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Optimisation of the exploitation period of individual vehicles in freight transportation companies

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  • Redmer, Adam

Abstract

The individual vehicle replacement problem typical for freight transportation companies is discussed in the paper. Two characteristic features of such problem are that transportation companies utilise vehicles with intensity decreasing with an age of vehicles and that managers of such companies first of all take into account economical criteria when planning vehicle replacements. The paper presents a single criterion, nonlinear, deterministic and discrete mathematical model of such a problem that minimises a total exploitation and ownership costs calculated per kilometre. The exact solution procedure is proposed here. The problem is solved as a real life case study. As a result, an average, economically optimal 5-year exploitation period of vehicles has been determined.

Suggested Citation

  • Redmer, Adam, 2009. "Optimisation of the exploitation period of individual vehicles in freight transportation companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 978-987, November.
    • Handle: RePEc:eee:transe:v:45:y:2009:i:6:p:978-987
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    Citations

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    Cited by:

    1. Zhang, Le & Gu, Weihua & Fu, Liangliang & Mei, Yu & Hu, Yaohua, 2021. "A two-stage heuristic approach for fleet management optimization under time-varying demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    2. Stasko, Timon H. & Oliver Gao, H., 2012. "Developing green fleet management strategies: Repair/retrofit/replacement decisions under environmental regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1216-1226.
    3. Gao, Yongling & Leng, Mingming & Zhang, Yaping & Liang, Liping, 2022. "Incentivizing the adoption of electric vehicles in city logistics: Pricing, driving range, and usage decisions under time window policies," International Journal of Production Economics, Elsevier, vol. 245(C).
    4. Parisa Ahani & Amílcar Arantes & Rohollah Garmanjani & Sandra Melo, 2023. "Optimizing Vehicle Replacement in Sustainable Urban Freight Transportation Subject to Presence of Regulatory Measures," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    5. Guerrero, Sebastian E. & Madanat, Samer M. & Leachman, Robert C., 2013. "The Trucking Sector Optimization Model: A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 59(C), pages 85-107.
    6. Mateusz Oszczypała & Jarosław Ziółkowski & Jerzy Małachowski, 2023. "Modelling the Operation Process of Light Utility Vehicles in Transport Systems Using Monte Carlo Simulation and Semi-Markov Approach," Energies, MDPI, vol. 16(5), pages 1-31, February.

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