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The balanced cargo vehicle routing problem with time windows

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  • Kritikos, Manolis N.
  • Ioannou, George
Abstract
This paper addresses a variant of the vehicle routing problem with time windows (VRPTW) that targets the balancing of the load carried by each active vehicle (balanced cargo VRPTW or BCVRPTW). A new approach, based on the free disposal hull (FDH) method of data envelopment analysis, is proposed; it consists of an initial, feasible route generation procedure that employs an effective heuristic for the VRPTW, followed by an iterative method for selecting routes on the efficiency frontier, according to the criteria of the BCVRPTW and the notion of non-dominated solutions embedded within FDH. This new approach produces, according to our computational evaluation, very good results for the BCVRPTW, and can serve as the basis for solving real-life vehicle routing problems.

Suggested Citation

  • Kritikos, Manolis N. & Ioannou, George, 2010. "The balanced cargo vehicle routing problem with time windows," International Journal of Production Economics, Elsevier, vol. 123(1), pages 42-51, January.
    • Handle: RePEc:eee:proeco:v:123:y:2010:i:1:p:42-51
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    References listed on IDEAS

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    2. Antonio Martinez‐Sykora & Tolga Bektaş, 2015. "Transformations of node‐balanced routing problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(5), pages 370-387, August.
    3. Mancini, Simona & Gansterer, Margaretha & Hartl, Richard F., 2021. "The collaborative consistent vehicle routing problem with workload balance," European Journal of Operational Research, Elsevier, vol. 293(3), pages 955-965.
    4. Babagolzadeh, Mahla & Zhang, Yahua & Abbasi, Babak & Shrestha, Anup & Zhang, Anming, 2022. "Promoting Australian regional airports with subsidy schemes: Optimised downstream logistics using vehicle routing problem," Transport Policy, Elsevier, vol. 128(C), pages 38-51.
    5. Said El Noshokaty, 2021. "Shipping optimization systems (SOS) for tramp: stochastic cargo soft time windows," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-19, December.
    6. Soriano, Adria & Gansterer, Margaretha & Hartl, Richard F., 2023. "The multi-depot vehicle routing problem with profit fairness," International Journal of Production Economics, Elsevier, vol. 255(C).
    7. Soriano, Adria & Gansterer, Margaretha & Hartl, Richard F., 2022. "Reprint of: The multi-depot vehicle routing problem with profit fairness," International Journal of Production Economics, Elsevier, vol. 250(C).
    8. Naji-Azimi, Zahra & Salari, Majid & Renaud, Jacques & Ruiz, Angel, 2016. "A practical vehicle routing problem with desynchronized arrivals to depot," European Journal of Operational Research, Elsevier, vol. 255(1), pages 58-67.
    9. Loske, Dominic & Klumpp, Matthias, 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics," International Journal of Production Economics, Elsevier, vol. 241(C).
    10. 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.
    11. Margaretha Gansterer & Richard F. Hartl & Sarah Wieser, 2021. "Assignment constraints in shared transportation services," Annals of Operations Research, Springer, vol. 305(1), pages 513-539, October.
    12. Carlos A. Vega-Mejía & Jairo R. Montoya-Torres & Sardar M. N. Islam, 2019. "Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review," Annals of Operations Research, Springer, vol. 273(1), pages 311-375, February.
    13. P. Matl & R. F. Hartl & T. Vidal, 2018. "Workload Equity in Vehicle Routing Problems: A Survey and Analysis," Transportation Science, INFORMS, vol. 52(2), pages 239-260, March.
    14. Arroyo, Federico, 2024. "Cost Allocation in Vehicle Routing Problems with Time Windows," Junior Management Science (JUMS), Junior Management Science e. V., vol. 9(1), pages 1241-1268.
    15. Pang, King-Wah & Xu, Zhou & Li, Chung-Lun, 2011. "Ship routing problem with berthing time clash avoidance constraints," International Journal of Production Economics, Elsevier, vol. 131(2), pages 752-762, June.
    16. Kuo, Tsai Chi & Chen, Gary Yu-Hsin & Wang, Miao Ling & Ho, Ming Way, 2014. "Carbon footprint inventory route planning and selection of hot spot suppliers," International Journal of Production Economics, Elsevier, vol. 150(C), pages 125-139.
    17. Kritikos, Manolis N. & Ioannou, George, 2013. "The heterogeneous fleet vehicle routing problem with overloads and time windows," International Journal of Production Economics, Elsevier, vol. 144(1), pages 68-75.

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