Statistical process control

Statistical Process Control (SPC) is a method of monitoring and controlling a process by using statistical techniques to identify and address variations in process performance. It involves collecting data, analyzing it, and then making adjustments to the process to keep it within acceptable limits and minimize defects.
Here’s a more detailed explanation:
Key aspects of SPC:
Data Collection:
SPC relies on gathering data related to process performance, such as measurements, quality checks, or defect rates.
Analysis:
This data is then analyzed using statistical tools and methods, such as control charts, trend charts, and capability analysis, to identify patterns, trends, and potential problems.
Control:
Once issues are identified, corrective actions are taken to address them and ensure the process remains within acceptable limits, as shown by Turas | Learn.
Continuous Improvement:
SPC is an ongoing process that aims to continuously improve process performance and reduce variability.
Distinguishing Between Common and Special Causes:
A key concept in SPC is differentiating between common cause variation (inherent to the process) and special cause variation (indicative of a problem).
Benefits of SPC:
Improved quality:
By identifying and addressing variations, SPC helps reduce defects and improve product or service quality.
Reduced waste:
By controlling the process and minimizing variability, SPC helps reduce waste and improve efficiency.
Enhanced productivity:
By ensuring processes operate effectively and efficiently, SPC can help improve overall productivity.
Better decision-making:
SPC provides data-driven insights that support better decision-making about process improvement.
Examples of SPC in action:
Manufacturing:
Monitoring machine performance, checking product dimensions, and tracking defect rates.
Healthcare:
Tracking patient wait times, monitoring medication errors, and evaluating patient satisfaction.
Service industries:
Monitoring customer service call handling times, evaluating customer feedback, and tracking order fulfillment rates.