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A study on the support system to examine the ship design and construction strategy using maritime logistics big data

Research Project

Project/Area Number 16H04602
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Naval and maritime engineering
Research InstitutionHiroshima University

Principal Investigator

Hamada Kunihiro  広島大学, 工学研究科, 教授 (40294540)

Co-Investigator(Kenkyū-buntansha) 北村 充  広島大学, 工学研究科, 教授 (40195293)
平田 法隆  広島大学, 工学研究科, 助教 (80181163)
武市 祥司  金沢工業大学, 情報フロンティア学部, 教授 (90291319)
Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥16,770,000 (Direct Cost: ¥12,900,000、Indirect Cost: ¥3,870,000)
Fiscal Year 2018: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2017: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2016: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Keywords船舶設計システム / 海上物流 / 基本計画 / ビッグデータ / AI
Outline of Final Research Achievements

Nowadays, a large amount of data is growing exponentially which forms as Big Data. In maritime industries, maritime logistics Big Data i.e. port data, ship data, route data, international trade data, and data provided by AIS increased rapidly. If these data are effectively utilized, a great innovation might be achieved. The objective of this study is to develop a support system of ship basic planning which can examine the demand and the principal particulars of ship by utilizing the marine logistics Big Data.

Academic Significance and Societal Importance of the Research Achievements

これまで造船におけるビッグデータ利用は生産分野やメインテナンス分野が中心であった.本研究は船舶開発戦略においてビッグデータ利用を検討するものであり,造船におけるビッグデータ利用の新たな可能性を提案している.
また,造船業は需要の山谷の大きな産業であるが,本研究により船舶開発・建造戦略の検討が可能になれば,造船業の持続的・継続的発展に大きく貢献する.さらに,本研究の成果の戦略的運用により,日本が開発・建造する船舶が新たな需要を喚起することも期待される.

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Annual Research Report
  • 2016 Annual Research Report
  • Research Products

    (20 results)

All 2018 2017 2016

All Journal Article (9 results) (of which Peer Reviewed: 9 results) Presentation (11 results) (of which Int'l Joint Research: 4 results,  Invited: 1 results)

  • [Journal Article] A system dynamics model for shipbuilding demand forecasting2018

    • Author(s)
      Wada, Y., Hamada, K., Hirata, N., Seki, K.,Yamada,S.
    • Journal Title

      Journal of Marine Science and Technology

      Volume: 23 Pages: 236-252

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Development of Ship Allocation Models Using Marine Logistics Data and Its Application to Bulk Carrier Demand Forecasting and Basic Planning Support,2018

    • Author(s)
      M D Arifin, Hamada, K., Hirata, N., Ihara, K. and Koide, Y.
    • Journal Title

      日本船舶海洋工学会論文集

      Volume: 27 Pages: 139-148

    • NAID

      130007439593

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Development of the Basic Planning Support System for Tanker using Marine Logistics Big Data2018

    • Author(s)
      Ihara, K.,, Hamada, K., Hirata, N., and M D Arifin
    • Journal Title

      Proc. of TEAM 2018

      Volume: - Pages: 543-550

    • NAID

      40021745814

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A system dynamics model for shipbuilding demand forecasting2018

    • Author(s)
      Wada, Y., Hamada, K., Hirata, N., Seki, K.,Yamada,S
    • Journal Title

      Journal of Marine Science and Technology

      Volume: In press

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Study on the Improvement and Application of System Dynamics Model for Demand Forecasting of Ships2017

    • Author(s)
      Wada, Y., Hamada, K. , Hirata, N.
    • Journal Title

      Proc. of ICCAS 2017

      Volume: 1 Pages: 51-60

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Study On The Support System Of Ship Basic Planning By Using Marine Logistics Big Data2017

    • Author(s)
      Arifin M. D., Hamada K., Hirata N., Ihara K., Koide Y.
    • Journal Title

      Proc. of ICCAS 2017

      Volume: 1 Pages: 61-68

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 不確定性を考慮した配船計画の最適化に関する研究2016

    • Author(s)
      和田祐次郎,濱田邦裕,平田法隆
    • Journal Title

      日本航海学会論文集

      Volume: 135 Pages: 83-96

    • NAID

      130006935865

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 複雑ネットワーク理論を用いた海上輸送ネットワークの最適化手法に関する研究2016

    • Author(s)
      和田祐次郎,濱田邦裕,平田法隆,城塚弓絵
    • Journal Title

      日本航海学会論文集

      Volume: 135 Pages: 97-107

    • NAID

      130006935853

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Development of marine logistic database using Automatic Identification System (AIS) and statistical data2016

    • Author(s)
      Mohammad Danil Arifin, Kunihiro Hamada, Noritaka Hirata, Kazetaro Ouchi
    • Journal Title

      Proc. of TEAM 2016

      Volume: - Pages: 395-402

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed
  • [Presentation] Development of the Basic Planning Support System for Tanker using Marine Logistics Big Data2018

    • Author(s)
      Ihara, K., Hamada, K., Hirata, N. and M D Arifin
    • Organizer
      TEAM 2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 海上物流ビッグデータを利用したタンカーの基本計画支援システムの開発2018

    • Author(s)
      井原海,濱田邦裕,平田法隆,M D Arifin
    • Organizer
      日本船舶海洋工学会講演会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 造船業におけるビッグデータ・IOTの利用の可能性について(海上物流ビッグデータの船舶設計への活用)2018

    • Author(s)
      濱田邦裕
    • Organizer
      日本船舶海洋工学会西部支部シンポジウム「新技術は船を変えられるか?」
    • Related Report
      2017 Annual Research Report
    • Invited
  • [Presentation] A system dynamics model for shipbuilding demand forecasting2017

    • Author(s)
      Wada, Y., Hamada, K., Hirata, N., Seki, K.,Yamada,S.
    • Organizer
      International Conference on Computer Applications in Shipbuilding(ICCAS2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Study On The Support System Of Ship Basic Planning By Using Marine Logistics Big Data2017

    • Author(s)
      Arifin M. D., Hamada K., Hirata N., Ihara K., Koide Y.
    • Organizer
      International Conference on Computer Applications in Shipbuilding(ICCAS2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 海上物流データを利用した配船モデルの構築と船舶需要予測への応用に関する研究2017

    • Author(s)
      濱田邦裕,井原海,平田法隆,Arifin M D
    • Organizer
      日本船舶海洋工学会平成29年度春季講演会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 船舶需要予測用SDモデルの活用に関する研究2017

    • Author(s)
      和田祐次郎,濱田邦裕,平田法隆
    • Organizer
      日本船舶海洋工学会平成29年度春季講演会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 海上物流ビッグデータを利用した船舶の基本計画支援に関する研究2016

    • Author(s)
      小出祐輝
    • Organizer
      平成28年度日本船舶海洋工学会秋季講演会
    • Place of Presentation
      岡山コンベンションセンター
    • Year and Date
      2016-11-21
    • Related Report
      2016 Annual Research Report
  • [Presentation] Development of marine logistic database using Automatic Identification System (AIS) and statistical data2016

    • Author(s)
      Mohammad Danil ARIFIN
    • Organizer
      30th Asian-Pacific Technical Exchange and Advisory Meeting on Marine Structures
    • Place of Presentation
      Mokpo, Korea,
    • Year and Date
      2016-10-10
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 不確定性を考慮した配船計画の最適化に関する研究2016

    • Author(s)
      和田祐次郎
    • Organizer
      日本航海学会第134回講演会
    • Place of Presentation
      神戸勤労会館
    • Year and Date
      2016-05-19
    • Related Report
      2016 Annual Research Report
  • [Presentation] 複雑ネットワーク理論を用いた海上輸送ネットワークの最適化手法に関する研究2016

    • Author(s)
      濱田邦裕
    • Organizer
      日本航海学会第134回講演会
    • Place of Presentation
      神戸勤労会館
    • Year and Date
      2016-05-19
    • Related Report
      2016 Annual Research Report

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Published: 2016-04-21   Modified: 2020-03-30  

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