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Statistical Process Control Concepts
SPC is the
primary analysis tool of quality improvement. It is the applied science
that helps you collect, organize and interpret the wide variety of information
available to your business. Whether you track revenues, billing errors, or the
dimensions of manufactured components, SPC can help you measure, understand
and control the variables that affect your business processes.
SPC analyzes
the variation in whatever process you are measuring:
- First, control charts demonstrate how consistently
your process is performing, and whether you should, or should not, attempt
to adjust it.
- Next, the statistical process control chart compares the
process performance
to your customers' requirements, providing a process capability index as an ongoing, accurate direction
for quality improvement.
- Finally, control charts and its resulting process capability index
quickly evaluate the results of quality initiatives designed to improve process consistency.
As part of an ongoing cycle of continuous
process improvement, SPC can help you fine-tune your processes
to the virtually error free Six Sigma level.
Statistical Process Control is easy
to do. Although it involves complex mathematics, computers are ideally
suited to the task. They easily collect, organize and store information, calculate
answers, and present results in easy to understand graphs, called control charts. Computers accept
information typed in manually, read from scanners or manufacturing machines,
or imported from other computer databases. The resulting control charts can be examined
in greater detail, incorporated into reports, or sent across the Internet. A
computer collecting information in real time can even detect very subtle changes
in a process, and even warn you in time to prevent process errors before they occur.
SPC can
help you understand and reduce the variation in any business process.
Greater consistency in fulfilling your customer's requirements leads to greater
customer satisfaction. Reduced variation in your internal processes leads to
less time and money spent on rework and waste. Both directly yield greater profitability
and security for your business. SPC is one of the essential tools necessary
to maintain an advantage in today's competitive marketplace.
Understanding the following
concepts is essential to interpretation of Statistical Process Control Charts:
(SPC) Statistical Process Control chart properties
Rational Subgroups
Defining Control Limits
See also:
A comparison of our SPC Software for Six Sigma Quality Improvement
SPC Training Materials for self-study or instructors
For information on When
To Use, How To Interpret, or Calculations for each chart:
Attributes
Charts: P charts, U charts, Np charts, C charts
Pareto
Charts
X-Bar
/ Range Charts
X-Bar
/ Sigma Charts
Individual-X
Charts (X-Charts)
Histograms
/ Process Capability Analysis
Scatter
Diagrams
Autocorrelation
Chart
EWMA
Chart
CuSum
Chart
Moving
Average / Range Chart
Moving
Average / Sigma Chart
Multivariate
Chart
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