Statistical Process Control (Spc) Definition
Statistical process control (SPC) is a statistical quality control technique that uses process data to monitor andcontrol a process. SPC can be used to monitor any process where data can be collected, such as manufacturing,transportation, service, and transactional processes.
The purpose of SPC is to identify and correct process problems before they result in defective products or services. By monitoring and controlling the process, SPC can help ensure that the process is operating within its acceptable limits and producing conforming products or services.
SPC involves four main steps:
1. Collecting data on the process variable of interest
2. Analyzing the data to look for patterns
3. Identifying special causes of variation
4. Taking action to correct special causes of variation
Data collection is typically done using sampling, which involves taking periodic measurements of theprocess variable of interest. Sampling can be done continuously (e.g., every 10 seconds) or at discrete intervals (e.g., every hour). The data are then analyzed using statistical techniques such as control charts to look for patterns that indicate the presence of special causes of variation.
If special causes are identified, corrective action is taken to eliminate the special causes from theprocess. Once the special causes have been eliminated, the process is monitored using control charts to ensurethat it remains in a state of statistical control.
