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Supply Chain Design Optimization Considering Consumers’ Low-Carbon Awareness Under Carbon Tax Regulation

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Proceedings of the Fourteenth International Conference on Management Science and Engineering Management (ICMSEM 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1191))

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Abstract

The optimization problem for a two-stage supply chain consisting of a manufacturer and a retailer under the carbon tax regulation is investigated in this paper. Consumers’ low-carbon awareness level is considered in the decision models. Optimal decision policies, corresponding emissions, and profits are calculated for the decentralized decision-making mode. Under the decentralized mode, the two-stage supply-chain optimization problem is formulated as a Stackelberg game model, where the manufacturer and retailer were the leader and follower, respectively. The manufacturer decides the emission-reduction levels per product unit and the retailer decides the retail price per unit product. The optimal decisions are derived using the reverse-solution method. The influence of the regulation parameters and consumers’ low-carbon awareness level on the optimal decision policies, the corresponding emissions, and profits is discussed in detail. Finally, numerical experiments confirmed the analytical results.

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Notes

  1. 1.

    http://www.ccsassociation.org/why-ccs/industry-experience/.

  2. 2.

    http://www.mee.gov.cn/.

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Acknowledgements

This research was funded by the National Natural Science Foundation of China (grant No. 71401114), the Fundamental Research Funds for the Central Universities (Sichuan University, Grant No. skqy201524; Business School of Sichuan University, Grant No. B03).

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Authors and Affiliations

  1. Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu, 610064, People’s Republic of China

    Zhimiao Tao

Authors
  1. Zhimiao Tao
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Correspondence to Zhimiao Tao .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Jiuping Xu

  2. Academy of Sciences of Moldova, Chisinau, Moldova

    Gheorghe Duca

  3. Faculty of Math and Science, Brock University, Hamilton, ON, Canada

    Syed Ejaz Ahmed

  4. ETSI Industriales de Ciudad Real, University of Castile-La Mancha (UCLM), Ciudad Real, Spain

    Fausto Pedro García Márquez

  5. Institute of Control Systems, Azerbaijan Natl Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

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Tao, Z. (2021). Supply Chain Design Optimization Considering Consumers’ Low-Carbon Awareness Under Carbon Tax Regulation. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1191. Springer, Cham. https://doi.org/10.1007/978-3-030-49889-4_8

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