Statistical Process Control (SPC)

Statistical Process Control

 

  • Statistical Process Control (SPC)

Statistical Process Control - Techniques provide a data-based, objective way to determine whether your project is producing products within acceptable levels of quality.

These techniques rely on testing or performing quality inspections on many products beinproduced by the project team.

If your project is creating a small number of highly customized deliverables, SPC techniques may not work for you. However, if your project will result in the creation of many similar products, SPC may be a good way for you to determine if your processes are sufficient to produce high-quality products.

SPC also helps you determine if your processes are "in control". That is, you can determine if you processes are adequate to produce products with an acceptable level of quality on an ongoing basis.

When The process starts to falter an produce products that do not conform to quality standards, the processes are designated as "out of control". SPC techniques will tell you as soon as possible when your processes are "out of control"

The philosophy behind SPC is that process output can be statistically controlleprocess engineering and management actions. This approach helps project teams and companies to:

  • Identify critical problem areas in a process early

  • Reduce product variability

  • Optimize a process

  • Determine the reliability of the product

Although SPC appears to be an easy and straightforward technique, its implementation can be complicated. It requires a common and consistent way to test products begin produced, a way to measure the results of the tests and a way to interpret the results to understand what is happening.

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