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Modeling and solving the short-term car rental logistics problem

Author

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  • Fink, Andreas
  • Reiners, Torsten

Abstract

Logistics management in the car rental business involves short-term decisions about the transportation and deployment of cars with regard to optimizing fleet utilization while maintaining a high service level. We model and solve this problem by means of minimum cost network flow optimization under consideration of essential practical needs such as multi-period planning, a country-wide network, customized transportation relations, fleeting and defleeting, and car groups with partial substitutability. Experiments were conducted on substantial real-world data, using a simulation model to assess optimization results for different scenarios. The results indicate that the proposed approach can significantly improve efficiency.

Suggested Citation

  • Fink, Andreas & Reiners, Torsten, 2006. "Modeling and solving the short-term car rental logistics problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(4), pages 272-292, July.
    • Handle: RePEc:eee:transe:v:42:y:2006:i:4:p:272-292
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    Citations

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    Cited by:

    1. Pazour, Jennifer A. & Roy, Debjit, 2012. "Minimizing Customer Waiting Costs for Rental Vehicle Providers using Threshold Reservation Policies," IIMA Working Papers WP2012-12-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    2. Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando, 2017. "Fleet and revenue management in car rental companies: A literature review and an integrated conceptual framework," Omega, Elsevier, vol. 71(C), pages 11-26.
    3. Illgen, Stefan & Höck, Michael, 2019. "Literature review of the vehicle relocation problem in one-way car sharing networks," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 193-204.
    4. Martin, Layla & Minner, Stefan, 2021. "Feature-based selection of carsharing relocation modes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    5. Li, Dong & Pang, Zhan, 2017. "Dynamic booking control for car rental revenue management: A decomposition approach," European Journal of Operational Research, Elsevier, vol. 256(3), pages 850-867.
    6. Monnerat, Filipe & Dias, Joana & Alves, Maria João, 2019. "Fleet management: A vehicle and driver assignment model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 64-75.
    7. Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando, 2018. "Integrating pricing and capacity decisions in car rental: A matheuristic approach," Operations Research Perspectives, Elsevier, vol. 5(C), pages 334-356.
    8. A T Ernst & M Horn & P Kilby & M Krishnamoorthy, 2010. "Dynamic scheduling of recreational rental vehicles with revenue management extensions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(7), pages 1133-1143, July.
    9. Sebastian Koch & Jochen Gönsch & Claudius Steinhardt, 2017. "Dynamic Programming Decomposition for Choice-Based Revenue Management with Flexible Products," Transportation Science, INFORMS, vol. 51(4), pages 1046-1062, November.
    10. Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando & Toledo, Franklina M.B., 2014. "A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company," European Journal of Operational Research, Elsevier, vol. 237(2), pages 729-737.
    11. Klein, Robert & Koch, Sebastian & Steinhardt, Claudius & Strauss, Arne K., 2020. "A review of revenue management: Recent generalizations and advances in industry applications," European Journal of Operational Research, Elsevier, vol. 284(2), pages 397-412.
    12. K. Sudhir & Nathan Yang, 2014. "Exploiting the Choice-Consumption Mismatch: A New Approach to Disentangle State Dependence and Heterogeneity," Cowles Foundation Discussion Papers 1941, Cowles Foundation for Research in Economics, Yale University.
    13. Oliveira, Beatriz B. & Carravilla, Maria Antónia & Oliveira, José F. & Costa, Alysson M., 2019. "A co-evolutionary matheuristic for the car rental capacity-pricing stochastic problem," European Journal of Operational Research, Elsevier, vol. 276(2), pages 637-655.
    14. Niu, Yi-Feng & Lam, William H.K. & Gao, Ziyou, 2014. "An efficient algorithm for evaluating logistics network reliability subject to distribution cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 175-189.

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