discuss the seven tools for quality control
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1. Stratification (Divide and Conquer)
is a method of dividing data into sub–categories and classify data based on group, division, class or levels that helps in deriving meaningful information to understand an existing problem.
2. Histogram
Histogram introduced by Karl Pearson is a bar graph representing the frequency distribution on each bars.
3. Check sheet (Tally Sheet)
A check sheet can be metrics, structured table or form for collecting data and analysing them. When the information collected is quantitative in nature, the check sheet can also be called as tally sheet.
4. Cause-and-effect diagram. (“Fishbone” or Ishikawa diagram)
Cause–and–effect diagram introduced by Kaoru Ishikawahelps in identifying the various causes (or factors) leading to an effect (or problem) and also helps in deriving meaningful relationship between them.
5. Pareto chart (80 – 20 Rule)
Pareto chart is named afterVilfredo Pareto. Pareto chart revolves around the concept of 80-20 rule which underlines that in any process, 80% of problem or failure is just caused by 20% of few major factors which are often referred as Vital Few, whereas remaining 20% of problem or failure is caused by 80% of many minor factors which are also referred as Trivial Many.
6. Scatter diagram
Scatter diagram or scatter plot is basically a statistical tool that depicts dependent variables on Y – Axis and Independent Variable on X – axis plotted as dots on their common intersection points. Joining these dots can highlight any existing relationship among these variables or an equation in format Y = F(X) + C, where is C is an arbitrary constant.
7. Control Chart (Shewhart Chart)
Control chart is also called asShewhart Chart named afterWalter A. Shewhart is basically a statistical chart which helps in determining if an industrial process is within control and capable to meet the customer defined specification limits.
is a method of dividing data into sub–categories and classify data based on group, division, class or levels that helps in deriving meaningful information to understand an existing problem.
2. Histogram
Histogram introduced by Karl Pearson is a bar graph representing the frequency distribution on each bars.
3. Check sheet (Tally Sheet)
A check sheet can be metrics, structured table or form for collecting data and analysing them. When the information collected is quantitative in nature, the check sheet can also be called as tally sheet.
4. Cause-and-effect diagram. (“Fishbone” or Ishikawa diagram)
Cause–and–effect diagram introduced by Kaoru Ishikawahelps in identifying the various causes (or factors) leading to an effect (or problem) and also helps in deriving meaningful relationship between them.
5. Pareto chart (80 – 20 Rule)
Pareto chart is named afterVilfredo Pareto. Pareto chart revolves around the concept of 80-20 rule which underlines that in any process, 80% of problem or failure is just caused by 20% of few major factors which are often referred as Vital Few, whereas remaining 20% of problem or failure is caused by 80% of many minor factors which are also referred as Trivial Many.
6. Scatter diagram
Scatter diagram or scatter plot is basically a statistical tool that depicts dependent variables on Y – Axis and Independent Variable on X – axis plotted as dots on their common intersection points. Joining these dots can highlight any existing relationship among these variables or an equation in format Y = F(X) + C, where is C is an arbitrary constant.
7. Control Chart (Shewhart Chart)
Control chart is also called asShewhart Chart named afterWalter A. Shewhart is basically a statistical chart which helps in determining if an industrial process is within control and capable to meet the customer defined specification limits.
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