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Exact and heuristic methods for a full-load, multi-terminal, vehicle scheduling problem with backhauling and time windows

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  • R H Currie

    (Management Mathematics Group, School of Mathematics and Statistics, The University of Birmingham)

  • S Salhi

    (Management Mathematics Group, School of Mathematics and Statistics, The University of Birmingham)

Abstract

The problem considered is the full-load pickup and delivery problem with time windows (PDPTW), and heterogeneous products and vehicles, where the assignment of pickup points to requests is not predetermined. The problem is first formulated as a 0-1 LP, then a hybrid algorithm is developed, which chooses dynamically between a Greedy heuristic and one based on Regret costs. A multi-level constructive heuristic that consists of three post-optimizers is presented. Two lower bounds are used to evaluate the performance of the proposed heuristics when tested on random instances and selected data from a construction company.

Suggested Citation

  • R H Currie & S Salhi, 2003. "Exact and heuristic methods for a full-load, multi-terminal, vehicle scheduling problem with backhauling and time windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(4), pages 390-400, April.
    • Handle: RePEc:pal:jorsoc:v:54:y:2003:i:4:d:10.1057_palgrave.jors.2601534
    DOI: 10.1057/palgrave.jors.2601534
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    References listed on IDEAS

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    Cited by:

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    2. Margaretha Gansterer & Richard F. Hartl & Philipp E. H. Salzmann, 2018. "Exact solutions for the collaborative pickup and delivery problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(2), pages 357-371, June.
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    4. 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.

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