Who Introduced The Concepts Underlying Statistical Process Control?

What is Statistical Process Command?

Quality Glossary Definition: Statistical process control

Statistical process control (SPC) is defined as the apply of statistical techniques to control a procedure or production method. SPC tools and procedures can help yous monitor procedure behavior, find issues in internal systems, and observe solutions for production issues. Statistical process control is oftentimes used interchangeably with statistical quality control (SQC).

SPC tools
SQC vs. SPC
The 7 quality control tools
The 7 supplemental tools
History of SPC
SPC resources

SPC Tools

A popular SPC tool is the control nautical chart, originally developed by Walter Shewhart in the early on 1920s. A control chart helps one record data and lets you encounter when an unusual consequence, such equally a very high or low observation compared with "typical" process performance, occurs.

Control charts attempt to distinguish between two types of process variation:

Common cause variation, which is intrinsic to the procedure and volition always exist present
Special crusade variation, which stems from external sources and indicates that the process is out of statistical control

Various tests can assistance determine when an out-of-control event has occurred. However, every bit more tests are employed, the probability of a false alarm also increases.

SQC Versus SPC

Statistical quality control (SQC) is divers equally the application of the 14 statistical and analytical tools (seven-QC and 7-SUPP) to monitor process outputs (dependent variables). Statistical procedure control (SPC) is the application of the same 14 tools to control procedure inputs (independent variables). Although both terms are ofttimes used interchangeably, SQC includes credence sampling where SPC does not.

The 7 Quality Control (7-QC) Tools

In 1974, Dr. Kaoru Ishikawa brought together a collection of procedure improvement tools in his text Guide to Quality Control. Known effectually the world as the seven quality control (seven-QC) tools, they are:

Crusade-and-effect diagram (also chosen Ishikawa diagram or fishbone diagram)
Cheque sail
Control nautical chart
Histogram
Pareto chart
Besprinkle diagram
Stratification

The 7 Supplemental (7-SUPP) Tools

In addition to the basic vii-QC tools, there are also some boosted statistical quality tools known as the 7 supplemental (vii-SUPP) tools:

Information stratification
Defect maps
Events logs
Procedure flowcharts
Progress centers
Randomization
Sample size determination

The Relationship Between Statistical Quality Control and Statistical Process Control

Design of experiments (DOE) and
analysis of variance (AOV or ANOVA)

SQC vs SPC

History of SPC

A marked increase in the utilise of control charts occurred during World War II in the United states of america to ensure the quality of munitions and other strategically important products. The utilize of SPC methods diminished somewhat afterwards the state of war, though was subsequently taken upwardly with swell effect in Japan and continues to the present day. (For more information, see the History of Quality.)

Many SPC techniques have been adopted by organizations throughout the globe in recent years, especially as a component of quality improvement initiatives like Half dozen Sigma. The widespread use of control charting procedures has been greatly assisted past statistical software packages and sophisticated data collection systems.

Additional process-monitoring tools include:

Cumulative Sum (CUSUM) charts: The ordinate of each plotted point represents the algebraic sum of the previous ordinate and the most recent deviations from the target.
Exponentially Weighted Moving Boilerplate (EWMA) charts: Each chart bespeak represents the weighted boilerplate of current and all previous subgroup values, giving more weight to recent procedure history and decreasing weights for older information.

SPC Resources

You can likewise search articles, case studies, and publications for SPC resources.

Books

Statistical Process Control for the FDA-Regulated Industry

Procedure Quality Control

Statistical Quality Control for the Six Sigma Light-green Belt

The Desk Reference Of Statistical Quality Methods

SPC For Right-Encephalon Thinkers

Articles

A LASSO-Based Diagnostic Framework For Multivariate Statistical Process Command (Technometrics) Several statistical process command examples are presented to demonstrate the effectiveness of the adaptive LASSO variable selection method.

Rethinking Statistics For Quality Control (Quality Engineering) As methods used for statistical process control go more sophisticated, information technology becomes apparent that the required tools have non been included in courses that teach statistics in quality control. A basic clarification of these tools and their applications is provided, based on the ideas of Box and Jenkins and referenced publications.

Clearing SPC Hurdles (Quality Progress) Statistical process control has provided significant cost savings for companies that are fortunate enough to implement it fully. Even so, these six obstacles tin waylay the best of intentions.

SPC: From Chaos to Wiping the Floor (Quality Progress) A history of statistical process control shows how information technology has gone from taming manufacturing processes to enabling all organizations to maintain their competitive border.

Case Studies

Statistical Process Control For Monitoring Nonlinear Profiles: A Half-dozen Sigma Project On Curing Process (Quality Engineering) This commodity describes a successful Six Sigma project in the context of statistical engineering for integrating SPC to the existing practice of technology process command (EPC) according to science.

Using Control Charts In A Healthcare Setting (PDF) This instruction example report features characters, hospitals, and healthcare information to assist readers create a control chart, interpret its results, and identify situations that would exist appropriate for control chart analysis.