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Dynamic vehicle routing for online B2C delivery

Author

Listed:
  • Du, Timon C.
  • Li, Eldon Y.
  • Chou, Defrose

Abstract

Electronic commerce (EC) is increasingly popular in today's businesses. The business-to-consumer EC environment has voluminous, unpredictable, and dynamically changing customer orders. A major part of the delivery system of this environment is the dynamic vehicle routing (DVR) system. This study investigates several algorithms suitable for solving the DVR problem in business-to-consumer (B2C) EC environment. It designs the solution process into three phases: initial-routes formation, inter-routes improvement, and intra-route improvement. A computer program is created to demonstrate a system simulating vehicle routing process under the online B2C environment. The simulated system collects data for system performance indexes such as simulation time, travel distance, delivery time, and delay time. The results show that when orders are placed through the Internet in an online B2C environment, the Nearest algorithms can be used to find satisfactory routes during the first phase of a DVR delivery system. The three-phase solution process is proven to be significantly better in travel distance and delivery time than the conventional single-phase solution process.

Suggested Citation

  • Du, Timon C. & Li, Eldon Y. & Chou, Defrose, 2005. "Dynamic vehicle routing for online B2C delivery," Omega, Elsevier, vol. 33(1), pages 33-45, February.
    • Handle: RePEc:eee:jomega:v:33:y:2005:i:1:p:33-45
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    References listed on IDEAS

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    1. Michel Gendreau & François Guertin & Jean-Yves Potvin & Éric Taillard, 1999. "Parallel Tabu Search for Real-Time Vehicle Routing and Dispatching," Transportation Science, INFORMS, vol. 33(4), pages 381-390, November.
    2. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    3. Dimitris J. Bertsimas & Garrett van Ryzin, 1993. "Stochastic and Dynamic Vehicle Routing in the Euclidean Plane with Multiple Capacitated Vehicles," Operations Research, INFORMS, vol. 41(1), pages 60-76, February.
    4. Jean-Yves Potvin & Tanguy Kervahut & Bruno-Laurent Garcia & Jean-Marc Rousseau, 1996. "The Vehicle Routing Problem with Time Windows Part I: Tabu Search," INFORMS Journal on Computing, INFORMS, vol. 8(2), pages 158-164, May.
    5. G. A. Croes, 1958. "A Method for Solving Traveling-Salesman Problems," Operations Research, INFORMS, vol. 6(6), pages 791-812, December.
    6. Billy E. Gillett & Leland R. Miller, 1974. "A Heuristic Algorithm for the Vehicle-Dispatch Problem," Operations Research, INFORMS, vol. 22(2), pages 340-349, April.
    7. Éric Taillard & Philippe Badeau & Michel Gendreau & François Guertin & Jean-Yves Potvin, 1997. "A Tabu Search Heuristic for the Vehicle Routing Problem with Soft Time Windows," Transportation Science, INFORMS, vol. 31(2), pages 170-186, May.
    8. Charon, Irene & Hudry, Olivier, 2000. "Application of the noising method to the travelling salesman problem," European Journal of Operational Research, Elsevier, vol. 125(2), pages 266-277, September.
    9. 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.
    10. A. W. J. Kolen & A. H. G. Rinnooy Kan & H. W. J. M. Trienekens, 1987. "Vehicle Routing with Time Windows," Operations Research, INFORMS, vol. 35(2), pages 266-273, April.
    11. Soumia Ichoua & Michel Gendreau & Jean-Yves Potvin, 2000. "Diversion Issues in Real-Time Vehicle Dispatching," Transportation Science, INFORMS, vol. 34(4), pages 426-438, November.
    12. Jean-Yves Potvin & Samy Bengio, 1996. "The Vehicle Routing Problem with Time Windows Part II: Genetic Search," INFORMS Journal on Computing, INFORMS, vol. 8(2), pages 165-172, May.
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    7. Cheung, Bernard K.-S. & Choy, K.L. & Li, Chung-Lun & Shi, Wenzhong & Tang, Jian, 2008. "Dynamic routing model and solution methods for fleet management with mobile technologies," International Journal of Production Economics, Elsevier, vol. 113(2), pages 694-705, June.

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