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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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    14. 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.
    15. Lee, Jun-Yeon & Choi, Sungyong, 2021. "Supply chain investment and contracting for carbon emissions reduction: A social planner's perspective," International Journal of Production Economics, Elsevier, vol. 231(C).
    16. 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.
    17. 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).
    18. 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.
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