Using Digitalisation (Industry 4.0 Practices) for Improving OEE in an Automotive Company
Challenges Without Real-Time Monitoring
Our client an automotive company based at Manesar, Gurugram, was facing several challenges due to the lack of real-time data monitoring, which negatively impacts OEE:
How Digitalization Improved OEE
IoT-enabled devices provide real-time insights into machine uptime, performance, and quality. This helps factory managers assess operational bottlenecks and take proactive measures to enhance efficiency.
Smart analytics detect deviations in production and trigger automated alerts to prevent unexpected downtime. Predictive maintenance powered by machine learning reduces breakdowns and enhances equipment reliability. Delayed production start time and early shift closure were detected and highlight to management.
Cloud-based dashboards consolidate real-time manufacturing data, allowing stakeholders to make informed decisions. Smart analytics help optimize production scheduling, resource allocation, and workflow efficiency.
DigitalFactory empowered the workforce to get immediate support in case of any issue at the production shopfloor. 2-click management Hotline improved the communication between workforce and management.
Smart sensors track energy consumption across different production units. By identifying energy-intensive processes, manufacturers can implement strategies to reduce operational costs and improve sustainability.
Result
Real-time data monitoring through digitalization is a game changer for improving OEE in the automotive industry. By leveraging IoT and cloud computing, our client enhanced equipment reliability, reduce downtime, and drive operational excellence. DigitalFactory helped the customer to increase the OEE from 74% to 86% in within 90 days of deployment.
It was all become possible by the synergy of technology and management will. This is a first but important step taken into the future tech.