Optimal economic operation and preventive maintenance using big data

「The ammonia-fueled tugboat developed with the grant was completed in August 2024 and began operating at Yokohama Port as the world’s first commercial ammonia-fueled vessel. Through the vessel’s actual operations, the Company confirmed that burning ammonia can significantly reduce GHG emissions while maintaining safety, and consequently that ammonia is highly effective as a next-generation marine fuel.」

「AI活用やデータドリブンな安全・効率運航が重要視される中、船舶のサイバーセキュリティ対策を強化することで、将来の自律運航を見据えた高度な安全性と信頼性の構築を図っています。」

「There were no material changes in the status of the Group’s research and development activities during the current interim consolidated accounting period.」

「The Group formed the Designing the Future of Full Autonomous Ship (DFFAS) consortium with more than 30 companies and organizations and began participating in the Nippon Foundation’s unmanned vessel project “MEGURI2040” in February 2020. In February 2022, it became the first in the world to successfully conduct a demonstration of autonomous operation on a coastal route, including areas with extremely heavy vessel traffic. It continues to participate in the project as the DFFAS+ consortium, corresponding to Phase 2.」

「There were no material changes in the status of the Group's research and development activities during the third quarter of the current consolidated cumulative period.」

「There were no material changes in the status of the Group's research and development activities during the second quarter of the current consolidated cumulative period.」

「There were no material changes in the status of the Group's research and development activities during the first quarter of the current consolidated cumulative period.」

「In addition to further advancing the research described above, the Company is working to develop a next-generation common simulation platform for sustainable maritime logistics through the MODE social collaboration program at the University of Tokyo, advance technology development in the maritime sector using digital engineering, and develop human resources with advanced expertise in these model-based development and model-based systems engineering fields.」

「There were no material changes in the status of the Group's research and development activities during the third quarter of the current consolidated cumulative period.」

「There were no material changes in the status of the Group's research and development activities during the second quarter of the current consolidated cumulative period.」

「There were no material changes in the status of the Group's research and development activities during the first quarter of the current consolidated cumulative period.」

「Specifically, to reduce greenhouse gas (GHG) emissions and ensure safe ship operations, the Company conducts a broad range of research, using technologies including analysis of actual vessel-operation data and advanced simulation, into autonomous ship operation, autonomous engine-propulsion plant operation, vessels operating on alternative fuels such as ammonia, hull-form improvements and next-generation SIMS.」

「There were no material changes in the status of the Group's research and development activities during the third quarter of the current consolidated cumulative period.」

「There were no material changes in the status of the Group's research and development activities during the first quarter of the current consolidated cumulative period.」

「Specifically, the Company is advancing research and development across a broad range of fields, including the advanced automation of vessels through systems integration, such as autonomous ship operation, autonomous engine-propulsion plant operation and electrification; improvements in propulsion efficiency through hull-form enhancements; activities to reduce GHG emissions through improved ship operations; and stronger cybersecurity for vessels, while further developing these technologies.」

「The Company conducts a broad range of research and development activities, including the use of big data, condition monitoring and failure prediction for onboard plants, autonomous ship operation, and cybersecurity for vessels.」

「The Company conducts technology development aimed at improving fuel efficiency and optimizing ship operations by using big data obtained onboard vessels, as well as research and development into condition monitoring and failure prediction for onboard plants. In addition to MTI, it also conducts cutting-edge research, including autonomous ship operation, with partner companies centered on its subsidiary 日本海洋科学.」

「Centered on its wholly owned subsidiary MTI, the Company conducts technology development aimed at improving fuel efficiency and optimizing ship operations through the use of big data, including meteorological, oceanographic and vessel-operation data, as well as research and development into condition monitoring and failure prediction for onboard plants. It also conducts research into advanced technologies related to networking and automation, including cybersecurity.」

「The Company worked to reduce vessel and operating costs, centered on optimized economic ship operations and vessel deployment suited to route conditions.」

「The Company worked to reduce vessel and operating costs, centered on optimized economic ship operations and vessel deployment suited to route conditions.」

「From a cost perspective, as in the previous fiscal year, we worked to reduce vessel and operating expenses by pursuing cargo-carrying efficiency, deploying new 14,000 TEU-class container vessels with superior fuel efficiency, and focusing on optimal economical operations and vessel allocation.」

「Centered on its wholly owned subsidiary MTI, the Company conducts research and development into applications that use shared meteorological, oceanographic and vessel-operation data between ships and shore to achieve optimized ship operations, as well as applications for monitoring the condition of onboard plants and predicting failures. It is also advancing research and development from both the software and hardware perspectives, including improving fuel efficiency by modifying hulls based on actual vessel-operation data, while utilizing the big data held by the Group.」

「The Group continued to increase contracts less susceptible to short-term market fluctuations and pursue cost reductions, including through more efficient vessel operations. In addition, it sought to improve profitability by reducing ballast voyages through more efficient combinations of cargoes and vessel deployment.」

「The Company also continued to pursue optimized economic ship operations, including improving transport efficiency through the use of short-term charters and deployment of larger vessels, vessel deployment tailored to the characteristics of each service, and efficient deployment plans that avoid unnecessary costs, in an effort to improve resilience to the sluggish market.」

「The Company continued to pursue optimized economic ship operations, including vessel deployment tailored to the characteristics of each service and efficient deployment plans that avoid unnecessary costs, in an effort to improve resilience to the sluggish market.」

「Together with its wholly owned subsidiary MTI, the Company continues the IBIS project, which shares meteorological, oceanographic and vessel-operation data between shore and ships and seeks to optimize economic ship operations through the use of big data. It is also advancing a project to monitor the condition of main engines and other equipment to prevent accidents, and is focusing on further enhancing safe ship operations.」