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Statistical Process Control
 is a method of quality control which employs statistical methods to monitor and
control a process. This helps to ensure that the process operates efficiently,
producing more specification-conforming products with less waste (rework
or scrap).
SPC can be applied to any process where the "conforming product" (product meeting
specifications) output can be measured.
An example of a process where SPC is applied is manufacturing lines.
An advantage of SPC over other methods of quality control, such as "inspection", is that it
emphasizes early detection and prevention of problems, rather than the correction of problems after
they have occurred.
Key tools used in SPC include run charts, control charts, a
focus on continuous improvement, and the design of
experiments.
 A collection o statistical tools (control charts) that allow you to ensure that your
process is in control (stable)
basics of control charts. It is a very important
concept/tool and is used everywhere in any kind
of process to study how a process changes over
time.
 History of Control chart ✅ What is a Control chart and its elements ✅ Variation
and its types ✅ What actions we should take in case of COMMON and SPECIAL
Cause variations ✅ NELSON RULES to identify the presence of Special causes and
✅ Which test you should select to identify the presence of a Special cause and ✅
Some other things in the 1st part of the video on CONTROL CHART.
Control Chart
 Pioneered by Walter Shewhart who worked at Bell Labs in the 1920’s
 Helped to improve the reliability of the telephone transmission system at Bell.
SPC must be practiced in two phases:
The first phase is the initial establishment of the process,
and the second phase is the regular production use of the
process.
In the second phase, a decision of the period to be
examined must be made, depending upon the change in
5M&E conditions (Man, Machine, Material, Method,
Movement, Environment) and wear rate of parts used in
the manufacturing process (machine parts, jigs, and
fixtures).
STATISTICAL PROCESS CONTROL CHART
A CHART WITH TIME ON THE HORIZONTAL AXIS TO PLOT VALUES OF A STATISTIC.
What is SPC
 Stable
 Capable
 is an industry-standard methodology for measuring and controlling quality during
the manufacturing process. Quality data in the form of Product or Process
measurements are obtained in real-time during manufacturing. This data is then
plotted on a graph with pre-determined control limits. Control limits are
determined by the capability of the process, whereas specification limits are
determined by the client's needs.
The application of SPC involves three main
phases of activity:
 Understanding the process and the specification limits.
 Eliminating assignable (special) sources of variation, so that the process is stable.
 Monitoring the ongoing production process, assisted by the use of control charts,
to detect significant changes of mean or variation.
Statistical Process Control.pptx

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Statistical Process Control.pptx

  • 2.  is a method of quality control which employs statistical methods to monitor and control a process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste (rework or scrap). SPC can be applied to any process where the "conforming product" (product meeting specifications) output can be measured. An example of a process where SPC is applied is manufacturing lines. An advantage of SPC over other methods of quality control, such as "inspection", is that it emphasizes early detection and prevention of problems, rather than the correction of problems after they have occurred. Key tools used in SPC include run charts, control charts, a focus on continuous improvement, and the design of experiments.  A collection o statistical tools (control charts) that allow you to ensure that your process is in control (stable)
  • 3. basics of control charts. It is a very important concept/tool and is used everywhere in any kind of process to study how a process changes over time.  History of Control chart ✅ What is a Control chart and its elements ✅ Variation and its types ✅ What actions we should take in case of COMMON and SPECIAL Cause variations ✅ NELSON RULES to identify the presence of Special causes and ✅ Which test you should select to identify the presence of a Special cause and ✅ Some other things in the 1st part of the video on CONTROL CHART.
  • 4. Control Chart  Pioneered by Walter Shewhart who worked at Bell Labs in the 1920’s  Helped to improve the reliability of the telephone transmission system at Bell.
  • 5. SPC must be practiced in two phases: The first phase is the initial establishment of the process, and the second phase is the regular production use of the process. In the second phase, a decision of the period to be examined must be made, depending upon the change in 5M&E conditions (Man, Machine, Material, Method, Movement, Environment) and wear rate of parts used in the manufacturing process (machine parts, jigs, and fixtures).
  • 6. STATISTICAL PROCESS CONTROL CHART A CHART WITH TIME ON THE HORIZONTAL AXIS TO PLOT VALUES OF A STATISTIC.
  • 7. What is SPC  Stable  Capable  is an industry-standard methodology for measuring and controlling quality during the manufacturing process. Quality data in the form of Product or Process measurements are obtained in real-time during manufacturing. This data is then plotted on a graph with pre-determined control limits. Control limits are determined by the capability of the process, whereas specification limits are determined by the client's needs.
  • 8. The application of SPC involves three main phases of activity:  Understanding the process and the specification limits.  Eliminating assignable (special) sources of variation, so that the process is stable.  Monitoring the ongoing production process, assisted by the use of control charts, to detect significant changes of mean or variation.