Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data

•Real voyage report data of two large containerships.•Ship fuel efficiency modeling through artificial neural network.•Three optimal solution countermeasures for daily speed and trim optimization.•Dynamic programming and simulation-based optimization approach.•Considerable bunker fuel savings and mi...

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Veröffentlicht in:	Transportation research. Part B: methodological 2019-04, Vol.122, p.88-114
Hauptverfasser:	Du, Yuquan, Meng, Qiang, Wang, Shuaian, Kuang, Haibo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Bunkers (fuel) Carbon dioxide Carbon dioxide emissions Cargo ships Computer simulation Data-driven optimization Dynamic programming Energy efficiency Fuel consumption Fuel economy Global optimization Mathematical models Mitigation Neural network Neural networks Optimization techniques Sailing Ship fuel efficiency Shipping Speed optimization Trim optimization Waypoints Weather
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