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Coordinating truck appointments with container relocations and retrievals in container terminals under partial appointments information

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  • Azab, Ahmed
  • Morita, Hiroshi

Abstract

This paper introduces a new scheduling approach that optimizes truck appointments, truck service order, and container relocations at the yard through a bi-objective IP model with a lexicographical objective function. The proposed approach serves as a proactive decision support system that coordinates truck appointments with container handling operations to avoid excessive delays caused by container relocations. The performance of the approach is compared to existing practices of the online container relocation using a case study involving an operational Japanese container terminal. A rule-based heuristic for the online container relocation problem is formulated and compared to our proposed optimization approach. Taking into account a number of essential practical aspects, including trucking company preferences, container delivery schedules, yard capacity, and appointment levels, our proposed optimization approach has the potential to significantly reduce the number of relocations in the yard while making minimal shifts in the preferred container pickup times.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:transe:v:160:y:2022:i:c:s1366554522000680
    DOI: 10.1016/j.tre.2022.102673
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    References listed on IDEAS

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    1. Ku, Dusan & Arthanari, Tiru S., 2016. "Container relocation problem with time windows for container departure," European Journal of Operational Research, Elsevier, vol. 252(3), pages 1031-1039.
    2. V. Galle & V. H. Manshadi & S. Borjian Boroujeni & C. Barnhart & P. Jaillet, 2018. "The Stochastic Container Relocation Problem," Transportation Science, INFORMS, vol. 52(5), pages 1035-1058, October.
    3. Leonard Heilig & Stefan Voß, 2017. "Information systems in seaports: a categorization and overview," Information Technology and Management, Springer, vol. 18(3), pages 179-201, September.
    4. 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.
    5. Zehendner, Elisabeth & Feillet, Dominique & Jaillet, Patrick, 2017. "An algorithm with performance guarantee for the Online Container Relocation Problem," European Journal of Operational Research, Elsevier, vol. 259(1), pages 48-62.
    6. Phan, Mai-Ha & Kim, Kap Hwan, 2016. "Collaborative truck scheduling and appointments for trucking companies and container terminals," Transportation Research Part B: Methodological, Elsevier, vol. 86(C), pages 37-50.
    7. 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).
    8. Galle, Virgile & Barnhart, Cynthia & Jaillet, Patrick, 2018. "A new binary formulation of the restricted Container Relocation Problem based on a binary encoding of configurations," European Journal of Operational Research, Elsevier, vol. 267(2), pages 467-477.
    9. 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.
    10. Caserta, Marco & Schwarze, Silvia & Voß, Stefan, 2012. "A mathematical formulation and complexity considerations for the blocks relocation problem," European Journal of Operational Research, Elsevier, vol. 219(1), pages 96-104.
    11. Ngoc Anh Dung Do & Izabela Ewa Nielsen & Gang Chen & Peter Nielsen, 2016. "A simulation-based genetic algorithm approach for reducing emissions from import container pick-up operation at container terminal," Annals of Operations Research, Springer, vol. 242(2), pages 285-301, July.
    12. Ting, Ching-Jung & Wu, Kun-Chih, 2017. "Optimizing container relocation operations at container yards with beam search," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 17-31.
    13. Mengzhi Ma & Houming Fan & Xiaodan Jiang & Zhenfeng Guo, 2019. "Truck Arrivals Scheduling with Vessel Dependent Time Windows to Reduce Carbon Emissions," Sustainability, MDPI, vol. 11(22), pages 1-26, November.
    14. Zhao, Wenjuan & Goodchild, Anne V., 2010. "The impact of truck arrival information on container terminal rehandling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 327-343, May.
    15. Feng, Yuanjun & Song, Dong-Ping & Li, Dong & Zeng, Qingcheng, 2020. "The stochastic container relocation problem with flexible service policies," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 116-163.
    16. Zweers, Bernard G. & Bhulai, Sandjai & van der Mei, Rob D., 2020. "Optimizing pre-processing and relocation moves in the Stochastic Container Relocation Problem," European Journal of Operational Research, Elsevier, vol. 283(3), pages 954-971.
    17. 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.
    18. Azab, Ahmed & Morita, Hiroshi, 2022. "The block relocation problem with appointment scheduling," European Journal of Operational Research, Elsevier, vol. 297(2), pages 680-694.
    19. Chen, Gang & Govindan, Kannan & Yang, Zhongzhen, 2013. "Managing truck arrivals with time windows to alleviate gate congestion at container terminals," International Journal of Production Economics, Elsevier, vol. 141(1), pages 179-188.
    20. Jin, Bo, 2020. "On the integer programming formulation for the relaxed restricted container relocation problem," European Journal of Operational Research, Elsevier, vol. 281(2), pages 475-482.
    21. Silva, Marcos de Melo da & Erdoğan, Güneş & Battarra, Maria & Strusevich, Vitaly, 2018. "The Block Retrieval Problem," European Journal of Operational Research, Elsevier, vol. 265(3), pages 931-950.
    22. Ji, Mingjun & Guo, Wenwen & Zhu, Huiling & Yang, Yongzhi, 2015. "Optimization of loading sequence and rehandling strategy for multi-quay crane operations in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 1-19.
    23. Chen, Gang & Govindan, Kannan & Yang, Zhong-Zhen & Choi, Tsan-Ming & Jiang, Liping, 2013. "Terminal appointment system design by non-stationary M(t)/Ek/c(t) queueing model and genetic algorithm," International Journal of Production Economics, Elsevier, vol. 146(2), pages 694-703.
    24. Zehendner, Elisabeth & Caserta, Marco & Feillet, Dominique & Schwarze, Silvia & Voß, Stefan, 2015. "An improved mathematical formulation for the blocks relocation problem," European Journal of Operational Research, Elsevier, vol. 245(2), pages 415-422.
    25. 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.
    26. Kim, Kap Hwan & Park, Kang Tae, 2003. "A note on a dynamic space-allocation method for outbound containers," European Journal of Operational Research, Elsevier, vol. 148(1), pages 92-101, July.
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    Cited by:

    1. Lange, Ann-Kathrin & Nellen, Nicole & Jahn, Carlos, 2022. "Truck appointment systems: How can they be improved and what are their limits?," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 615-655, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. 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).
    3. Jin, Bo & Yu, Zhishan & Yu, Mingzhu, 2022. "Inbound container remarshaling problem in an automated container terminal," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).

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