IDEAS home Printed from https://ideas.repec.org/r/eee/transb/v93y2016ipbp762-788.html
   My bibliography  Save this item

Real-time schedule recovery in liner shipping service with regular uncertainties and disruption events

Citations

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


Cited by:

  1. Dirzka, Christopher & Acciaro, Michele, 2022. "Global shipping network dynamics during the COVID-19 pandemic's initial phases," Journal of Transport Geography, Elsevier, vol. 99(C).
  2. Asghari, Mohammad & Jaber, Mohamad Y. & Mirzapour Al-e-hashem, S.M.J., 2023. "Coordinating vessel recovery actions: Analysis of disruption management in a liner shipping service," European Journal of Operational Research, Elsevier, vol. 307(2), pages 627-644.
  3. Du, Yuquan & Meng, Qiang & Wang, Shuaian & Kuang, Haibo, 2019. "Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 88-114.
  4. Hamed Hasheminia & Changmin Jiang, 2017. "Strategic trade-off between vessel delay and schedule recovery: an empirical analysis of container liner shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(4), pages 458-473, May.
  5. Wang, Bi & Chin, Kwai Sang & Su, Qin, 2022. "Prevention and adaptation to diversified risks in the seaport–dry port system under asymmetric risk behaviors: Invest earlier or wait?," Transport Policy, Elsevier, vol. 125(C), pages 11-36.
  6. Shuaian Wang & Dan Zhuge & Lu Zhen & Chung-Yee Lee, 2021. "Liner Shipping Service Planning Under Sulfur Emission Regulations," Transportation Science, INFORMS, vol. 55(2), pages 491-509, March.
  7. Sun, Xuting & Chung, Sai-Ho & Choi, Tsan-Ming & Sheu, Jiuh-Biing & Ma, Hoi Lam, 2020. "Combating lead-time uncertainty in global supply chain's shipment-assignment: Is it wise to be risk-averse?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 406-434.
  8. Li, Wenjie & Asadabadi, Ali & Miller-Hooks, Elise, 2022. "Enhancing resilience through port coalitions in maritime freight networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 1-23.
  9. Zhen, Lu & Zhuge, Dan & Wang, Shuaian & Wang, Kai, 2022. "Integrated berth and yard space allocation under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 1-27.
  10. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
  11. Li, Linman & Li, Yuqing & Liu, Ran & Zhou, Yaoming & Pan, Ershun, 2023. "A Two-stage Stochastic Programming for AGV scheduling with random tasks and battery swapping in automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
  12. Ming Liu & Zhongzheng Liu & Rongfan Liu & Lihua Sun, 2022. "Distribution-Free Approaches for an Integrated Cargo Routing and Empty Container Repositioning Problem with Repacking Operations in Liner Shipping Networks," Sustainability, MDPI, vol. 14(22), pages 1-25, November.
  13. Kai Wang & Lu Zhen & Shuaian Wang, 2018. "Column Generation for the Integrated Berth Allocation, Quay Crane Assignment, and Yard Assignment Problem," Transportation Science, INFORMS, vol. 52(4), pages 812-834, August.
  14. Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Masoud Kavoosi, 2021. "Vessel scheduling in liner shipping: a critical literature review and future research needs," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 43-106, March.
  15. Dongping Song, 2021. "A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities," Logistics, MDPI, vol. 5(2), pages 1-26, June.
  16. Zhang, An & Qi, Xiangtong & Li, Guanhua, 2020. "Machine scheduling with soft precedence constraints," European Journal of Operational Research, Elsevier, vol. 282(2), pages 491-505.
  17. Lee, Chung-Yee & Song, Dong-Ping, 2017. "Ocean container transport in global supply chains: Overview and research opportunities," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 442-474.
  18. Wang, Shuaian & Wang, Xinchang, 2016. "A polynomial-time algorithm for sailing speed optimization with containership resource sharing," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 394-405.
  19. Sun, Qinghe & Meng, Qiang & Chou, Mabel C., 2021. "Optimizing voyage charterparty (VCP) arrangement: Laytime negotiation and operations coordination," European Journal of Operational Research, Elsevier, vol. 291(1), pages 263-270.
  20. Jeong, Yoonjea & Kim, Gwang, 2023. "Reliable design of container shipping network with foldable container facility disruption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
  21. Sun, X.T. & Chung, S.H. & Chan, Felix T.S. & Wang, Zheng, 2018. "The impact of liner shipping unreliability on the production–distribution scheduling of a decentralized manufacturing system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 242-269.
  22. Judith Mulder & Willem van Jaarsveld & Rommert Dekker, 2019. "Simultaneous Optimization of Speed and Buffer Times with an Application to Liner Shipping," Transportation Science, INFORMS, vol. 53(2), pages 365-382, March.
  23. Zhang, Abraham & Zheng, Zhichao & Teo, Chung-Piaw, 2022. "Schedule reliability in liner shipping timetable design: A convex programming approach," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 499-525.
  24. Bi Wang & Kwai Sang Chin & Qin Su, 2022. "Risk management and market structures in seaport–dry port systems," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(1), pages 114-137, March.
  25. Hu, Xiao-Bing & Zhang, Ming-Kong & Zhang, Qi & Liao, Jian-Qin, 2017. "Co-Evolutionary path optimization by Ripple-Spreading algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 411-432.
  26. Olumide F. Abioye & Maxim A. Dulebenets & Junayed Pasha & Masoud Kavoosi, 2019. "A Vessel Schedule Recovery Problem at the Liner Shipping Route with Emission Control Areas," Energies, MDPI, vol. 12(12), pages 1-28, June.
  27. Xin Wen & Qiong Chen & Yu-Qi Yin & Yui-yip Lau, 2023. "Green Vessel Scheduling with Weather Impact and Emission Control Area Consideration," Mathematics, MDPI, vol. 11(24), pages 1-25, December.
  28. Archetti, Claudia & Peirano, Lorenzo & Speranza, M. Grazia, 2022. "Optimization in multimodal freight transportation problems: A Survey," European Journal of Operational Research, Elsevier, vol. 299(1), pages 1-20.
  29. Dulebenets, Maxim A., 2018. "A comprehensive multi-objective optimization model for the vessel scheduling problem in liner shipping," International Journal of Production Economics, Elsevier, vol. 196(C), pages 293-318.
  30. Mallidis, Ioannis & Iakovou, Eleftherios & Dekker, Rommert & Vlachos, Dimitrios, 2018. "The impact of slow steaming on the carriers’ and shippers’ costs: The case of a global logistics network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 18-39.
  31. Mulder, Judith & Dekker, Rommert, 2019. "Designing robust liner shipping schedules: Optimizing recovery actions and buffer times," European Journal of Operational Research, Elsevier, vol. 272(1), pages 132-146.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.