IDEAS home Printed from https://ideas.repec.org/r/eee/transb/v86y2016icp37-50.html

Collaborative truck scheduling and appointments for trucking companies and container terminals

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Chang, Ximing & Wu, Jianjun & Correia, Gonçalo Homem de Almeida & Sun, Huijun & Feng, Ziyan, 2022. "A cooperative strategy for optimizing vehicle relocations and staff movements in cities where several carsharing companies operate simultaneously," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
  2. 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).
  3. 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).
  4. Azab, Ahmed & Morita, Hiroshi, 2022. "The block relocation problem with appointment scheduling," European Journal of Operational Research, Elsevier, vol. 297(2), pages 680-694.
  5. 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.
  6. Feng, Xuehao & He, Yucheng & Kim, Kap-Hwan, 2022. "Space planning considering congestion in container terminal yards," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 52-77.
  7. Giuliano, Genevieve & Showalter, Catherine & Yuan, Quan & Zhang, Rui, 2018. "Managing the Impacts of Freight in California," Institute of Transportation Studies, Working Paper Series qt6614p4js, Institute of Transportation Studies, UC Davis.
  8. 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.
  9. 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).
  10. 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.
  11. Houming Fan & Xiaoxue Ren & Zhenfeng Guo & Yang Li, 2019. "Truck Scheduling Problem Considering Carbon Emissions under Truck Appointment System," Sustainability, MDPI, vol. 11(22), pages 1-23, November.
  12. Sanghyuk Yi & Bernd Scholz-Reiter & Taehoon Kim & Kap Hwan Kim, 2019. "Scheduling appointments for container truck arrivals considering their effects on congestion," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 730-762, September.
  13. Ahmet Anil Sezer & Anna Fredriksson, 2021. "Paving the Path towards Efficient Construction Logistics by Revealing the Current Practice and Issues," Logistics, MDPI, vol. 5(3), pages 1-15, August.
  14. Marina Zanne & Elen Twrdy & Bojan Beškovnik, 2021. "The Effect of Port Gate Location and Gate Procedures on the Port-City Relation," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
  15. Chen, Rui & Meng, Qiang & Jia, Peng, 2022. "Container port drayage operations and management: Past and future," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
  16. Roy, Debjit & van Ommeren, Jan-Kees & de Koster, René & Gharehgozli, Amir, 2022. "Modeling landside container terminal queues: Exact analysis and approximations," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 73-102.
  17. 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.
  18. 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).
  19. Ahmed M. Abdelmagid & Mohamed Gheith & Amr Eltawil, 2022. "Scheduling External Trucks Appointments in Container Terminals to Minimize Cost and Truck Turnaround Times," Logistics, MDPI, vol. 6(3), pages 1-22, July.
  20. 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.
  21. 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.
  22. Fang Yu & Chun Zhang & Haiqing Yao & Yongsheng Yang, 2024. "Coordinated scheduling problems for sustainable production of container terminals: a literature review," Annals of Operations Research, Springer, vol. 332(1), pages 1013-1034, January.
  23. Valentin Carlan & Dries Naudts & Pieter Audenaert & Bart Lannoo & Thierry Vanelslander, 2019. "Toward implementing a fully automated truck guidance system at a seaport: identifying the roles, costs and benefits of logistics stakeholders," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-24, December.
  24. 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.
  25. 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.
  26. 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).
  27. Zhihong Jin & Xin Lin & Linlin Zang & Weiwei Liu & Xisheng Xiao, 2021. "Lane Allocation Optimization in Container Seaport Gate System Considering Carbon Emissions," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
  28. 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.
  29. 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.
  30. Budhi S. Wibowo & Jan C. Fransoo, 2023. "Performance analysis of a drop-swap terminal to mitigate truck congestion at chemical sites," Flexible Services and Manufacturing Journal, Springer, vol. 35(2), pages 416-454, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.