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Supply chain models with greenhouse gases emissions, energy usage, imperfect process under different coordination decisions

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  • Marchi, B.
  • Zanoni, S.
  • Zavanella, L.E.
  • Jaber, M.Y.

Abstract

Environmental issues, mainly greenhouse gas (GHG) emissions, are in large part the result of the excessive use of energy in production systems. The scarcity of resources, governmental regulations, and public awareness about sustainability make them expensive for companies. The speed of producing items (production rate) impacts GHG emissions generation in manufacturing, i.e., usually faster production results in more emissions, which is controllable in many cases. The production rate also affects the process quality and reliability; i.e., fast production speeds deteriorate the system fast, resulting in reworking defective items and machine failure. Such quality and reliability issues increase energy consumption and subsequently costs. This paper develops two-level (vendor-buyer) supply chain models that tackle these issues. It considers two coordinated policies: classical and vendor-managed inventory with consignment stock (VMI-CS), where the objective is to find the values of the decision variables that yield the minimum total supply chain cost. It includes the costs of holding inventory, GHG emissions and tax, energy usage, product and process quality, and transportation operations. The decision variables are the order quantity, the number of shipments, and the production rate. The paper compares the numerical results of the two coordination policies. It also provides managerial insights on the economic and environmental performance of the supply chains.

Suggested Citation

  • Marchi, B. & Zanoni, S. & Zavanella, L.E. & Jaber, M.Y., 2019. "Supply chain models with greenhouse gases emissions, energy usage, imperfect process under different coordination decisions," International Journal of Production Economics, Elsevier, vol. 211(C), pages 145-153.
  • Handle: RePEc:eee:proeco:v:211:y:2019:i:c:p:145-153
    DOI: 10.1016/j.ijpe.2019.01.017
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    References listed on IDEAS

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    7. Vandana & Shiv Raj Singh & Mitali Sarkar & Biswajit Sarkar, 2023. "Effect of Learning and Forgetting on Inventory Model under Carbon Emission and Agile Manufacturing," Mathematics, MDPI, vol. 11(2), pages 1-20, January.
    8. Shao, Shuai & Xu, Le & Yang, Lili & Yu, Dianfan, 2024. "How do energy-saving policies improve environmental quality: Evidence from China’s Top 10,000 energy-consuming enterprises program," World Development, Elsevier, vol. 175(C).
    9. Mahapatra, Santosh K. & Schoenherr, Tobias & Jayaram, Jayanth, 2021. "An assessment of factors contributing to firms’ carbon footprint reduction efforts," International Journal of Production Economics, Elsevier, vol. 235(C).
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    11. Song, Yazhi & Li, Yin & Liu, Tiansen, 2023. "Carbon asset remolding and potential benefit measurement of machinery products in the light of lean production and low-carbon investment," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
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    14. Blanka Tundys & Tomasz Wiśniewski, 2021. "Simulation-Based Analysis of Greenhouse Gas Emissions in Sustainable Supply Chains—Re-Design in an Approach to Supply Chain Strategy," Energies, MDPI, vol. 14(12), pages 1-17, June.
    15. Wakhid Ahmad Jauhari & I Nyoman Pujawan & Mokh Suef, 2023. "Sustainable inventory management with hybrid production system and investment to reduce defects," Annals of Operations Research, Springer, vol. 324(1), pages 543-572, May.
    16. Asif Iqbal Malik & Byung Soo Kim, 2020. "A Constrained Production System Involving Production Flexibility and Carbon Emissions," Mathematics, MDPI, vol. 8(2), pages 1-21, February.
    17. Li Li & Weimin Li, 2022. "The Promoting Effect of Green Technology Innovations on Sustainable Supply Chain Development: Evidence from China’s Transport Sector," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    18. Jauhari, Wakhid Ahmad & Adam, Niimas Ayu Frensilia Putri & Rosyidi, Cucuk Nur & Pujawan, I Nyoman & Shah, Nita H., 2020. "A closed-loop supply chain model with rework, waste disposal, and carbon emissions," Operations Research Perspectives, Elsevier, vol. 7(C).
    19. Basim S. O. Alsaedi & Osama Abdulaziz Alamri & Mahesh Kumar Jayaswal & Mandeep Mittal, 2023. "A Sustainable Green Supply Chain Model with Carbon Emissions for Defective Items under Learning in a Fuzzy Environment," Mathematics, MDPI, vol. 11(2), pages 1-36, January.
    20. Xia, Jing & Niu, Wenju, 2021. "Carbon-reducing contract design for a supply chain with environmental responsibility under asymmetric information," Omega, Elsevier, vol. 102(C).

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