Managing, Controlling, and Improving Quality by Douglas C. MontgomeryTaking the guesswork out of quality control, Statistical Process Control SPC is a scientific, data-driven methodology for quality analysis and improvement. Quality data in the form of Product or Process measurements are obtained in real-time during manufacturing. This data is then plotted on a graph with pre-determined control limits. Control Limits on an XBar Range Chart Data that falls within the control limits indicates that everything is operating as expected. Any variation within the control limits is likely due to a common cause—the natural variation that is expected as part of the process. If data falls outside of the control limits, this indicates that an assignable cause is likely the source of the product variation, and something within the process should be changed to fix the issue before defects occur.
Managing, Controlling, and Improving Quality
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Statistical process control SPC is a method of quality control which employs statistical methods to monitor and control a process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste rework or scrap. SPC can be applied to any process where the "conforming product" product meeting specifications output can be measured. Key tools used in SPC include run charts , control charts , a focus on continuous improvement , and the design of experiments. An example of a process where SPC is applied is manufacturing lines.
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