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Negotiating truck arrival times among trucking companies and a container terminal

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  • Phan, Mai-Ha
  • Kim, Kap Hwan

Abstract

Congestion of trucks in port areas has created serious environmental and traffic problems in many countries. One of main reasons for congestion is the concentrated arrivals of road trucks at peak hours. A negotiation process for smoothing truck arrivals in peak hours among multiple trucking companies and a terminal is addressed. The negotiation process is to be used for the appointment system for road trucks in container terminals. This paper suggests a mathematical formulation for smoothing the peaks in arrivals considering the inconvenience of trucks from changing their arrival times and the waiting cost of trucks in peak hours. This study proposes a decentralized decision-making model to support the negotiation process between truck companies and the terminal operator. It gives an acceptable solution to every player involved as well as the near optimal solution to the entire system from the global point of view. Numerical experiments are performed to validate the approach in this study.

Suggested Citation

  • Phan, Mai-Ha & Kim, Kap Hwan, 2015. "Negotiating truck arrival times among trucking companies and a container terminal," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 132-144.
    • Handle: RePEc:eee:transe:v:75:y:2015:i:c:p:132-144
    DOI: 10.1016/j.tre.2015.01.004
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    References listed on IDEAS

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    Cited by:

    1. Xiaoju Zhang & Qingcheng Zeng & Zhongzhen Yang, 2019. "Optimization of truck appointments in container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(1), pages 125-145, March.
    2. Caldeira dos Santos, Murillo & Pereira, Fábio Henrique, 2021. "Development and application of a dynamic model for road port access and its impacts on port-city relationship indicators," Journal of Transport Geography, Elsevier, vol. 96(C).
    3. Li, Shuqin & Jia, Shuai & Tao, Yi & Lin, Xudong, 2024. "Gate appointment design in a container terminal: A robust optimization approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    4. Azab, Ahmed & Morita, Hiroshi, 2022. "Coordinating truck appointments with container relocations and retrievals in container terminals under partial appointments information," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    5. Azab, Ahmed & Morita, Hiroshi, 2022. "The block relocation problem with appointment scheduling," European Journal of Operational Research, Elsevier, vol. 297(2), pages 680-694.
    6. Lange, Ann-Kathrin & Kreuz, Felix & Langkau, Sven & Jahn, Carlos & Clausen, Uwe, 2020. "Defining the quota of truck appointment systems," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 211-246, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    7. Torkjazi, Mohammad & Huynh, Nathan & Shiri, Samaneh, 2018. "Truck appointment systems considering impact to drayage truck tours," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 208-228.
    8. Jacobsson, Stefan & Arnäs, Per Olof & Stefansson, Gunnar, 2018. "Differentiation of access management services at seaport terminals: Facilitating potential improvements for road hauliers," Journal of Transport Geography, Elsevier, vol. 70(C), pages 256-264.
    9. Talley, Wayne K. & Ng, ManWo, 2016. "Port multi-service congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 66-70.
    10. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.
    11. Adrián Ramírez-Nafarrate & Rosa G. González-Ramírez & Neale R. Smith & Roberto Guerra-Olivares & Stefan Voß, 2017. "Impact on yard efficiency of a truck appointment system for a port terminal," Annals of Operations Research, Springer, vol. 258(2), pages 195-216, November.
    12. Mar-Ortiz, Julio & Castillo-García, Norberto & Gracia, María D., 2020. "A decision support system for a capacity management problem at a container terminal," International Journal of Production Economics, Elsevier, vol. 222(C).
    13. Li, Dongjun & Dong, Jing-Xin & Song, Dong-Ping & Hicks, Christian & Singh, Surya Prakash, 2020. "Optimal contract design for the exchange of tradable truck permits at multiterminal ports," International Journal of Production Economics, Elsevier, vol. 230(C).
    14. Feng, Yuanjun & Song, Dong-Ping & Li, Dong & Xie, Ying, 2022. "Service fairness and value of customer information for the stochastic container relocation problem under flexible service policy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    15. Bowei Xu & Xiaoyan Liu & Yongsheng Yang & Junjun Li & Octavian Postolache, 2021. "Optimization for a Multi-Constraint Truck Appointment System Considering Morning and Evening Peak Congestion," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    16. Caballini, Claudia & Gracia, Maria D. & Mar-Ortiz, Julio & Sacone, Simona, 2020. "A combined data mining – optimization approach to manage trucks operations in container terminals with the use of a TAS: Application to an Italian and a Mexican port," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    17. Mohammad Torkjazi & Nathan Huynh & Ali Asadabadi, 2022. "Modeling the Truck Appointment System as a Multi-Player Game," Logistics, MDPI, vol. 6(3), pages 1-25, July.
    18. Filip Covic, 2017. "Re-marshalling in automated container yards with terminal appointment systems," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 433-503, December.
    19. María D. Gracia & Rosa G. González-Ramírez & Julio Mar-Ortiz, 2017. "The impact of lanes segmentation and booking levels on a container terminal gate congestion," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 403-432, December.
    20. Gang Chen & Liping Jiang, 2016. "Managing customer arrivals with time windows: a case of truck arrivals at a congested container terminal," Annals of Operations Research, Springer, vol. 244(2), pages 349-365, September.
    21. Facchini, F. & Digiesi, S. & Mossa, G., 2020. "Optimal dry port configuration for container terminals: A non-linear model for sustainable decision making," International Journal of Production Economics, Elsevier, vol. 219(C), pages 164-178.

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