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PRESENTATION
ON
QUALITY GURU - WALTER A. SHEWART
Presented by
Anas Abrar
BACKGROUND:
Walter Andrew Shewhart was an American physicist, Engineer and
Statistician.
Also known as grandfather of TQM.
He devised the statistical control chart and laid the early foundations
of statistical process control and modern quality improvement
practice.
He developed a continuous learning and improvement cycle knowns
as Shewart’s PDSA cycle.
STATISTICAL PROCESS CONTROL (SPC)
 It is the application of Statistical Methods to monitor and control a
process to ensure that it operates at its full potential to produce
conforming product.
OR
Is an analytical decision making tool which allows you 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.
TYPES OF VARIATION:
1. Natural or Common Cause Variation.
 consists of the variation inherent in the process as it is
designed.
 variations in temperature, properties of raw materials,
strength of an electrical current etc.
2. Special Cause Variation.
 With sufficient investigation, a specific cause, such as
abnormal raw material or incorrect set-up parameters
SPC -Broadly Broken Down Into 3 Sets Of
Activities-
1. Understanding the process.
2. Understanding the causes of variation.
3. Elimination of the sources of special cause variation.
 Understanding the process.
-Process is typically mapped out and the process is
monitored using control charts.
 Understanding the causes of variation.
-Control charts are used to identify variation that may be due
to special causes.
-When excessive variation is identified by the control
chart ,additional effort is exerted to determine causes of that
variance.
 Elimination of the sources of special cause variation
-Once the causes of variation have been quantified, effort is
spent in eliminating those causes that are both
statistically and practically significant.
-includes development of standard work, error-proofing and
training.
-Additional process changes may be required to reduce
variation.
ADVANTAGES OF SPC:
 Reduces waste.
 Reduces time of production.
 Early detection and prevention of problems.
 Cost reduction.
 Customer satisfaction.
THANK YOU.

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WALTER A. SHEWART

  • 1. PRESENTATION ON QUALITY GURU - WALTER A. SHEWART Presented by Anas Abrar
  • 2. BACKGROUND: Walter Andrew Shewhart was an American physicist, Engineer and Statistician. Also known as grandfather of TQM. He devised the statistical control chart and laid the early foundations of statistical process control and modern quality improvement practice. He developed a continuous learning and improvement cycle knowns as Shewart’s PDSA cycle.
  • 3. STATISTICAL PROCESS CONTROL (SPC)  It is the application of Statistical Methods to monitor and control a process to ensure that it operates at its full potential to produce conforming product. OR Is an analytical decision making tool which allows you 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.
  • 4. TYPES OF VARIATION: 1. Natural or Common Cause Variation.  consists of the variation inherent in the process as it is designed.  variations in temperature, properties of raw materials, strength of an electrical current etc. 2. Special Cause Variation.  With sufficient investigation, a specific cause, such as abnormal raw material or incorrect set-up parameters
  • 5. SPC -Broadly Broken Down Into 3 Sets Of Activities- 1. Understanding the process. 2. Understanding the causes of variation. 3. Elimination of the sources of special cause variation.
  • 6.  Understanding the process. -Process is typically mapped out and the process is monitored using control charts.  Understanding the causes of variation. -Control charts are used to identify variation that may be due to special causes. -When excessive variation is identified by the control chart ,additional effort is exerted to determine causes of that variance.
  • 7.  Elimination of the sources of special cause variation -Once the causes of variation have been quantified, effort is spent in eliminating those causes that are both statistically and practically significant. -includes development of standard work, error-proofing and training. -Additional process changes may be required to reduce variation.
  • 8.
  • 9. ADVANTAGES OF SPC:  Reduces waste.  Reduces time of production.  Early detection and prevention of problems.  Cost reduction.  Customer satisfaction.