What are the solutions to the "crisis of skill inheritance in the manufacturing industry" using local LLMs?

basic information

**Purpose of this White Paper** ■ Transplanting "Judgment" What is lost with the retirement of veterans is not "knowledge," but the "judgment" on the ground. We will explain methods to transplant tacit knowledge into AI and transform it into organizational assets. ■ Breaking the "Dual Walls" "Technology leakage" and "increased costs." We will present how local LLMs can solve the dual challenges of security and cost. ■ Practical Acceleration of DX The field will "fully utilize" AI. We will provide a concrete roadmap towards a "self-regulating factory" where skills are continuously inherited autonomously. *For more details, please download the PDF or feel free to contact us.*

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Applications/Examples of results

**Case 1: "High-Speed Navigator" for Trouble Recovery** Challenge: When a problem occurred, it was difficult to identify the cause without consulting a specific veteran employee, leading to longer recovery times (MTTR). Solution: An AI learned from a vast amount of past response records. Young employees can simply input error codes in a chat, and the AI provides suitable solutions instantly. ▼ Example Interaction Young Employee: "Error E-203 has occurred. What should I do?" AI: "In a similar case two years ago, the cause was 'sensor dirt.' Please try cleaning the area at location XX first." Results: Reduced recovery time (MTTR) by an average of 60%. **Case 2: Digitizing the "Tips" of Skilled Workers** Challenge: Sensory techniques such as "force adjustment" and "changes in sound" used by skilled workers could not be verbalized, making it difficult to pass on knowledge to younger employees. Solution: AI analyzed videos of veteran workers and automatically extracted and explained key points. - Knowledge of Movement: The AI identified scenes in the footage that highlight "the key points" and converted them into easily viewable videos with chapters. - On-Demand Instruction: Even in the absence of instructors, young employees can check "examples" and "professional explanations" anytime with just a tablet. Results: Reduced the time for young employees to become independent by 33%.