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Production Inventory Optimization Considering Direct and Indirect Carbon Emissions under a Cap-and-Trade Regulation

Author

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  • Yosef Daryanto

    (Department of Industrial Engineering, Universitas Atma Jaya Yogyakarta, Yogyakarta 55281, Indonesia)

  • Djoko Setyanto

    (Department of Professional Engineer Certification, Faculty of Engineering, Atma Jaya Catholic University of Indonesia, Jakarta 12930, Indonesia)

Abstract

Background : The latest global agreement on net-zero emissions encourages new studies on production inventory optimization that promote carbon emissions reduction without harming a company’s profit performance, particularly because certain carbon-pricing regulations bind manufacturing companies. Methods : This study aims to develop a production inventory model that considers direct and indirect emissions in three emission scopes. It incorporates emissions from production, material handling, transportation, and waste disposal for further treatment under a carbon cap-and-trade regulation. With the help of Maple software, a convex total cost function was solved. Results : The results show that the optimum production quantity depends on the values of demand, setup cost, holding cost, fixed cost per delivery, fixed cost for waste disposal, and other parameters related to carbon prices. This study also found that the total cost was highly dependent on the values of the carbon cap, carbon price, and delivery distance. Meanwhile, changes in the delivery distance and fuel emissions standard significantly impacted total emissions. Conclusions : The proposed model can guide manufacturing companies in setting the optimum production quantity per cycle. Moreover, they must carefully manage the delivery and setting of the carbon cap and carbon price from the government.

Suggested Citation

  • Yosef Daryanto & Djoko Setyanto, 2023. "Production Inventory Optimization Considering Direct and Indirect Carbon Emissions under a Cap-and-Trade Regulation," Logistics, MDPI, vol. 7(1), pages 1-18, March.
  • Handle: RePEc:gam:jlogis:v:7:y:2023:i:1:p:16-:d:1096607
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    References listed on IDEAS

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    1. Rubayet Karim & Koichi Nakade, 2022. "A Literature Review on the Sustainable EPQ Model, Focusing on Carbon Emissions and Product Recycling," Logistics, MDPI, vol. 6(3), pages 1-16, August.
    2. Priyamvada & Prerna Gautam & Aditi Khanna, 2021. "Sustainable production strategies for deteriorating and imperfect quality items with an investment in preservation technology," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 910-918, October.
    3. Angappa Gunasekaran & Zahir Irani & Thanos Papadopoulos, 2014. "Modelling and analysis of sustainable operations management: certain investigations for research and applications," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(6), pages 806-823, June.
    4. YuJan Shen & KuanFu Shen & ChihTe Yang, 2019. "A Production Inventory Model for Deteriorating Items with Collaborative Preservation Technology Investment Under Carbon Tax," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    5. Noura Yassine, 2020. "A sustainable economic production model: effects of quality and emissions tax from transportation," Annals of Operations Research, Springer, vol. 290(1), pages 73-94, July.
    6. Tapan Kumar Datta, 2017. "Effect of Green Technology Investment on a Production-Inventory System with Carbon Tax," Advances in Operations Research, Hindawi, vol. 2017, pages 1-12, December.
    7. Sathaye, Nakul & Horvath, Arpad & Madanat, Samer, 2010. "Unintended impacts of increased truck loads on pavement supply-chain emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 1-15, January.
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