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Optimal Control Policy of Unreliable Production Systems Generating Greenhouse Gas Emission

Author

Listed:
  • Jean-Pierre Kenné

    (Mechanical Engineering Department, École de Technologie Supérieure, Production System Design and Control Laboratory, University of Quebec, 1100 Notre-Dame West, Montreal, QC H3C 1K3, Canada)

  • Ali Gharbi

    (Systems Engineering Department, École de Technologie Supérieure, Production System Design and Control Laboratory, University of Quebec, 1100 Notre-Dame West, Montreal, QC H3C 1K3, Canada)

  • Armel Leonel Kuegoua Takengny

    (Mechanical Engineering Department, École de Technologie Supérieure, Production System Design and Control Laboratory, University of Quebec, 1100 Notre-Dame West, Montreal, QC H3C 1K3, Canada)

  • Morad Assid

    (Systems Engineering Department, École de Technologie Supérieure, Production System Design and Control Laboratory, University of Quebec, 1100 Notre-Dame West, Montreal, QC H3C 1K3, Canada)

Abstract

The current paper addresses the production planning problem of unreliable manufacturing systems generating greenhouse gas (GHG) emissions, producing a single product type in a dynamic and stochastic context. This work aims to develop a control policy that minimizes the sum of backlog, inventory, and emission costs. To achieve this goal, the stochastic optimal control theory is used to develop the optimality conditions solved by numerical techniques to establish the control policy structure. Sensitivity analyses are provided to depict and validate the obtained structure of the production policy characterized by multiple thresholds, which regulate the production rate with the emission and inventory levels. Furthermore, the performance of the developed optimal control policy is compared with the most pertinent ones identified in the literature. The developed optimal control policy outperformed those in the literature by significantly reducing the total cost incurred by these policies. Finally, the developed control policy is implemented to equip the manager of the considered manufacturing system with a practical and robust decision-support tool.

Suggested Citation

  • Jean-Pierre Kenné & Ali Gharbi & Armel Leonel Kuegoua Takengny & Morad Assid, 2024. "Optimal Control Policy of Unreliable Production Systems Generating Greenhouse Gas Emission," Sustainability, MDPI, vol. 16(13), pages 1-20, July.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5760-:d:1429883
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    References listed on IDEAS

    as
    1. Xiting Gong & Sean X. Zhou, 2013. "Optimal Production Planning with Emissions Trading," Operations Research, INFORMS, vol. 61(4), pages 908-924, August.
    2. Sadok Turki & Nidhal Rezg, 2018. "Impact of the Quality of Returned-Used Products on the Optimal Design of a Manufacturing/Remanufacturing System under Carbon Emissions Constraints," Sustainability, MDPI, vol. 10(9), pages 1-21, September.
    3. Brouhle, Keith & Griffiths, Charles & Wolverton, Ann, 2009. "Evaluating the role of EPA policy levers: An examination of a voluntary program and regulatory threat in the metal-finishing industry," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 166-181, March.
    4. Behnamfar, Reza & Sajadi, Seyed Mojtaba & Tootoonchy, Mahshid, 2022. "Developing environmental hedging point policy with variable demand: A machine learning approach," International Journal of Production Economics, Elsevier, vol. 254(C).
    5. Jun Yang & Houmina Yan & M.I. Taksar, 2000. "Optimal Production and Setup Scheduling: A One-Machine, Two-Product System," Annals of Operations Research, Springer, vol. 98(1), pages 291-311, December.
    6. Kai Kang & Wei Pu & Yanfang Ma, 2018. "A Dynamic Programming-Based Sustainable Inventory-Allocation Planning Problem with Carbon Emissions and Defective Item Disposal under a Fuzzy Random Environment," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-18, February.
    7. Zakeri, Atefe & Dehghanian, Farzad & Fahimnia, Behnam & Sarkis, Joseph, 2015. "Carbon pricing versus emissions trading: A supply chain planning perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 197-205.
    8. A. Ben-Salem & A. Gharbi & A. Hajji, 2015. "An Environmental Hedging Point Policy to control production rate and emissions in unreliable manufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 435-450, January.
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