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Optimizing Auto-Carrier Loading

Author

Listed:
  • Gerald Y. Agbegha

    (Johnson C. Smith University, Charlotte, North Carolina 28216)

  • Ronald H. Ballou

    (Department of Operations Research, Case Western Reserve University, Cleveland, Ohio 44106)

  • Kamlesh Mathur

    (Department of Operations Research, Case Western Reserve University, Cleveland, Ohio 44106)

Abstract

Delivering automobiles, vans, and trucks to auto dealerships is a unique problem among the routing and scheduling problem class. A subproblem is that of loading the vehicles onto an auto-carrier (equipment specially designed for this purpose). Allocation of the vehicles to this equipment has typically been done by means of trial and error and heuristic methods. This paper shows how the loading aspect of the delivery problem can be solved using optimizing methods. The approach has the potential of replacing the empirical methods currently used in practice.

Suggested Citation

  • Gerald Y. Agbegha & Ronald H. Ballou & Kamlesh Mathur, 1998. "Optimizing Auto-Carrier Loading," Transportation Science, INFORMS, vol. 32(2), pages 174-188, May.
    • Handle: RePEc:inm:ortrsc:v:32:y:1998:i:2:p:174-188
    DOI: 10.1287/trsc.32.2.174
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    References listed on IDEAS

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    1. Eugene L. Lawler, 1963. "The Quadratic Assignment Problem," Management Science, INFORMS, vol. 9(4), pages 586-599, July.
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    Cited by:

    1. Mattfeld, D. C. & Kopfer, H., 2003. "Terminal operations management in vehicle transshipment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(5), pages 435-452, June.
    2. Sun, Yanshuo & Kirtonia, Sajeeb & Chen, Zhi-Long, 2021. "A survey of finished vehicle distribution and related problems from an optimization perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    3. Kim, Jindae & Ok, Chang-Soo & Kumara, Soundar & Yee, Shang-Tae, 2010. "A market-based approach for dynamic vehicle deployment planning using radio frequency identification (RFID) information," International Journal of Production Economics, Elsevier, vol. 128(1), pages 235-247, November.
    4. Saurabh Chandra & Debabrata Ghosh & Samir K. Srivastava, 2016. "Outbound logistics management practices in the automotive industry: an emerging economy perspective," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(2), pages 145-165, June.
    5. Bonassa, Antonio Carlos & Cunha, Claudio Barbieri da & Isler, Cassiano Augusto, 2023. "A multi-start local search heuristic for the multi-period auto-carrier loading and transportation problem in Brazil," European Journal of Operational Research, Elsevier, vol. 307(1), pages 193-211.
    6. Mauro Dell’Amico & Simone Falavigna & Manuel Iori, 2015. "Optimization of a Real-World Auto-Carrier Transportation Problem," Transportation Science, INFORMS, vol. 49(2), pages 402-419, May.
    7. Wang, Yu & Chen, Feng & Chen, Zhi-Long, 2018. "Pickup and delivery of automobiles from warehouses to dealers," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 412-430.
    8. Cordeau, Jean-François & Dell’Amico, Mauro & Falavigna, Simone & Iori, Manuel, 2015. "A rolling horizon algorithm for auto-carrier transportation," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 68-80.
    9. Christian Billing & Florian Jaehn & Thomas Wensing, 2018. "A multiperiod auto-carrier transportation problem with probabilistic future demands," Journal of Business Economics, Springer, vol. 88(7), pages 1009-1028, September.
    10. Chen, Feng & Wang, Yu, 2020. "Downward compatible loading optimization with inter-set cost in automobile outbound logistics," European Journal of Operational Research, Elsevier, vol. 287(1), pages 106-118.

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