Calista’s Digital Transformation empowers manufacturers with IoT-driven machine monitoring and OEE insights, enabling data-backed decisions that optimize efficiency, quality, and productivity for next-generation manufacturing excellence.
In today’s digital fast-paced world, enhancing machine operational efficiency and productivity is what all the manufacturers strive for. IoT, when implemented for manufacturing processes, provides executives with a way to track metrics and KPIs, allowing them to derive useful insights on the processes and make decisions to improve consistency, quality, and productivity. The production Line Solution includes machine monitoring and OEE data collection to increase machine efficiency and productivity leveraging innovation. Overall Equipment Effectiveness (OEE) is considered a benchmark for identifying losses, measuring equipment efficiency, and highlighting manufacturing productivity.
This solution designed by Calista measures the OEE, helping management gain important insights on how to systematically improve the manufacturing process. It monitors the Key Performance Indicators (KPI) percentage calculation, which uses equipment availability, productivity, and quality metrics to calculate a value that summarizes how well the production line is operating.
Availability: Time for which the equipment should ideally be available for production excluding any downtime.- Performance: Measure of the net process or production cycle run time against its full capability.
- Quality: Count of manufactured parts meeting quality standards, excluding those that don't meet the quality specifications.
- Overall Equipment Effectiveness (OEE): Measure of how well a manufacturing operation is utilized compared to its full potential.
- Production Rate
- Actual units produced
- Expected units for production
- Target units for production
- Widgets to view data
- Periodic reports
- Email and SMS notifications
- Advanced data analysis and data export