SPC is method of measuring and controlling quality by monitoring the manufacturing process where quality data is collected in the form of product or process measurements or readings from various machines or instrumentation.

SPC (Statistical Process Control) primarily deals with studying variation to improve process performance in any area or process and that SPC focuses on “prevention”, not “detection”, where detection tolerates waste while prevention avoids waste. PMC offers SPC Training that covers Variable and Attribute Control Charts, and Capability Studies along with its applications to manufacturing.

While there are many ways to improve quality and productivity, most of them are variance-reducing procedures of one sort or another. It is the case, however, that strategies for eliminating special-cause variation are almost always completely different from procedures for reducing common-cause variation.

Special-cause variation is the result of some deviation or abnormality in the process. Therefore, when such a cause has been identified, it is almost always possible to remove it. In fact, the responsibility for identifying and removing special causes of variation usually lies with the operator or supervisor-and it is usually carried out at the point of production. Common-cause variation is not a short-term problem. It is almost always the result of very basic, structural “deficiencies” in the process design.

Three Stages of Continual Process Improvement Cycle with SPC are:

1. ANALYZE THE PROCESS

• What should the process be doing?
• What can go wrong?
• What is the process doing?
• Achieve a state of statistical control
• Determine Capability

2. MAINTAIN THE PROCESS

• Monitor process performance
• Detect special cause variation and act upon it

3. IMPROVE THE PROCESS

• Change the process to better understand common cause variation
• Reduce common cause variation

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