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A decision support system for a real vehicle routing problem

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  • Ruiz, Ruben
  • Maroto, Concepcion
  • Alcaraz, Javier

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  • Ruiz, Ruben & Maroto, Concepcion & Alcaraz, Javier, 2004. "A decision support system for a real vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 153(3), pages 593-606, March.
    • Handle: RePEc:eee:ejores:v:153:y:2004:i:3:p:593-606
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    References listed on IDEAS

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    1. G. B. Dantzig & J. H. Ramser, 1959. "The Truck Dispatching Problem," Management Science, INFORMS, vol. 6(1), pages 80-91, October.
    2. César Rego, 1998. "A Subpath Ejection Method for the Vehicle Routing Problem," Management Science, INFORMS, vol. 44(10), pages 1447-1459, October.
    3. E Angelelli & M G Speranza, 2002. "The application of a vehicle routing model to a waste-collection problem: two case studies," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(9), pages 944-952, September.
    4. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
    5. G. Clarke & J. W. Wright, 1964. "Scheduling of Vehicles from a Central Depot to a Number of Delivery Points," Operations Research, INFORMS, vol. 12(4), pages 568-581, August.
    6. Jiefeng Xu & James P. Kelly, 1996. "A Network Flow-Based Tabu Search Heuristic for the Vehicle Routing Problem," Transportation Science, INFORMS, vol. 30(4), pages 379-393, November.
    7. Van Breedam, Alex, 2002. "A parametric analysis of heuristics for the vehicle routing problem with side-constraints," European Journal of Operational Research, Elsevier, vol. 137(2), pages 348-370, March.
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    1. Ostermeier, Manuel & Henke, Tino & Hübner, Alexander & Wäscher, Gerhard, 2021. "Multi-compartment vehicle routing problems: State-of-the-art, modeling framework and future directions," European Journal of Operational Research, Elsevier, vol. 292(3), pages 799-817.
    2. Oscar Dominguez & Angel A. Juan & Barry Barrios & Javier Faulin & Alba Agustin, 2016. "Using biased randomization for solving the two-dimensional loading vehicle routing problem with heterogeneous fleet," Annals of Operations Research, Springer, vol. 236(2), pages 383-404, January.
    3. Pradhananga, Rojee & Taniguchi, Eiichi & Yamada, Tadashi & Qureshi, Ali Gul, 2014. "Bi-objective decision support system for routing and scheduling of hazardous materials," Socio-Economic Planning Sciences, Elsevier, vol. 48(2), pages 135-148.
    4. Melo, Rafael A. & Ribeiro, Celso C. & Urrutia, Sebastián & Vansteenwegen, Pieter, 2025. "A logic-based Benders decomposition approach for a fuel delivery problem with time windows, unsplit compartments, and split deliveries," European Journal of Operational Research, Elsevier, vol. 325(1), pages 100-117.
    5. Repoussis, P.P. & Paraskevopoulos, D.C. & Zobolas, G. & Tarantilis, C.D. & Ioannou, G., 2009. "A web-based decision support system for waste lube oils collection and recycling," European Journal of Operational Research, Elsevier, vol. 195(3), pages 676-700, June.
    6. Jorge E. Mendoza & Bruno Castanier & Christelle Guéret & Andrés L. Medaglia & Nubia Velasco, 2011. "Constructive Heuristics for the Multicompartment Vehicle Routing Problem with Stochastic Demands," Transportation Science, INFORMS, vol. 45(3), pages 346-363, August.
    7. Ansaripoor, Amir H. & Oliveira, Fernando S. & Liret, Anne, 2014. "A risk management system for sustainable fleet replacement," European Journal of Operational Research, Elsevier, vol. 237(2), pages 701-712.
    8. Calvete, Herminia I. & Gale, Carmen & Oliveros, Maria-Jose & Sanchez-Valverde, Belen, 2007. "A goal programming approach to vehicle routing problems with soft time windows," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1720-1733, March.
    9. Max Leyerer & Marc-Oliver Sonneberg & Maximilian Heumann & Michael H. Breitner, 2019. "Decision support for sustainable and resilience-oriented urban parcel delivery," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 267-300, November.
    10. Lovis Anderson & Mark Turner & Thorsten Koch, 2022. "Generative deep learning for decision making in gas networks," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 95(3), pages 503-532, June.

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