IoT Enabled Digital Transformation in Automotive
The Customer
The Problem
- A brownfield solution that would integrate with a fully- functional line and existing IT systems
- Support heterogeneous machines with a variety of connectivity protocols
- Provide extreme accuracy and reliability as the system would be used as point of reference
- Support a set flexible, multivariate analysis techniques that suit a range of complex processes
The Solution
- Datonis Edge: It is a distributed computing platform that allows Industrial IoT data to be processed closer to the edge of the network.
- IoT: It makes for the repository for storing and processing all machine and manufacturing data, and is the data lake for the implementation.
- Datonis Digital Factory: This unified digital manufacturing platform is powered by IoT and comes with out-of-the box apps for monitoring, measuring, analyzing and predicting outcomes using AI.
Benefits
Productivity Improvement
Get an insight into parameters that impact line productivity, such as line rates, loss, and quality analysis at multiple levels.
Traceability
Trace a product through its manufacturing life cycle, and derive insights around critical quality, condition, and production data at every stage.
Quality
Perform root cause analysis of parameters that govern product quality using statistical techniques. Correlate this with machine condition.
Machine Condition Monitoring
Monitor and analyze parameters that are critical to machine health. Optimize machine downtime by predicting failure before it occurs.
Consumption
Analyze energy and other consumables that are part of the production process and discover ways to optimize their utilization.
Skill Matrix
Maintain a digital trace of operator performance. Enable the identification of a skill matrix and identify any exceptions that could impact product quality.
