Abstract
The VRP is a key to efficient transportation logistics. It is a computationally very hard problem. Whereas classical OR models are static and deterministic, these assumptions are rarely warranted in an industrial setting. Lately, there has been an increased focus on dynamic and stochastic vehicle routing in the research community. However, very few generic routing tools based on stochastic or dynamic models are available. We illustrate the need for dynamics and stochastic models in industrial routing, describe the Dynamic and Stochastic VRP, and how we have extended a generic VRP solver to cope with dynamics and uncertainty
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Reference
Attanasio, A., Cordeau, J. F., Ghiani, G. and Laporte, G., 2004, Parallel tabu search heuristics for the dynamic multi-vehicle dial-a-ride problem, Parallel Computing 30(3): 377-387.
Bent, R. and Van Hentenryck, P., 2003, Dynamic Vehicle Routing with Stochastic Requests, Technical Report, Technical Report, Department of Computer Science, Brown University.
Bent, R. and Van Hentenryck, P., 2004, Scenario-based planning for partially dynamic vehicle routing with stochastic customers, Operations Research 52(6): 977-987.
Bräysy, O., Gendreau, M., Hasle, G. and Løkketangen, A., 2005a, A Survey of Heuristics for the Vehicle Routing Problem, Part I: Basic Problems and Supply Side Extensions, SINTEF Report, Oslo, Norway.
Bräysy, O., Gendreau, M., Hasle, G. and Løkketangen, A.,2005b, A Survey of Heuristics for the Vehicle Routing Problem, Part II: Demand Side Extensions, SINTEF Report, Oslo, Norway.
Dantzig, G. B. and Ramser, J. H.,1959, The truck dispatching problem, Management Science 6: 80.
Dror, M., Laporte, G. and Trudeau, P.,1989, Vehicle routing with stochastic demands: properties and solution frameworks, Transportation Science 23: 166-176.
Flatberg, T., Hasle, G., Kloster, O., Nilssen, E. J. and Riise, A.,2005, Dynamic and Stochastic Aspects in Vehicle Routing - A Literature Survey, SINTEF Technical Report STF90A05413.
Fleischmann, B., Gnutzmann, S. and Sandvoß, E., 2004, Dynamic Vehicle Routing Based on Online Traffic Information, Transportation Science 38(4): 420-433.
Gendreau, M., Laporte, G. and Sèguin, R., 1996, Stochastic vehicle routing, European Journal of Operational Research 88: 3-12.
Giaglis, G. M., Minis, I., Tatarakis, A. and Zeimpekis, V., 2004, Minimizing logistics risk through real-time vehicle routing and mobile technologies: Research to date and future trends, International Journal of Physical Distribution & Logistics Management 34(9): 749-764.
Hansen, P. and Mladenovic, N.,1999, An Introduction to Variable Neighborhood Search, in: Metaheuristics, Advances and Trends in Local Search Paradigms for Optimization, S. Voss et al, eds., Dordrecht, Kluwer.
Heckerman, D.,1995, A Tutorial on Learning Bayesian Networks, Technical Report, Microsoft Research.
Horn, M. E. T., 2000, Fleet scheduling and dispatching for demand-responsive passenger services, Transportation Research Part C 10.
Hvattum, L. M., Løkketangen, A. and Laporte, G.,2006, A branch-and-prune heuristic for stochastic and dynamic vehicle routing, Working paper.
Ichoua, S., Gendreau, M. and Potvin, J.-Y., 2000, Diversion Issues in real-time vehicle dispaching, Transportation Science 34(4): 426-438.
Ichoua, S., Gendreau, M. and Potvin, J.-Y., 2005, Exploiting knowledge about future demands for real-time vehicle dispatching, Transportation Science Forthcoming.
Larsen, A.,2000, The Dynamic Vehicle Routing Problem, PhD Thesis, Department of Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark.
Larsen, A., Madsen, O. and Solomon, M., 2002, Partially dynamic vehicle routing - models and algorithms, Journal of the Operational Research Society 53: 637-646.
Lourenço, H. R., Martin, O. C. and T., S.,2003, Iterated Local Search, in: Handbook of Metaheuristics, F. Glover and G. Kochenberger, eds., Kluwer, pp. 321-354.
Lund, K., Madsen, O. B. G. and Rygaard, J. M.,1996, Vehicle routing problems with varying degree of dynamism, Technical Report, IMM, Department of Mathematical Modelling, Technical University of Denmark.
Madsen, O., Ravn, H. F. and Rygaard, J. M., 1995, A heuristics algorithm for a dial-a-ride problem with time windows, multiple capacities, and multiple objectives, Annals of Operations Research 60: 193-208.
Mitrovic-Minic, S., Krishnamurti, R. and Laporte, G., 2004, Double-horizon based heuristics for the dynamic pickup and delivery problem with time windows, Transportation Research Part B 38: 669-685.
Mitrovic-Minic, S. and Laporte, G., 2004, Waiting strategies for the dynamic pickup and delivery problem with time windows, Transportation Research Part B 38: 635-655.
Powell, W. B., Jaillet, P. and Odoni, A.,1995, Stochastic and dynamic networks and routing, in: Handbooks in operations research and management science 8: Network Routing, M. O. Ball et al., eds., Amsterdam, Elsevier, pp. 141-295.
Powell, W. B. and Topaloglu, H.,2003, Stochastic Programming in Transportation and Logistics, in: Handbooks in Operations Research and Management Science: Stochastic Programming, A. Shapiro and A. Ruszczynski, eds., Amsterdam, Elsevier.
Psaraftis, H. N.,1988, Dynamic vehicle routing problems, in: Vehicle routing: methods and studies, B. Golden and A. Assad, eds., Amsterdam, Elsevier Science Publishers, pp. 223-248.
Psaraftis, H. N., 1995, Dynamic vehicle routing: status and prospects, Annals of Operational Research 61: 143-164.
Regan, A. C., Mahmassani, H. S. and P., J., 1998, Evaluation of dynamic fleet management systems: Simulation Framework, Transportation Research Record(1645).
Savelsbergh, M. and Sol, M., 1998, DRIVE: Dynamic routing of independent vehicles, Operations Research 46: 474-490.
Thomas, B. W. and White III, C. C., 2004, Anticipatory route selection, Transportation Science 38(4): 473-487.
Toth, P. and Vigo, D., eds., 2002, The Vehicle Routing Problem, SIAM Monographs on Discrete Mathematics and Applications, Philadelphia.
Van Hentenryck, P., Bent, R. and Upfal, E.,2006, Online Stochastic Optimization Under Time Constraints, Working Paper.
Yang, J., Jaillet, P. and Mahmassani, H., 2004, Real-time multivehicle truckload pickup and delivery problems, Transportation Science 38(2): 135-148.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Flatberg, T., Hasle, G., Kloster, O., Nilssen, E.J., Riise, A. (2007). Dynamic And Stochastic Vehicle Routing In Practice. In: Zeimpekis, V., Tarantilis, C.D., Giaglis, G.M., Minis, I. (eds) Dynamic Fleet Management. Operations Research/Computer Science Interfaces Series, vol 38. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-71722-7_3
Download citation
DOI: https://doi.org/10.1007/978-0-387-71722-7_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-71721-0
Online ISBN: 978-0-387-71722-7
eBook Packages: Business and EconomicsBusiness and Management (R0)