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Policy insights from a green supply chain optimisation model

Author

Listed:
  • Behnam Fahimnia
  • Joseph Sarkis
  • John Boland
  • Mohsen Reisi
  • Mark Goh

Abstract

This paper introduces a practical supply chain optimisation model that incorporates both economic and carbon emission objectives. The proposed model is implemented to examine the possible economic and environmental trade-offs for various carbon-pricing and fuel-pricing scenarios in an actual case company representing the discrete, durable parts manufacturing sector. Analysis of the numerical results provides important managerial implications and policy insights. For industry practitioners, the findings can assist in identifying the critical activities along the supply chain on which to focus in order to minimise the cost implications of a carbon-pricing regulation. For related policy-makers, the findings provide insights on how carbon should be priced to make meaningful impacts on emissions reduction while matching variations in fuel prices.

Suggested Citation

  • Behnam Fahimnia & Joseph Sarkis & John Boland & Mohsen Reisi & Mark Goh, 2015. "Policy insights from a green supply chain optimisation model," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6522-6533, November.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:21:p:6522-6533
    DOI: 10.1080/00207543.2014.958592
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    Citations

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    Cited by:

    1. Zhitao Xu & Adel Elomri & Shaligram Pokharel & Fatih Mutlu, 2019. "The Design of Green Supply Chains under Carbon Policies: A Literature Review of Quantitative Models," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    2. Adrian SOLOMON & Panagiotis KETIKIDIS & Felicia SIAVALAS, 2017. "Institutional Co-Creation Interfaces for Innovation Diffusion during Disaster Management," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 5(1), pages 77-95, March.
    3. Waltho, Cynthia & Elhedhli, Samir & Gzara, Fatma, 2019. "Green supply chain network design: A review focused on policy adoption and emission quantification," International Journal of Production Economics, Elsevier, vol. 208(C), pages 305-318.
    4. Peng Li & Di Wu, 2021. "A Multi-Echelon Network Design in a Dual-Channel Reverse Supply Chain Considering Consumer Preference," IJERPH, MDPI, vol. 18(9), pages 1-24, April.
    5. Yugang Yu & Xue Li & Xiaoping Xu, 2022. "Reselling or marketplace mode for an online platform: the choice between cap-and-trade and carbon tax regulation," Annals of Operations Research, Springer, vol. 310(1), pages 293-329, March.
    6. Shih-Hsien Tseng & Hui-Ming Wee & Samuel Reong & Chun-I Wu, 2019. "Considering JIT in Assigning Task for Return Vehicle in Green Supply Chain," Sustainability, MDPI, vol. 11(22), pages 1-23, November.
    7. Hui Huang & Juan Zhang & Xuan Ren & Xiang Zhou, 2018. "Greenness and Pricing Decisions of Cooperative Supply Chains Considering Altruistic Preferences," IJERPH, MDPI, vol. 16(1), pages 1-31, December.
    8. Tognetti, Alice & Grosse-Ruyken, Pan Theo & Wagner, Stephan M., 2015. "Green supply chain network optimization and the trade-off between environmental and economic objectives," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 385-392.
    9. Ozgur Kabadurmus & Mehmet S. Erdogan, 2020. "Sustainable, multimodal and reliable supply chain design," Annals of Operations Research, Springer, vol. 292(1), pages 47-70, September.

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