Art

J-GLOBAL ID：201802242791810886   Reference number：18A1760116

Development of Ship Allocation Models using Marine Logistics Data and its Application to Bulk Carrier Demand Forecasting and Basic Planning Support

船舶物流データを用いた船舶割当モデルの開発とそのばら積貨物船需要予測や基本計画支援への適用

Author (5)： Arifin Mohammad Danil (Graduate School of Engineering, Hiroshima University) ,  Hamada Kunihiro (Graduate School of Engineering, Hiroshima University) ,  Hirata Noritaka (Graduate School of Engineering, Hiroshima University) ,  Ihara Kai (Graduate School of Engineering, Hiroshima University) ,  Koide Yuki (Graduate School of Engineering, Hiroshima University)
Material： 日本船舶海洋工学会論文集  (Journal of the Japan Society of Naval Architects and Ocean Engineers)
Volume： 27  Page： 139-148(J-STAGE)  Publication year： 2018 
JST Material Number： G0242B  ISSN： 1880-3717  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *ocean ,  *logistics ,  *bulk carrier ,  *cargo transportation ,  statistical analysis ,  Machine Learning ,  analytical model ,  data analysis ,  shipper ,  ship owner ,  operator (worker) ,  *demand forecasting ,  ship ,  pattern recognition ,  foreign trade ,  port (harbor) ,  schematic design ,  deep learning
Semi thesaurus term： bulk carrier ,  Analytic Hierarchy Process ,  schematic design ,  *船舶配置モデル ,  要目表

JST classification (1)： Waterborne transportation and service,etc.  (TD01010U)

Reference (23)：

• 1) Van Heyningen M. K., The Buzz of Big Data, Ship Insight, pp. 35-41, 2015.
• 2) Hossein H. and Emmanuel S. S., Forecasting with Big Data; A Review, Springer, pp. 5-19, 2015.
• 3) Chase C. W., Jr., Using Big Data to Enhance Demand-Driven Forecasting and Planning, JBF, 32(2), pp. 26-32, 2013.
• 4) Hiekata. K., Yamato H., et al., Study on Improving Accuracy for Edge Measurement Using 3D Laser Scanner, IFIP Advances in Information and Communication Technology, 442, pp. 427-434, 2014.
• 5) Aoyama K., Liu J., and Hiro Y., Monitoring System for Advanced Shipbuilding Construction Management: Extracting and Utilizing Monitoring Data by Considering the Reliability of Monitored Data, ICCAS, pp. 143-154, 2015.

Terms in the title (9)： 船舶 ,  物流 ,  割当 ,  モデル ,  開発 ,  ばら積貨物船 ,  需要予測 ,  計画 ,  支援