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A savings based method for real-life vehicle routing problems

Author

Listed:
  • A Poot

    (ORTEC Consultants
    Erasmus University Rotterdam)

  • G Kant

    (ORTEC Consultants)

  • A P M Wagelmans

    (Erasmus University Rotterdam)

Abstract

This paper describes a Savings Based algorithm for the Extended Vehicle Routing Problem. This algorithm is compared with a sequential insertion algorithm on real-life data. Besides the traditional quality measures such as total distance travelled and total workload, we compare the routing plans of both algorithms according to non-standard quality measures that help to evaluate the ‘visual attractiveness’ of the plan. Computational results show that, in general, the savings based algorithm not only performs better with respect to these non-standard quality measures, but also with respect to the traditional measures.

Suggested Citation

  • A Poot & G Kant & A P M Wagelmans, 2002. "A savings based method for real-life vehicle routing problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(1), pages 57-68, January.
    • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:1:d:10.1057_palgrave.jors.2601252
    DOI: 10.1057/palgrave.jors.2601252
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    Citations

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    Cited by:

    1. Rieck, Julia, 2011. "Ein Framework fu?r die Gestaltung grosser, internationaler Transportnetze: Beru?cksichtigung von Netzwerkdesign und Tourenbildung," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 65(2), pages 133-150.
    2. Angel Juan & Javier Faulin & Albert Ferrer & Helena Lourenço & Barry Barrios, 2013. "MIRHA: multi-start biased randomization of heuristics with adaptive local search for solving non-smooth routing problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(1), pages 109-132, April.
    3. Lu, Quan & Dessouky, Maged M., 2006. "A new insertion-based construction heuristic for solving the pickup and delivery problem with time windows," European Journal of Operational Research, Elsevier, vol. 175(2), pages 672-687, December.
    4. Goos Kant & Michael Jacks & Corné Aantjes, 2008. "Coca-Cola Enterprises Optimizes Vehicle Routes for Efficient Product Delivery," Interfaces, INFORMS, vol. 38(1), pages 40-50, February.
    5. H. J. (Hans) Quak & M. (René) B. M. de Koster, 2009. "Delivering Goods in Urban Areas: How to Deal with Urban Policy Restrictions and the Environment," Transportation Science, INFORMS, vol. 43(2), pages 211-227, May.
    6. Ouyang, Zhiyuan & Leung, Eric Ka Ho & Huang, George Q., 2022. "Community logistics for dynamic vehicle dispatching: The effects of community departure “time” and “space”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    7. Rodrigo Linfati & Fernando Yáñez-Concha & John Willmer Escobar, 2022. "Mathematical Models for the Vehicle Routing Problem by Considering Balancing Load and Customer Compactness," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    8. Maria Battarra & Güneş Erdoğan & Daniele Vigo, 2014. "Exact Algorithms for the Clustered Vehicle Routing Problem," Operations Research, INFORMS, vol. 62(1), pages 58-71, February.
    9. Ubeda, S. & Arcelus, F.J. & Faulin, J., 2011. "Green logistics at Eroski: A case study," International Journal of Production Economics, Elsevier, vol. 131(1), pages 44-51, May.
    10. Vidal, Thibaut & Laporte, Gilbert & Matl, Piotr, 2020. "A concise guide to existing and emerging vehicle routing problem variants," European Journal of Operational Research, Elsevier, vol. 286(2), pages 401-416.
    11. Surya Sahoo & Seongbae Kim & Byung-In Kim & Bob Kraas & Alexander Popov, 2005. "Routing Optimization for Waste Management," Interfaces, INFORMS, vol. 35(1), pages 24-36, February.
    12. Constantino, Miguel & Gouveia, Luís & Mourão, Maria Cândida & Nunes, Ana Catarina, 2015. "The mixed capacitated arc routing problem with non-overlapping routes," European Journal of Operational Research, Elsevier, vol. 244(2), pages 445-456.
    13. A A Juan & J Faulin & J Jorba & D Riera & D Masip & B Barrios, 2011. "On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1085-1097, June.
    14. Peter Matis & Michal Koháni, 2011. "Very large street routing problem with mixed transportation mode," 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. 19(3), pages 359-369, September.

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