intensive production sectors but also the downstream manufacturing sectors. The five scenarios with carbon price variation exhibit distinctively different choices in procurement and supply chain configurations, as well as in their performances regarding total emissions and associated costs.

Suggested Citation

  • Hongtao Ren & Wenji Zhou & Marek Makowski & Hongbin Yan & Yadong Yu & Tieju Ma, 2021. "Incorporation of life cycle emissions and carbon price uncertainty into the supply chain network management of PVC production," Annals of Operations Research, Springer, vol. 300(2), pages 601-620, May.
  • Handle: RePEc:spr:annopr:v:300:y:2021:i:2:d:10.1007_s10479-019-03365-1
    DOI: 10.1007/s10479-019-03365-1
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    Cited by:

    1. Changping Zhao & Juanjuan Sun & Yun Zhang, 2022. "A Study of the Drivers of Decarbonization in the Plastics Supply Chain in the Post-COVID-19 Era," Sustainability, MDPI, vol. 14(23), pages 1-20, November.
    2. Ding, Bingqing & Makowski, Marek & Nahorski, Zbigniew & Ren, Hongtao & Ma, Tieju, 2022. "Optimizing the technology pathway of China's liquid fuel production considering uncertain oil prices: A robust programming model," Energy Economics, Elsevier, vol. 115(C).

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