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A study on the decision support system for ship development strategy to realize the value chain of maritime industries

Research Project

Project/Area Number 20H02371
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 24020:Marine engineering-related
Research InstitutionHiroshima University

Principal Investigator

Hamada Kunihiro  広島大学, 先進理工系科学研究科(工), 教授 (40294540)

Co-Investigator(Kenkyū-buntansha) 満行 泰河  横浜国立大学, 大学院工学研究院, 准教授 (40741335)
和中 真之介  国立研究開発法人海上・港湾・航空技術研究所, その他部局等, 研究員 (50846863)
Project Period (FY) 2020-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥17,810,000 (Direct Cost: ¥13,700,000、Indirect Cost: ¥4,110,000)
Fiscal Year 2022: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2021: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2020: ¥7,670,000 (Direct Cost: ¥5,900,000、Indirect Cost: ¥1,770,000)
Keywords船舶設計システム / 価値連鎖 / 海事クラスタ / 設計支援 / 需要予測 / 船舶動静データ
Outline of Research at the Start

日本の海事産業の持続的発展のためには海事クラスタを有効に利用し,その価値連鎖を実現することが極めて重要と指摘されている.しかしながら,船舶の性能向上や長寿命化により船舶の運用がどのように変わり,そのライフサイクルにおいてどのような価値を創成するかについては,現状の設計支援システムでは検討することができない.
本研究では,船舶の性能向上や長寿命化,コストダウンなどが,船舶の運用に与える影響を定量的に検討できるシステム環境を開発し,海事クラスタ全体の価値連鎖を考慮して船舶性能向上の方向性を検討するための新たな設計支援の枠組を提案する.

Outline of Final Research Achievements

It is very important to achieve the value chain of the maritime cluster in Japan, in order to realize the sustainable development of maritime industries. However, the most of the current ship design system only support the decision from the viewpoints of shipyards and we cannot examine the changes of lifecycle value of ships including the ship operation which are caused by the ship performance improvements, cost down and so on.
By the way, in marine industries, big data in the form of Automatic Identification System (AIS) data, ship principal dimension, port facilities, shipping routes and international trade data has been increased significantly. It is possible to acquire the insights of shipping industry activities with effective utilization of big data.
Therefore, ship basic planning support system using maritime is developed in this study, which can predict the demand of ships and change of ship value by the performance improvement, ship size and so on.

Academic Significance and Societal Importance of the Research Achievements

これまでの船舶設計システムは造船所の意思決定を支援するものであった.本研究では運用中の効果やルールの影響なども含めより広い範囲から船舶設計を捉えており,船舶設計における検討範囲を大幅に拡大している.このような研究は海事クラスタが集積する日本でのみ実施可能な創造性の高い研究である.

Report

(4 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Annual Research Report
  • 2020 Annual Research Report
  • Research Products

    (28 results)

All 2022 2021 2020

All Journal Article (9 results) (of which Peer Reviewed: 9 results,  Open Access: 4 results) Presentation (19 results) (of which Int'l Joint Research: 8 results,  Invited: 1 results)

  • [Journal Article] 海上物流ビッグデータを用いた ケープサイズバルカー市況の予測に関する研究2022

    • Author(s)
      和田祐次郎, 平山大貴, 濱田邦裕, 渡邊大介, 五十嵐祐介, 間島隆博
    • Journal Title

      海運経済研究

      Volume: 56 Pages: 1-9

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed
  • [Journal Article] An expanded application of Basic Ship-Planning Support System using Big Data in Maritime Logistics for Panamax and Capesize Dry Bulk Carriers2022

    • Author(s)
      DAF Muzhoffar, K Hamada,T Saito, Y Wada, H Harada
    • Journal Title

      Proceedings of the 20th International Conference on Computer Applications in Shipbuilding (ICCAS2022)

      Volume: -

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Development of a Shipping Market Forecasting System Using Vessel Movement Data and its Practical Application2022

    • Author(s)
      Yujiro Wada, Kunihiro Hamada, Hiroki Hirayama, Takahiro Majima, Daisuke Watanabe, Yusuke Igarashi
    • Journal Title

      Proceedings of the 20th International Conference on Computer Applications in Shipbuilding (ICCAS2022)

      Volume: -

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Comprehensive Evaluation of Vessel Movement Data Reliability2022

    • Author(s)
      D.A.F. Muzhoffar, Yujiro Wada, Kunihiro Hamada, Takumi Kamata, Daisuke Watanabe, Yusuke Igarashi, Takahiro Majima
    • Journal Title

      Proceedings of The 9th International Conference on Transportation & Logistics(T-LOG 2022)

      Volume: -

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Basic Ship-Planning Support System Using Big Data in Maritime Logistics for Simulating Demand Generation2022

    • Author(s)
      Muzhoffar Dimas Angga Fakhri、Hamada Kunihiro、Wada Yujiro、Miyake Yusuke、Kawamura Shun
    • Journal Title

      Journal of Marine Science and Engineering

      Volume: 10 Issue: 2 Pages: 186-186

    • DOI

      10.3390/jmse10020186

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Long-Term Ship Position Prediction Using Automatic Identification System (AIS) Data and End-to-End Deep Learning2021

    • Author(s)
      Ibadurrahman、Hamada Kunihiro、Wada Yujiro、Nanao Jota、Watanabe Daisuke、Majima Takahiro
    • Journal Title

      Sensors

      Volume: 21 Issue: 21 Pages: 7169-7169

    • DOI

      10.3390/s21217169

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Shipbuilding capacity optimization using shipbuilding demand forecasting model2021

    • Author(s)
      Wada Yujiro、Hamada Kunihiro、Hirata Noritaka
    • Journal Title

      Journal of Marine Science and Technology

      Volume: 27 Issue: 1 Pages: 522-540

    • DOI

      10.1007/s00773-021-00852-8

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Evaluation of GHG Emission Measures Based on Shipping and Shipbuilding Market Forecasting2021

    • Author(s)
      Wada Yujiro、Yamamura Tatsumi、Hamada Kunihiro、Wanaka Shinnosuke
    • Journal Title

      Sustainability

      Volume: 13 Issue: 5 Pages: 2760-2760

    • DOI

      10.3390/su13052760

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] 価値を産み出す-システムズアプローチによる船体構造DTの社会実装の検討-2021

    • Author(s)
      濱田邦裕,満行泰河
    • Journal Title

      日本船舶海洋工学会誌

      Volume: 94 Pages: 38-43

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Presentation] 海事産業における SDGs 達成のための SD モデルの開発2022

    • Author(s)
      和田祐次郎, 山村巽, 濱田邦裕, 和中真之介, 川北千春
    • Organizer
      日本船舶海洋工学会春季講演会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 船舶動静データの信頼性の総合的評価に関する研究2022

    • Author(s)
      和田祐次郎, 鎌田拓実, 濱田邦裕, 五十嵐祐介, 渡邊大介, 間島隆博
    • Organizer
      日本船舶海洋工学会春季講演会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 船舶動静情報を活用した海運市況予測システムの構築とその実用化に関する研究2022

    • Author(s)
      和田祐次郎, 平山大貴, 濱田邦裕, 五十嵐, 祐介, 渡邊大介, 間島隆博
    • Organizer
      日本船舶海洋工学会春季講演会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 海上物流ビッグデータを利用した船舶基本計画支援システムのパナマックスバルクキャリアへの適用2022

    • Author(s)
      斎藤尭, Dimas Angga Fakhri Muzhoffar, 和田祐次郎, 原田寛, 濱田邦裕
    • Organizer
      日本船舶海洋工学会秋季講演会
    • Related Report
      2022 Annual Research Report
  • [Presentation] An expanded application of Basic Ship-Planning Support System using Big Data in Maritime Logistics for Panamax and Capesize Dry Bulk Carriers2022

    • Author(s)
      DAF Muzhoffar, K Hamada,T Saito, Y Wada, H Harada
    • Organizer
      International Conference on Computer Applications in Shipbuilding
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Development of a Shipping Market Forecasting System Using Vessel Movement Data and its Practical Application2022

    • Author(s)
      Yujiro Wada, Kunihiro Hamada, Hiroki Hirayama, Takahiro Majima, Daisuke Watanabe, Yusuke Igarashi
    • Organizer
      International Conference on Computer Applications in Shipbuilding
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Comprehensive Evaluation of Vessel Movement Data Reliability2022

    • Author(s)
      D.A.F. Muzhoffar, Yujiro Wada, Kunihiro Hamada, Takumi Kamata, Daisuke Watanabe, Yusuke Igarashi, Takahiro Majima
    • Organizer
      International Conference on Transportation & Logistics
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 船体構造デジタルツインが海事産業に価値を生み出すために2022

    • Author(s)
      濱田邦裕
    • Organizer
      ウェビナー「海事産業のDX実現に向けてー船体構造デジタルツインの研究開発 成果報告ー」,日本船舶技術研究協会
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] Enhancement of a ship basic planning support system by using maritime logistics big data and its application to basic planning of bulk carrier2021

    • Author(s)
      Muzhoffar, D.A.F., Hamada, K., Wada, Y., Miyake, Y., and Kawamura, S.
    • Organizer
      International Conference on Ships and Offshore Structures (ICSOS 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Long-Term Ship Position Prediction Using Automatic Identification System (AIS) Data and End-to-End Deep Learning2021

    • Author(s)
      Ibadurrahman, Kunihiro Hamada, Yujiro Wada, Jota Nanao, Daisuke Watanabe, and Takahiro Majima
    • Organizer
      29th Conference of the International Association of Maritime Economists (2021 IAME Conference)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] An Integrated Simulation of Shipping Market and Ship Operation Model to Study Future Strategy of GHG Zero Emission Vessels2021

    • Author(s)
      Shinnosuke Wanaka, Yujiro Wada, Tatsumi Yamamura, Chiharu Kawakita, Kunihiro Hamada
    • Organizer
      29th Conference of the International Association of Maritime Economists (2021 IAME Conference)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Long-Term Ship Position Prediction Using AIS Data and Deep Learning2021

    • Author(s)
      Ibadurrahman, Kunihiro Hamada, Yujiro Wada, Jota Nanao, Daisuke Watanabe, and Takahiro Majima
    • Organizer
      2021年度日本船舶海洋工学会春季講演会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 海上物流ビッグデータを利用した配船モデルの構築と船舶需要創出のためのシミュレーション2021

    • Author(s)
      河村駿,濱田邦裕,和田祐次郎,Dimas Angga Fakhri Muzhoffar
    • Organizer
      2021年度日本船舶海洋工学会秋季講演会
    • Related Report
      2021 Annual Research Report
  • [Presentation] Dry Bulk Freight Rate Forecasting based on Maritime Big Data Using Deep Learning2021

    • Author(s)
      和田祐次郎, 平山大貴, 河原大輝, 濱田邦裕, 七尾丈太, 渡邊大介, 間島隆博
    • Organizer
      29th Conference of the International Association of Maritime Economists (2021 IAME Conference)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Evaluation of GHG emission measures based on shipping and shipbuilding market forecasting2020

    • Author(s)
      Wada, Y., Yamamura, T., Hamada, K. and Hirata, N.
    • Organizer
      8th International Conference on Transportation and Logistics
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] システムズアプローチによる船体構造デジタルツインシステムの社会実装シナリオの提案2020

    • Author(s)
      濱田邦裕,満行泰河
    • Organizer
      日本船舶海洋工学会講演会 Vol.30
    • Related Report
      2020 Annual Research Report
  • [Presentation] 海運・造船市場におけるGHG排出規制の影響評価に関する研究2020

    • Author(s)
      和田祐次郎, 山村巽, 濱田邦裕, 平田法隆
    • Organizer
      日本船舶海洋工学会講演会 Vol.30
    • Related Report
      2020 Annual Research Report
  • [Presentation] 船社データを用いた船舶動静データの信頼性評価に関する研究2020

    • Author(s)
      鎌田拓実,濱田邦裕,和田祐次郎,七尾丈太,渡邊大介,間島隆博
    • Organizer
      日本船舶海洋工学会講演会 Vol.30
    • Related Report
      2020 Annual Research Report
  • [Presentation] 海運・造船市場モデルと運航モデルの統合によるゼロエミッション船導入戦略の検討2020

    • Author(s)
      和中真之介, 和田祐次郎, 山村巽, 川北千春, 濱田邦裕
    • Organizer
      日本船舶海洋工学会講演会 Vol.31
    • Related Report
      2020 Annual Research Report

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Published: 2020-04-28   Modified: 2024-01-30  

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