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Joint production, transportation, and maintenance in downstream fuel supply chain

Author

Listed:
  • Kamar Diaz
  • Mohamed Ali Kammoun
  • Zied Hajej
  • Naoufal Sefiani
  • Maria Francesca Milazzo

Abstract

This paper presents an integrated production, maintenance, and transportation strategy for a multi-site, multi-demand, multi-tank fuel production system. Firstly, each site’s economic fuel production plan is developed under a random demand and service level. Then, a transportation plan is proposed to collaborate between sites in case of unavailability site or unmet needs, minimizing the total cost. According to the correlation between production and maintenance, a periodically preventive maintenance strategy is developed for both refining machines and storage tanks, while minimizing the incurred costs by considering the influence of fuel production rate on their failure rates. Additionally, in this study, experimental tests are performed on an industrial tank, based on the real-life case of fuel companies, to investigate the tanks’ degradation due to corrosion phenomena. The resolution complexity of the analytical model arises from its stochastic nature due to random demands. Hence, a transformation to a deterministic form is performed. Numerical examples and a sensitivity study are presented to illustrate the effectiveness of the proposed methodology and the obtained results.

Suggested Citation

  • Kamar Diaz & Mohamed Ali Kammoun & Zied Hajej & Naoufal Sefiani & Maria Francesca Milazzo, 2025. "Joint production, transportation, and maintenance in downstream fuel supply chain," Journal of Risk and Reliability, , vol. 239(2), pages 397-415, April.
    • Handle: RePEc:sae:risrel:v:239:y:2025:i:2:p:397-415
    DOI: 10.1177/1748006X241229518
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    References listed on IDEAS

    as
    1. Zied Hajej & Nidhal Rezg & Ali Gharbi, 2017. "Improved preventive maintenance in the framework of forecasting problem under subcontractor constraint," International Journal of Production Research, Taylor & Francis Journals, vol. 55(16), pages 4557-4600, August.
    2. Carrese, Stefano & Cuneo, Valerio & Nigro, Marialisa & Pizzuti, Raffaele & Ardito, Cosimo Federico & Marseglia, Guido, 2022. "Optimization of downstream fuel logistics based on road infrastructure conditions and exposure to accident events," Transport Policy, Elsevier, vol. 124(C), pages 96-105.
    3. Hongsheng Su & Yifan Zhao & Xueqian Wang, 2023. "Analysis of a State Degradation Model and Preventive Maintenance Strategies for Wind Turbine Generators Based on Stochastic Differential Equations," Mathematics, MDPI, vol. 11(12), pages 1-20, June.
    4. Zhang, Nan & Cai, Kaiquan & Deng, Yingjun & Zhang, Jun, 2023. "Determining the optimal production–maintenance policy of a parallel production system with stochastically interacted yield and deterioration," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    5. Shahraki, Ameneh Forouzandeh & Yadav, Om Prakash & Vogiatzis, Chrysafis, 2020. "Selective maintenance optimization for multi-state systems considering stochastically dependent components and stochastic imperfect maintenance actions," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    6. Zied Hajej & Rezg Nidhal & Chelbi Anis & Maryem Bouzoubaa, 2020. "An optimal integrated production and maintenance strategy for a multi-wind turbines system," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6417-6440, November.
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