Statistical Process Control (SPC) helps organizations monitor and control the production process by analyzing data in real time, detecting errors early on, and providing visual representations of process data.
FactoryEye’s powerful SPC solution relies on its advanced ability to integrate and process data from a wide range of data sources, including sensors, IoT devices, and other manufacturing systems. This ensures that you can connect to all your sites and machines – including existing systems that were not designed for SPC. It also ensures that inconsistent, inaccurate, or incomplete data, do not stand in your way of benefiting from top-class statistical process controls.
FactoryEye’s SPC Solution Gives You
- Decisions Based on Accurate and Consistent Data: Inaccurate or incomplete data can lead to incorrect conclusions. With FactoryEye’s SPC solution component, accurate and consistent data ensures you can rely on your data analysis.
- Contextualized Data Analysis: FactoryEye contextualizes your data, providing a deeper understanding of underlying causes and conditions that affect your processes. Gain insights into patterns and trends that may not be immediately apparent from raw data.
- Cross-Site Data Comparison: Overcome the challenges of comparing data across different systems or processes in multiple sites. FactoryEye enables you to analyze and compare data from various sources, identifying trends and making informed decisions.
FactoryEye’s SPC Solution Provides
- Graphical Display: FactoryEye provides a range of visualization tools such as control charts, histograms, Pareto charts, and more. Visual representations offer clear depictions of anomalies and problematic trends, enabling proactive process control.
- Real-time Monitoring: Monitor your production processes in real-time, detecting errors and deviations as they occur. Take immediate corrective actions to maintain optimal process control.
- Advanced Analytics: Leverage advanced analytics capabilities to analyze data, identify process variations, and make data-driven decisions. Gain valuable insights to improve process performance and quality.