Accumulating veteran tacit knowledge as organizational knowledge for resin molding.
Accumulating veteran tacit knowledge as organizational knowledge for resin molding.
It is a general-purpose AI that naturally accumulates the experience and judgment criteria of veterans in the resin molding industry and transforms it into organizational knowledge that can be referenced at any time.
For resin molding: The general-purpose AI for knowledge management naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a "knowledge infrastructure" for companies through a manufacturing industry-specific organizational knowledge AI platform. It structures and accumulates the experiences 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 tailored to various aspects of operations, such as risk detection in project documents, integrated searches between 3D drawings and knowledge, and presenting similar cases during troubleshooting. [Usage Scenarios] ■ Preserving judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans ■ Allowing younger employees and members from other departments 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 were previously 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 time for troubleshooting responses
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basic information
【Features】 ■ Naturally accumulates the tacit knowledge of experts from daily operations and conversations ■ Structures and saves 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, 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, 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 contact us individually for inquiries.
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Company information
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.
