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DENSO discovers and understands relevant maintenance information, fast
Technology Category
- Analytics & Modeling - Data Mining
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Enterprise Asset Management Systems (EAM)
Applicable Industries
- Automotive
Applicable Functions
- Maintenance
- Quality Assurance
Use Cases
- Machine Condition Monitoring
- Predictive Maintenance
- Root Cause Analysis & Diagnosis
Services
- Software Design & Engineering Services
- System Integration
The Challenge
Japanese manufacturer DENSO is the world’s second-largest producer of automotive parts. With over 130 global sites, production line staff perform tens of thousands of maintenance checks and produce over 20,000 maintenance notes each year. DENSO sought to reduce equipment downtime and increase productivity by improving search around maintenance notes. Accessing past notes and relevant fixes enabled production line engineers to repair faster, but it was difficult and time-consuming to search this mass of information. Engineers would submit requests to management, who would manually review past notes to guide repairs. This created a bottleneck, impeding productivity, especially for engineers in overseas factories. DENSO needed an accurate, categorized search system for maintenance notes, a way for line engineers to directly access and search past records, and unification of the note search system across all global sites.
About The Customer
DENSO is a Japanese manufacturer and the world’s second-largest producer of automotive parts. The company operates over 130 global sites, where production line staff perform tens of thousands of maintenance checks and produce over 20,000 maintenance notes each year. DENSO's extensive operations span across various regions, necessitating efficient and effective maintenance processes to ensure minimal equipment downtime and high productivity. The company is committed to leveraging advanced technologies to streamline its operations and enhance the efficiency of its maintenance activities.
The Solution
DENSO used Luminoso to create a maintenance note search system that was fast and easy to use. The system enables line engineers to instantly view past notes and repair information most relevant to their current issue – across more than 1 million documents. Without any training data, DENSO created a conceptual understanding of its notes in minutes. With no manual tagging, the system understands not only distinctive words, such as automotive parts, but also DENSO-specific terms, such as equipment names, engineer shorthand – like “RB” for robot – and even misspellings. The company also plans to use Luminoso to identify root causes of maintenance issues unique to specific sites or equipment, analyzing decades of past knowledge to find optimal repair solutions.
Operational Impact
Quantitative Benefit
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