- Numerical prediction
Maintenance parts inventory prediction technology
Predicts appropriate procurement volumes based on failure history, and optimizes parts inventory.
- Provides an SaaS-based model that predicts failure time and frequency based on past failure history for each maintenance part.
- Toshiba Digital Solutions Corporation uses the system in maintenance part management on a PC server, and confirmed a 30% reduction in excess inventory.
Applications
- Manufacturers handling products with long maintenance periods (e.g., machinery and automobiles)
- Repair companies with inventory of maintenance parts for manufacturers’ products
Benchmarks, strengths, and track record
Inquiries
Toshiba Digital Solutions Corporation
Toshiba analytics AI service “SATLYS” (in Japanese)
References:
- “Inventory Optimization of Maintenance Parts” (Toshiba Digital Solutions Corporation) (in Japanese)
- “AI-based part failure frequency prediction system on a PC server” (Toshiba Digital Solutions Corporation)
