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Range-based truck-state transition modeling method for foldable container drayage services

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  • Zhang, Ruiyou
  • Zhao, Haishu
  • Moon, Ilkyeong

Abstract

Manufacturing technologies of foldable containers have almost matured. The use of foldable containers might save transportation costs; however, incorporating them into drayage services also creates great challenges. The foldable container drayage (FCD) problem is formulated as a sequence-dependent multiple traveling salesman problem with time windows using a range-based truck state transition method. An improved reactive tabu search algorithm is designed and validated to solve the FCD problem. The methodology is evaluated extensively on the basis of randomly generated instances. Compared to the use of standard containers, the use of four-in-one foldable containers can save approximately 10% on transportation costs.

Suggested Citation

  • Zhang, Ruiyou & Zhao, Haishu & Moon, Ilkyeong, 2018. "Range-based truck-state transition modeling method for foldable container drayage services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 225-239.
  • Handle: RePEc:eee:transe:v:118:y:2018:i:c:p:225-239
    DOI: 10.1016/j.tre.2018.07.011
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    References listed on IDEAS

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    Cited by:

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    4. Shintani, Koichi & Konings, Rob & Imai, Akio, 2019. "Combinable containers: A container innovation to save container fleet and empty container repositioning costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 248-272.
    5. Myung, Young-Soo & Yu, Yung-Mok, 2020. "Freight transportation network model with bundling option," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    6. Zhang, Ruiyou & Huang, Chao & Feng, Xuehao, 2020. "Empty container repositioning with foldable containers in a river transport network considering the limitations of bridge heights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 197-213.
    7. Fan, Tijun & Pan, Qianlan & Pan, Fei & Zhou, Wei & Chen, Jingyi, 2020. "Intelligent logistics integration of internal and external transportation with separation mode," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    8. Li Li & Jiadong Zhu & Guanqiong Ye & Xuehao Feng, 2018. "Development of Green Ports with the Consideration of Coastal Wave Energy," Sustainability, MDPI, Open Access Journal, vol. 10(11), pages 1-17, November.

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