Data management provides reliable operational data as a foundation for analysis and process improvement. MES and SCADA systems collect real-time data from production processes, which can be used with predictive analytics to forecast future events. Machine vision applies AI for automated quality inspections and anomaly detection. Symbol supports organisations as a project manager in the setup and deployment of data.
Process variation leads to errors, complaints, and inefficiency. Statistical analysis and targeted improvement actions reduce variation. This increases quality, reliability, and customer satisfaction.
Result: fewer disruptions and stable quality
Predictive analytics uses historical data and machine learning to forecast future events. This can be applied to maintenance, quality prediction, or demand planning, for example. This enables organisations to act proactively rather than reactively. Predictive analytics is a modern variant of (logistic) regression and Design of Experiments.
Result: insight into the main effects and interactions in complex datasets.
Machine vision uses modern cameras with integrated AI models to perform visual inspections automatically and in real-time within the process. This includes detecting defects, recognising faulty products, missing parts, counting specific features, and identifying contamination. This increases the quality, speed, and consistency of inspections. Machine vision makes it possible to inspect 100% of products in real-time. Result: detection of anomalies and errors, leading to higher quality
Reliable data is essential for effective steering. We identify what data is already available and what is still needed. Additionally, we guide the selection of partners for data collection, unlocking, and the setup of MES and SCADA systems. Symbol acts as an independent advisor and project manager and does not supply systems itself.
Why is a good data infrastructure important?
Reliable and structured data is necessary to analyse processes and utilise digital applications such as AI. Without a robust data infrastructure, data-driven steering is challenging.
What is a data infrastructure with MES and SCADA?
MES and SCADA systems collect and manage real-time data from machines and production processes. This data forms the basis for monitoring, analysis, and process control.
What is the advantage of Predictive Analytics in operations?
Organisations can identify problems earlier and take preventive measures. This shifts operations from reactive to proactive steering.
What does Machine Vision deliver in production processes?
Inspections are performed faster, more consistently, and more reliably. This often allows 100% of products to be checked in real-time.
How do these three technologies work together?
MES/SCADA collects process data, Predictive Analytics analyses and forecasts developments, and Machine Vision automatically inspects products. Together, they ensure data-driven and better manageable operations.