Quality Control

1. Seven Quality
Control Tools
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2. Introduction
QC tools are the means for Colleting data ,analyzing data ,
identifying root causes and measuring the results. These tools are
related to numerical data processing. User has to develop the
solution & implement 7 QC tools
7 QC tools are means for:
• Collecting data
• Analyzing data
• Identifying root cause
• Measure the results
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3. 7 QC Tools
• Cause and effect diagram
• Pareto Analysis
• Flow chart
• Scatter diagram
• Check sheet
• Histogram
• Control chart
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4. Cause and effect diagram
• It is also known as ishikawa and fish bone diagram.
Purpose: Graphical representation of potential causes of a
problem
Brainstorming fishbone diagram
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5. Benefits
•Breaks problems down into bite size
pieces to find out cause
•Foster team work
•Common understanding of factors
causing problem
•Follows brainstorming relationship
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6. Example
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7. Flow chart
Purpose: visual illustration of the sequence of operation
required to complete a task
• schematic drawing of the process to measure or improve
• Potential weakness in the process are made visual
• Picture of process as it should be
Benefits:
Identify process improvements
Understand the process
Shows duplicated effort and other non-valued added steps
Clarify working relationships between people and
organization
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9. Example
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10. Check sheet
Purpose: tool for collecting and organizing
measured or counted data
• Data collected can be used as input data for
other tools
Benefits: collect data in a systematic and
organized manner
• To determine source of problem
• To facilitate classification of data (stratification)
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11. Cont.
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12. Histogram
• Plotting the shapes of a distribution and comparing it with
specification
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13. Cont.
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14. ParetoAnalysis
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Pareto analysis is a ranked comparison of factor related to a
quality problem. It helps a quality improvement project
teams to identify and focus on the VITAL few factors.
Benefits
• Prioritizing problems
• Analyzing symptoms
• Proving effectiveness of remedy

15. Cont.
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16. Control chart
Purpose: The primary purpose of a control chart
is to predict expected product outcome.
Benefits:
• Predict process out of control and out of
specification limits
• Distinguish between specific, identifiable causes
of variation
• Can be used for Statistical Process Control
(SPC)
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18. What does it look like
• Adding the element of the will help clarify your
understanding of the causes of variation in the processes
• A run chart is a line graph of data points organized in
time sequence and centered on the median data value.
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19. Scatter diagram
• Purpose: To identify the correlation between two variables
• Benefits: helps identify and test probable causes
• By knowing which elements of your process are related and how they
are related
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