IDEAS home Printed from https://ideas.repec.org/r/inm/ortrsc/v49y2015i4p922-938.html
   My bibliography  Save this item

Joint Planning of Fleet Deployment, Speed Optimization, and Cargo Allocation for Liner Shipping

Citations

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


Cited by:

  1. Gu, Yewen & Wallace, Stein W. & Wang, Xin, 2016. "Integrated maritime bunker management with stochastic fuel prices and new emission regulations," Discussion Papers 2016/13, Norwegian School of Economics, Department of Business and Management Science.
  2. Zhen, Lu & Hu, Yi & Wang, Shuaian & Laporte, Gilbert & Wu, Yiwei, 2019. "Fleet deployment and demand fulfillment for container shipping liners," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 15-32.
  3. Yadong Wang & Qiang Meng & Haibo Kuang, 2019. "Intercontinental Liner Shipping Service Design," Transportation Science, INFORMS, vol. 53(2), pages 344-364, March.
  4. Koza, David Franz, 2019. "Liner shipping service scheduling and cargo allocation," European Journal of Operational Research, Elsevier, vol. 275(3), pages 897-915.
  5. Chao-Feng Gao & Zhi-Hua Hu, 2021. "Speed Optimization for Container Ship Fleet Deployment Considering Fuel Consumption," Sustainability, MDPI, vol. 13(9), pages 1-18, May.
  6. Sun, Qinghe & Li, Wei & Meng, Qiang, 2024. "Single-leg shipping revenue management for expedited services with ambiguous elasticity in transit-time-sensitive demand," Transportation Research Part B: Methodological, Elsevier, vol. 180(C).
  7. Trivella, Alessio & Corman, Francesco & Koza, David F. & Pisinger, David, 2021. "The multi-commodity network flow problem with soft transit time constraints: Application to liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
  8. Zhen, Lu & Wang, Kai & Wang, Shuaian & Qu, Xiaobo, 2018. "Tug scheduling for hinterland barge transport: A branch-and-price approach," European Journal of Operational Research, Elsevier, vol. 265(1), pages 119-132.
  9. Zhen, Lu & Shen, Tao & Wang, Shuaian & Yu, Shucheng, 2016. "Models on ship scheduling in transshipment hubs with considering bunker cost," International Journal of Production Economics, Elsevier, vol. 173(C), pages 111-121.
  10. Wang, Yadong & Meng, Qiang & Du, Yuquan, 2015. "Liner container seasonal shipping revenue management," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 141-161.
  11. Yang, Dong & Zhang, Lingge & Luo, Meifeng & Li, Feng, 2020. "Does shipping market affect international iron ore trade?– An equilibrium analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
  12. Mulder, J. & Dekker, R., 2016. "Will liner ships make fewer port calls per route?," Econometric Institute Research Papers EI2016-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  13. Wang, Yadong & Wang, Shuaian, 2021. "Deploying, scheduling, and sequencing heterogeneous vessels in a liner container shipping route," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
  14. Xi Jiang & Haijun Mao & Yadong Wang & Hao Zhang, 2020. "Liner Shipping Schedule Design for Near-Sea Routes Considering Big Customers’ Preferences on Ship Arrival Time," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
  15. Yiwei Wu & Hongyu Zhang & Fei Li & Shuaian Wang & Lu Zhen, 2023. "Optimal Selection of Multi-Fuel Engines for Ships Considering Fuel Price Uncertainty," Mathematics, MDPI, vol. 11(17), pages 1-14, August.
  16. Harilaos N. Psaraftis, 2019. "Ship routing and scheduling: the cart before the horse conjecture," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(1), pages 111-124, March.
  17. Kyriakos Skarlatos & Andreas Fousteris & Dimitrios Georgakellos & Polychronis Economou & Sotirios Bersimis, 2023. "Assessing Ships’ Environmental Performance Using Machine Learning," Energies, MDPI, vol. 16(6), pages 1-21, March.
  18. Wang, Yadong & Meng, Qiang & Jia, Peng, 2019. "Optimal port call adjustment for liner container shipping routes," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 107-128.
  19. Wang, Yadong & Meng, Qiang, 2021. "Optimizing freight rate of spot market containers with uncertainties in shipping demand and available ship capacity," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 314-332.
  20. Liqian Yang & Gang Chen & Jinlou Zhao & Niels Gorm Malý Rytter, 2020. "Ship Speed Optimization Considering Ocean Currents to Enhance Environmental Sustainability in Maritime Shipping," Sustainability, MDPI, vol. 12(9), pages 1-24, May.
  21. Christian Va Karsten & Stefan Ropke & David Pisinger, 2018. "Simultaneous Optimization of Container Ship Sailing Speed and Container Routing with Transit Time Restrictions," Transportation Science, INFORMS, vol. 52(4), pages 769-787, August.
  22. Lai, Xiaofan & Wu, Lingxiao & Wang, Kai & Wang, Fan, 2022. "Robust ship fleet deployment with shipping revenue management," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 169-196.
  23. Zhen, Lu & Wu, Yiwei & Wang, Shuaian & Laporte, Gilbert, 2020. "Green technology adoption for fleet deployment in a shipping network," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 388-410.
  24. Yuzhe Zhao & Jingmiao Zhou & Zhongxiu Peng & Peng Jia, 2024. "Joint planning for fuel switching ships in a liner shipping network with transit time," Operational Research, Springer, vol. 24(3), pages 1-36, September.
  25. Wang, Mei-Ru & Li, Zhi-Chun & Fu, Xiaowen & Xiong, Yi, 2024. "Revenue-sharing in the alliance of inland river and sea carriers: Formulation and a case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
  26. Ricardo Fukasawa & Qie He & Fernando Santos & Yongjia Song, 2018. "A Joint Vehicle Routing and Speed Optimization Problem," INFORMS Journal on Computing, INFORMS, vol. 30(4), pages 694-709, November.
  27. 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.
  28. Roar Adland & Pierre Cariou & Francois-Charles Wolff, 2020. "Optimal ship speed and the cubic law revisited: Empirical evidence from an oil tanker fleet," Post-Print hal-03422276, HAL.
  29. Adland, Roar & Cariou, Pierre & Wolff, Francois-Charles, 2020. "Optimal ship speed and the cubic law revisited: Empirical evidence from an oil tanker fleet," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
  30. Yan, Ran & Wang, Shuaian & Du, Yuquan, 2020. "Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
  31. Xue, Yuemei & Lai, Kee-hung, 2023. "Responsible shipping for sustainable development: Adoption and performance value," Transport Policy, Elsevier, vol. 130(C), pages 89-99.
  32. He, Qie & Zhang, Xiaochen & Nip, Kameng, 2017. "Speed optimization over a path with heterogeneous arc costs," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 198-214.
  33. Massimo Giovannini & Harilaos N. Psaraftis, 2019. "The profit maximizing liner shipping problem with flexible frequencies: logistical and environmental considerations," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 567-597, September.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.