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Advantages Of Statistical Process Control (SPC)

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3.1 Statistical Process Control (SPC)
Statistical Process Control is an analytical decision making tools which allow us to see when a process is working correctly and when it is not. Variation is present in any process, deciding when the variation is natural and when it needs correction is the key to quality control.
The foundation for Statistical Process Control was laid by Dr. Walter Shewart working in the Bell Telephone Laboratories in the 1920s conducting research on methods to improve quality and lower costs. He developed the concept of control with regard to variation, and came up with Statistical Process Control Charts which provide a simple way to determine if the process is in control or not.
Dr. W. Edwards Deming built upon Shewart’s work and took the concepts to Japan following WWII. There, Japanese industry adopted the concepts whole-heartedly. The resulting high quality of Japanese products is world-renowned. Dr. Deming is famous throughout Japan as a "God of quality". Today, SPC is used in manufacturing facilities around the world.
3.2 Advantage of SPC Implementation
• It provides a means of detecting error at inspection.
• It leads to more uniform …show more content…

• Supervise the process so that the operators quickly notice if a new assignable cause is introduced in the process, in such case eliminate it.
When the SPC program is performed the process variation will be reduced, the cost of poor quality will decrease and the product quality will improve. To achieve the objectives above, a set of useful tools called the Magnificent Seven can be used. The Magnificent Seven or the Seven Quality Control (7QC) tools are graphical statistical tools and methods for continuous improvement. A list of the tools is presented here:
• Pareto Charts
• Cause and Effect diagram
• Flow

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