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Optimization of Maintenance Costs: Risk-Based Maintenance Utilizing AI

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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  • Risk-Based Maintenance

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Cost Efficiency in Maintenance: AI-Driven Risk-Based Maintenance

From veteran intuition to scientific evidence through AI. Reduce maintenance costs! AI scientifically assesses the risk of 146 types of damage and guides suitable maintenance plans.

【Adopted as a Leading Project of Tama Innovation】 Are you struggling with aging equipment and a shortage of skilled technicians? The "AI-RBM" provided by Best Materia Co., Ltd. quantifies risks based on the "Probability of Failure (PoF)" and "Consequences of Failure (CoF)" of equipment, scientifically determining maintenance priorities as a next-generation maintenance solution. We are moving away from traditional maintenance methods that relied on the "intuition and experience" of veterans. AI estimates the optimal damage mechanisms from 147 types, allowing us to concentrate limited maintenance budgets and personnel on "truly high-risk areas," achieving both stable plant operations and significant reductions in maintenance costs. ■ Do you have 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 knowledge transfer is not keeping up. - We continue to conduct uniform periodic inspections (TBM), but excessive maintenance costs are incurred. - There are too many inspection points, and we want objective grounds for prioritizing where to start. - We want to promote smart safety and maintenance DX, but we don't know where to begin.

  • Contract Analysis
  • Risk-Based Maintenance

Added to bookmarks

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Bookmark has been removed

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You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

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