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The effectiveness was confirmed within the Hitachi Group with “zero customers.” Based on Hitachi’s manufacturing expertise, the formalization process (AI agent) and Hitachi’s unique shape recognition technology were integrated. This created a cycle of “tacit knowledge → explicit knowledge → organizational assets,” enabling continuous improvement of design quality.
Hitachi, Ltd. to support design work for its manufacturing customers.
In recent years, with the shortage of skilled engineers and the challenges of technology transfer, design work requires judgments based on diverse information, including the experience and know-how of skilled workers, technical documents, past defect information, and 3D shape CAD data. However, this knowledge is dispersed and dependent on individuals, requiring a lot of effort to utilize and verify design rules, and resulting in rework and quality inconsistencies due to overlooked checks. As a means of solving these problems, expectations for the use of AI in the manufacturing industry are rising, and the global market size for AI for manufacturing is expected to reach $7.6 billion by 2025, and will expand from $9.85 billion in 2026 to $128.81 billion in 2034, with a high compound annual growth rate (CAGR) of 37.9% during the same period.
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Hitachi is also promoting “DIW (Design Insight Workspace),” a concept for a space that provides designers with wisdom and inspiration to support problem-solving, and has already provided a quality knowledge system that formalizes expert know-how to streamline quality assurance operations. Now, Hitachi has developed this system as a core solution for DIW that supports efficiency and quality improvement in design work, and has added it to the new lineup of “HMAX Industry,” a group of next-generation AI solutions that enhance design quality and productivity through the accumulation and utilization of knowledge.
This system was first tested by Hitachi High-Tech Corporation as part of their “Customer Zero” initiative, where they acted as the first user to verify its effectiveness. The system was tested using a prototype, focusing on the drawing review process for sheet metal and fabricated metalwork. The tests confirmed that the system automatically extracted 100% of the areas where bending, punching, or cutting was difficult, as well as dimensional defects, demonstrating its high effectiveness in reducing the number of times defective design data was passed on to subsequent processes.
Source: PRTimes
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