Core Manufacturing (On-site Defect Analysis and Improvement Proposal Solution) DUNLOP

This solution targets all manufacturing companies and organizations (factories and shop floors) that manage large volumes of data.

Even if there are no major quality issues today, are you facing challenges like these?

◆ Productivity & Efficiency
・Further improve productivity (output, workforce optimization, line efficiency)
・Reduce time spent on reporting and analysis tasks
・Overcome manual processes and reliance on individual expertise

◆ Data Integration & Utilization
・Fragmented data across departments limits effective use
・Time-consuming data search and visualization delays decisions
・Growing data volumes exceed current system capabilities

◆ Data Quality & Standardization
・Inconsistent data (missing values, formats, granularity)
・Lack of standardized tools and formats across teams
Note: This solution enables effective use of diverse and inconsistent data without requiring standardization.

◆ Knowledge Dependency & Adoption
・Reliance on individuals makes standardization difficult
・Challenges in passing on skills and expertise
・Low adoption of AI/tools at the operational level

etc...

This is an integrated analytics platform centered on a data foundation that consolidates operational data across departments and systems.

Data stored in the platform can be searched and analyzed across domains without being constrained by its original source, department, or format, enabling advanced analysis by combining data from quality, production, and equipment.

In addition, generative AI analyzes actual data on the platform, improving the efficiency of analytical tasks such as root cause analysis and report generation.

The platform also offers flexible data integration capabilities, allowing data to be aggregated without changing existing formats or structures, thereby expanding data utilization without disrupting on-site operations.