Prevent sudden failures and reduce maintenance costs! AI scientifically evaluates 146 types of damage risks and guides optimal maintenance plans.
Are you struggling with aging equipment and a shortage of skilled technicians? "AI-RBM," provided by Best Materia Co., Ltd., is a next-generation maintenance solution that quantifies risk based on the "probability of failure (PoF)" and "consequence of failure (CoF)" of equipment, scientifically determining maintenance priorities. It moves away from traditional maintenance methods that relied on the "intuition and experience" of veterans. AI estimates the optimal solution from over 146 types of damage mechanisms, allowing limited maintenance budgets and personnel to focus on "truly high-risk areas," achieving both stable plant operation and significant reductions in maintenance costs. ■ Do you have any of these concerns? - Equipment is aging, and there is anxiety about the risk of line stoppage due to sudden failures. - Veteran maintenance technicians are nearing retirement, and the transfer of know-how is not keeping pace. - You continue to conduct uniform periodic inspections (TBM), but excessive maintenance costs are being incurred. - There are too many inspection points, and you want objective grounds for determining where to prioritize. - You want to promote smart safety and maintenance DX but don't know where to start. Equipment maintenance, risk-based maintenance, RBM, preventive maintenance.
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■ Features (clearly presented in bullet points) 1. Comprehensive screening using AI Combining expertise in materials engineering, AI instantly estimates the most suitable damage mechanisms from over 146 types of metal material damage mechanisms, such as corrosion, fatigue, and creep, for the target equipment, preventing oversight. 2. Elimination of subjectivity and high precision Transforming the tacit knowledge of skilled workers into AI. Providing high-precision risk assessments based on consistent scientific evidence, regardless of the experience level of the evaluator. 3. Optimization of maintenance costs (targeted maintenance) Evaluating risks based on global standards (such as API 581). By providing thorough attention to high-risk areas and extending inspection intervals for low-risk areas, we reduce unnecessary inspection costs through targeted maintenance. 4. Continuous improvement of accuracy through user data By training AI with your actual operational data and historical records, the system becomes more tailored to your equipment the more it is used, leading to continuous improvement in accuracy.
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Major automobile manufacturers Major chemical manufacturers Numerous facilities such as oil refining, power generation, and waste treatment plants *Selected project for the Tama Innovation Ecosystem Promotion Project
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We engage in the sales and implementation consulting of the material information management system GRANTA MI from Granta Design in the UK, as well as the development and operation of the optimal material selection site MatGuide for selecting materials such as steel. Additionally, we contribute to the creation of a safe and secure society by providing appropriate knowledge and technology related to material selection and Risk-Based Maintenance (RBM).
