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Routing design for less-than-truckload motor carriers using Ant Colony Optimization

Author

Listed:
  • Barcos, L.
  • Rodríguez, V.
  • Álvarez, M.J.
  • Robusté, F.

Abstract

One of the most important challenges that confronts less-than-truckload carriers serving many-to-many distribution networks consists of determining how to consolidate flows of small shipments. The objective is to determine a route for each origin-destination pair that minimizes the cost while still guaranteeing a certain level of service. This research studies different aspects of the problem and provides a metaheuristic algorithm (based on Ant Colony Optimization techniques) capable of solving real-life problems in a reasonable computational time. The viability of the approach has been tested with a real case in Spain and encouraging results have been obtained.

Suggested Citation

  • Barcos, L. & Rodríguez, V. & Álvarez, M.J. & Robusté, F., 2010. "Routing design for less-than-truckload motor carriers using Ant Colony Optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 367-383, May.
    • Handle: RePEc:eee:transe:v:46:y:2010:i:3:p:367-383
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    Citations

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    Cited by:

    1. Anne Lange & Werner Delfmann, 2017. "Network concentration indices for less-than-truckload transportation," Transportation, Springer, vol. 44(6), pages 1475-1497, November.
    2. Tamvada, Srinivas Subramanya & Mansouri, Bahareh & Hassini, Elkafi & Pribytkov, Theodore, 2021. "An integer programming model and directed Steiner-forest based heuristic for routing less-than-truckload freight," International Journal of Production Economics, Elsevier, vol. 232(C).
    3. Li, Hongqi & Zhang, Lu & Lv, Tan & Chang, Xinyu, 2016. "The two-echelon time-constrained vehicle routing problem in linehaul-delivery systems," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 169-188.
    4. Mingyue Shao & Dongxu Chen & Xiaolong Lu & Xuefei Liu & Zhongzhen Yang, 2023. "Does Drop and Pull Transport Have a Chance? The Case of China," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    5. Al Hajj Hassan, Lama & Hewitt, Mike & Mahmassani, Hani S., 2022. "Daily load planning under different autonomous truck deployment scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    6. Herszterg, Ian & Ridouane, Yassine & Boland, Natashia & Erera, Alan & Savelsbergh, Martin, 2022. "Near real-time loadplan adjustments for less-than-truckload carriers," European Journal of Operational Research, Elsevier, vol. 301(3), pages 1021-1034.

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