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Dynamic routing model and solution methods for fleet management with mobile technologies

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  • Cheung, Bernard K.-S.
  • Choy, K.L.
  • Li, Chung-Lun
  • Shi, Wenzhong
  • Tang, Jian

Abstract

We develop and analyze a mathematical model for dynamic fleet management that captures the characteristics of modern vehicle operations. The model takes into consideration dynamic data such as vehicle locations, travel time, and incoming customer orders. The solution method includes an effective procedure for solving the static problem and an efficient re-optimization procedure for updating the route plan as dynamic information arrives. Computational experiments show that our re-optimization procedure can generate near-optimal solutions.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:proeco:v:113:y:2008:i:2:p:694-705
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    1. 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.
    2. Gregory A. Godfrey & Warren B. Powell, 2002. "An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, I: Single Period Travel Times," Transportation Science, INFORMS, vol. 36(1), pages 21-39, February.
    3. Barrett W. Thomas & Chelsea C. White, 2004. "Anticipatory Route Selection," Transportation Science, INFORMS, vol. 38(4), pages 473-487, November.
    4. Zhi-Long Chen & Hang Xu, 2006. "Dynamic Column Generation for Dynamic Vehicle Routing with Time Windows," Transportation Science, INFORMS, vol. 40(1), pages 74-88, February.
    5. Ghiani, Gianpaolo & Guerriero, Francesca & Laporte, Gilbert & Musmanno, Roberto, 2003. "Real-time vehicle routing: Solution concepts, algorithms and parallel computing strategies," European Journal of Operational Research, Elsevier, vol. 151(1), pages 1-11, November.
    6. R. Montemanni & L. M. Gambardella & A. E. Rizzoli & A. V. Donati, 2005. "Ant Colony System for a Dynamic Vehicle Routing Problem," Journal of Combinatorial Optimization, Springer, vol. 10(4), pages 327-343, December.
    7. Mitrovic-Minic, Snezana & Krishnamurti, Ramesh & Laporte, Gilbert, 2004. "Double-horizon based heuristics for the dynamic pickup and delivery problem with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 38(8), pages 669-685, September.
    8. Mitrovic-Minic, Snezana & Laporte, Gilbert, 2004. "Waiting strategies for the dynamic pickup and delivery problem with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 38(7), pages 635-655, August.
    9. Bernhard Fleischmann & Stefan Gnutzmann & Elke Sandvoß, 2004. "Dynamic Vehicle Routing Based on Online Traffic Information," Transportation Science, INFORMS, vol. 38(4), pages 420-433, November.
    10. Russell W. Bent & Pascal Van Hentenryck, 2004. "Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers," Operations Research, INFORMS, vol. 52(6), pages 977-987, December.
    11. Jürgen Branke & Martin Middendorf & Guntram Noeth & Maged Dessouky, 2005. "Waiting Strategies for Dynamic Vehicle Routing," Transportation Science, INFORMS, vol. 39(3), pages 298-312, August.
    12. Fabri, A. & Recht, P., 2006. "On dynamic pickup and delivery vehicle routing with several time windows and waiting times," Transportation Research Part B: Methodological, Elsevier, vol. 40(4), pages 335-350, May.
    13. Allan Larsen & Oli B. G. Madsen & Marius M. Solomon, 2004. "The A Priori Dynamic Traveling Salesman Problem with Time Windows," Transportation Science, INFORMS, vol. 38(4), pages 459-472, November.
    14. Gregory A. Godfrey & Warren B. Powell, 2002. "An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, II: Multiperiod Travel Times," Transportation Science, INFORMS, vol. 36(1), pages 40-54, February.
    15. Jian Yang & Patrick Jaillet & Hani Mahmassani, 2004. "Real-Time Multivehicle Truckload Pickup and Delivery Problems," Transportation Science, INFORMS, vol. 38(2), pages 135-148, May.
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    Cited by:

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    2. Shukla, Nagesh & Choudhary, A.K. & Prakash, P.K.S. & Fernandes, K.J. & Tiwari, M.K., 2013. "Algorithm portfolios for logistics optimization considering stochastic demands and mobility allowance," International Journal of Production Economics, Elsevier, vol. 141(1), pages 146-166.
    3. Lixing Wang & Zhenning Wu & Changyong Cao, 2021. "Integrated Optimization of Routing and Energy Management for Electric Vehicles in Delivery Scheduling," Energies, MDPI, vol. 14(6), pages 1-17, March.
    4. Pillac, Victor & Gendreau, Michel & Guéret, Christelle & Medaglia, Andrés L., 2013. "A review of dynamic vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 225(1), pages 1-11.
    5. Wang, Xuping & Ruan, Junhu & Shi, Yan, 2012. "A recovery model for combinational disruptions in logistics delivery: Considering the real-world participators," International Journal of Production Economics, Elsevier, vol. 140(1), pages 508-520.
    6. Qiu, Xuan & Luo, Hao & Xu, Gangyan & Zhong, Runyang & Huang, George Q., 2015. "Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP)," International Journal of Production Economics, Elsevier, vol. 159(C), pages 4-15.
    7. 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.
    8. Zhang, Jian & Woensel, Tom Van, 2023. "Dynamic vehicle routing with random requests: A literature review," International Journal of Production Economics, Elsevier, vol. 256(C).
    9. Ting, Chuan-Kang & Liao, Xin-Lan, 2013. "The selective pickup and delivery problem: Formulation and a memetic algorithm," International Journal of Production Economics, Elsevier, vol. 141(1), pages 199-211.
    10. Zolfagharinia, Hossein & Haughton, Michael, 2018. "The importance of considering non-linear layover and delay costs for local truckers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 331-355.

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