A decision support system for vessel speed decision in maritime logistics using weather archive big data
DOI10.1016/j.cor.2017.06.005zbMath1391.90348OpenAlexW2625110632MaRDI QIDQ1651678
Saowanit Lekhavat, Nursen Aydin, Habin Lee, Zahir Irani, Young-Seok Choi
Publication date: 12 July 2018
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2017.06.005
particle swarm optimizationliner shippingspeed optimizationsustainable maritime logisticsweather archive data
Applications of statistics in engineering and industry; control charts (62P30) Applications of mathematical programming (90C90) Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Case-oriented studies in operations research (90B90) Traffic problems in operations research (90B20) General considerations in statistical decision theory (62C05)
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Cites Work
- Integrated maritime fleet deployment and speed optimization: case study from RoRo shipping
- An artificial neural network based decision support system for energy efficient ship operations
- A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery
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