Market Context — Why This Technology, Why Now

The global shipbuilding and heavy manufacturing sectors are under intense pressure to enhance efficiency and quality amidst rising material costs, environmental regulations, and fierce international competition. Digital transformation (DX) initiatives are crucial for maintaining competitiveness. This technology provides a foundational DX tool, enabling manufacturers to move beyond traditional, siloed quality control to a fully integrated, data-driven approach that ensures compliance, reduces waste, and accelerates time-to-market.

Key Competitive Advantages
01

Unifies Quality Data: Links design (product model) with actual construction process data, centralizing disparate information to enhance quality management.

02

Optimizes Process Models: Automatically generates optimal construction process models based on simulations, streamlining processes that typically rely on experience and intuition.

03

Ensures Strong IP Protection: Registered after overcoming examiner objections against 5 prior art documents, establishing a robust and stable intellectual property foundation.

Market Opportunity
Shipbuilding Industry
$9.5B–$10.5B globally (AI est.)
Intensifying international competition and environmental regulations necessitate urgent improvements in production efficiency and quality through digital transformation. This technology directly enhances competitiveness.
Major shipbuilding corporations Naval defense contractors Commercial vessel manufacturers
Heavy Machinery & Plant Manufacturing
$33B–$34B globally (AI est.)
Manufacturing processes for large structures share many similarities with shipbuilding, and quality management complexity is high, making this technology broadly applicable.
Industrial equipment OEMs Energy infrastructure developers Construction machinery manufacturers
Aerospace Industry
$13B–$14B globally (AI est.)
This sector demands extremely high reliability and quality, making data integration from design to manufacturing essential for quality assurance.
Aircraft manufacturers Spacecraft component suppliers Defense aerospace contractors
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a broad technical scope with 22 claims, covering the method for building a ship quality database, the program, and the unified data platform. Its robust and stable intellectual property foundation was established by successfully addressing examiner objections against prior art, indicating low invalidation risk and a secure basis for licensees.

Competitive White Space

This patent primarily covers data structure and integration for quality management. White space exists in developing advanced AI-driven predictive maintenance algorithms or integrating specific IoT sensor hardware for real-time data capture beyond the core platform.

Economic Impact
~$0.5M/year estimated quality cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Typical rework and defect rates in shipbuilding are around 5%, incurring costs equivalent to several percent of annual sales. By implementing this technology, which integrates quality data and optimizes processes, the defect rate could be reduced by 2%. For an adopting company with ~$333.5M (AI est.) in annual sales, this could result in over ~$0.5M (AI est.) in annual quality cost savings.

Speed to Market
4× faster than in-house development
This technology establishes clear concepts and linkage methods for product, facility, and process models to address the complex challenge of building a ship quality database. This significantly shortens the period from requirements definition to system design and implementation compared to developing a similar system from scratch. Efficient early deployment is possible by developing data linkage interfaces with existing design and production management systems.
Competitive Positioning

X: Quality Data Integration
Y: Process Optimization Efficiency

Business Models & Applications
📄 Technology Licensing
Granting usage rights for this technology, allowing licensees to integrate the quality database construction program and platform into their own systems.
☁️ Integrated Platform as a Service
Providing a cloud-based unified data platform as a SaaS offering. Licensees can access advanced quality management features with reduced upfront investment.
📊 Data Analytics & Consulting
Offering high-value services to support manufacturing process improvements and build quality prediction models based on accumulated quality data.
Adjacent Application Opportunities
🏗️ Construction & Infrastructure
Quality Management for Large-Scale Structures
In the construction of high-rise buildings, bridges, and dams, linking design models with on-site construction quality data could enhance transparency and traceability, potentially reducing long-term maintenance costs by 10-15%.
🚗 Automotive & Parts Manufacturing
Production Quality Optimization for Complex Products
Integrating quality data from diverse components with design information in automotive manufacturing lines could identify production bottlenecks and detect defect causes early, potentially reducing recall risks by ~20%.
⚙️ Heavy Industry & Machine Manufacturing
Quality Assurance for Custom-Engineered Products
For custom-engineered products common in heavy industry, linking individual designs (product models) with manufacturing processes (facility and process models) could ensure high-precision quality assurance and improve on-time delivery rates by 15%.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Conceptual Design & Requirements Definition
Duration: 3 months
Evaluates integration potential with existing systems, defines data linkage specifications and system requirements. Assesses digitalization status of product and facility models to design necessary data structures.
Phase 2: System Development & Data Integration
Duration: 6 months
Develops integration modules between the quality database and the licensee's design (CAD/PLM) and production management (MES/ERP) systems based on defined requirements. Verifies data acquisition, storage, and association functions in a test environment.
Phase 3: Full Operation & Impact Verification
Duration: 3 months
After test operation, the system goes live in the production environment. Quality management indicators (defect rates, rework hours, etc.) are monitored based on acquired quality data to quantitatively evaluate the specific benefits of the technology.
Technical Feasibility
This technology defines clear data structures and linkage logic for product, facility, and process models within its patent claims, facilitating data extraction, conversion, and integration with existing CAD/PLM and MES/ERP systems. This enables software-centric implementation. By utilizing generic database technologies and data integration interfaces, it offers high feasibility for deployment on existing information system infrastructures without requiring significant capital investment.
Success Scenario
Upon adoption, this technology could enable companies to manage shipbuilding quality data integrated with design information, potentially accelerating the identification of impact areas during design changes and the early detection and resolution of quality issues in manufacturing. This is estimated to reduce rework man-hours by 20% annually and shorten shipbuilding lead times by 15%. Consequently, enhanced customer satisfaction and strengthened market competitiveness are expected.
Patent Record
APPLICATION NO.
特願2021-205643
REGISTRATION NO.
7429986
FILING DATE
2021/12/20
GRANT DATE
2024/02/01
EXPIRATION DATE
2041/12/20
PATENT HOLDER
国立研究開発法人　海上・港湾・航空技術研究所
Examination History
2023年07月19日
早期審査に関する事情説明書
2023年07月19日
出願審査請求書
2023年08月29日
早期審査に関する通知書
2023年09月26日
拒絶理由通知書
2023年11月08日
意見書
2023年11月08日
手続補正書（自発・内容）
2024年01月09日
特許査定