Optimising cargo loading and ship scheduling in tidal areas
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DOI: 10.1016/j.ejor.2019.08.002
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Cited by:
- Zhang, Yue & Feng, Qiang & Fan, Dongming & Ren, Yi & Sun, Bo & Yang, Dezhen & Wang, Zili, 2023. "Optimization of maritime support network with relays under uncertainty: A novel matheuristics method," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
- 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.
- Lúcio Carlos Pinheiro Campos Filho & Nelio Moura de Figueiredo & Cláudio José Cavalcante Blanco & Maisa Sales Gama Tobias & Paulo Afonso, 2024. "Machine Learning for the Sustainable Management of Depth Prediction and Load Optimization in River Convoys: An Amazon Basin Case Study," Sustainability, MDPI, vol. 16(19), pages 1-22, September.
- Ksciuk, Jana & Kuhlemann, Stefan & Tierney, Kevin & Koberstein, Achim, 2023. "Uncertainty in maritime ship routing and scheduling: A Literature review," European Journal of Operational Research, Elsevier, vol. 308(2), pages 499-524.
- Petris, Matteo & Pellegrini, Paola & Pesenti, Raffaele, 2022. "Models and algorithms for an integrated vessel scheduling and tug assignment problem within a canal harbor," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1120-1135.
- Shu, Yaqing & Han, Bingyu & Song, Lan & Yan, Tao & Gan, Langxiong & Zhu, Yuxin & Zheng, Chunmiao, 2024. "Analyzing the spatio-temporal correlation between tide and shipping behavior at estuarine port for energy-saving purposes," Applied Energy, Elsevier, vol. 367(C).
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Keywords
OR in maritime industry; Simulation; Scheduling; Robust optimisation; Particle swarm optimisation;All these keywords.
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