Accumulating veteran tacit knowledge as organizational knowledge for rubber products.
It is a general-purpose AI that naturally accumulates the experience and judgment criteria of veterans in the rubber products industry and transforms them into organizational knowledge that can be referenced at any time.
For rubber products: The general-purpose AI for knowledge management 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 judged" but also "why it was judged that way." It features AI agent functions that address various aspects of operations, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and the presentation of similar cases during troubleshooting. [Usage Scenarios] - Preserving judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. - Allowing younger or other department members to independently search and reference past judgment bases. - Early identification of risks from project documents during the design and production preparation stages. - Rapid response to issues based on similar cases and countermeasures when problems arise. [Implementation Effects] - Visualization and inheritance of judgment criteria that had become personalized. - Utilization of knowledge that not only allows for searches but also explains "why." - Reduction of rework through early detection of risks. - Shortening of lead times for troubleshooting responses.
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 time ■ Target Departments: Design, production technology, quality assurance, equipment maintenance, etc. ■ Provision Format & Price: Negotiable (price range is "negotiable") ■ Support Content: Please inquire individually
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Accumulating veteran tacit knowledge as organizational knowledge for rubber products.
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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.