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Data Collection

Data-Collection

What is Data Collection?

Data collection encompasses the systematic gathering of information from production processes – such as through sensors, machines, or software. It captures process signals like temperature, pressure, or flow as well as production performance indicators like cycle times and scrap rates. This data is essential to maximize equipment productivity and implement standards such as IEC 61508 for functional safety.

Importance of Data Collection in Production

Data collection creates transparency about the manufacturing process and helps detect machine failures, process interruptions, or material shortages at an early stage. It is the basis for a preventive maintenance strategy and supports quality optimization by uncovering deviations before they lead to rework or scrap costs. Without precise data, production stability remains a product of chance rather than a controllable goal.

Practical Application of Data Collection

In manufacturing, data is collected in real-time through sensors and IoT technologies – for example, to monitor setup processes or material flows. Optimized production planning uses this information to avoid bottlenecks and increase equipment availability. Manufacturing Execution Systems (MES) process the data and provide insights that support decisions, while Predictive Maintenance predicts and prevents failures.

Benefits for Production

Data collection reduces manufacturing costs by increasing process efficiency and minimizing production downtime costs. It lowers inspection costs through targeted quality controls and supports disruption management by making problems visible early. Additionally, it enables data-based optimization that increases equipment productivity and ensures product quality – a clear competitive advantage.

Technological Support

Manufacturing Execution Systems (MES) are central platforms for data collection as they aggregate and analyze information. Process monitoring uses sensors to continuously supply data, while software solutions like ERP systems enable integration into production planning. Standards such as IEC 61508 ensure that safety-relevant data is correctly collected and used to minimize risks.

Conclusion: Data Collection as a Driver of Manufacturing

Data collection is the key to efficient, stable, and safe production.

Through the use of modern technologies and strategic analysis, companies can optimize their processes and remain competitive.

Start by implementing a data collection system and use the insights gained to strengthen your manufacturing.

Start working with SYMESTIC today to boost your productivity, efficiency, and quality!
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