Accumulating veteran tacit knowledge as organizational knowledge for shipbuilding equipment.
Accumulating veteran tacit knowledge as organizational knowledge for shipbuilding equipment.
It is a general-purpose AI that naturally accumulates the experience and judgment criteria of veterans in the shipbuilding machinery industry and transforms it into organizational knowledge that can be referenced at any time.
For shipbuilding machinery: General-purpose AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a manufacturing industry-specific organizational knowledge AI platform that can be utilized as a company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was decided" but also "why that decision was made." It includes AI agent functions that address various aspects of operations, such as risk detection in project documents, linked searches between 3D drawings and knowledge, and presenting similar cases during trouble response. 【Usage Scenarios】 ■ Preserve judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. ■ Allow younger or other department members to independently search and reference past decision-making bases. ■ Early identification of risks from project documents during the design and production preparation stages. ■ Respond quickly during trouble occurrences based on similar cases and countermeasure proposals. 【Implementation Effects】 ■ Visualization and inheritance of previously personalized judgment criteria. ■ Utilization of knowledge that not only allows for searches but also explains "why." ■ Reduction of rework through early detection of risks. ■ Shortening of lead time for trouble response.
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basic information
【Features】 ■ Naturally accumulate the tacit knowledge of experts from daily operations and conversations ■ Structure and save not only the "judgment results" but also the "background and reasons for the judgments" ■ Knowledge search combining RAG (Retrieval-Augmented Generation) and BrainModel ■ Agent functions for risk prevention, 3D drawing integration, and troubleshooting 【Provided Content】 ■ Target Operations: Each process in manufacturing, including design, production preparation, production, and equipment maintenance ■ Main Uses: Accumulation of tacit knowledge, knowledge search, risk prevention, and troubleshooting support ■ Main Functions: Knowledge search using RAG×BrainModel, risk prevention agent, 3D drawing knowledge agent, troubleshooting agent ■ Implementation Effects: Inheritance of judgment criteria, improved search accuracy, reduction of rework, and shortened response lead times ■ Target Departments: Design, production technology, quality assurance, equipment maintenance, etc. ■ Provision Format & Price: Negotiable (price range is "negotiable") ■ Support Content: Please contact us individually for inquiries
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LIGHTz Inc. is engaged in the AI transformation and practical application support of specialist thinking, the development of next-generation information media, and the development of social application models for robots. Our business philosophy is to "provide high-quality awareness to people and society," and through this, we aim to contribute to the rich growth of the world.
