The document discusses the 7 main quality control tools: check sheet, cause-and-effect diagram, flow chart, Pareto chart, control chart, scatter diagram, and histogram. It provides details on the purpose and use of each tool, such as using check sheets to collect real-time data, cause-and-effect diagrams to identify causes of problems, and control charts to monitor process variation over time. Overall, the 7 tools help analyze data, identify root causes of issues, measure results, and solve 95% of quality problems through techniques like data collection, visualization of processes and variables, and prioritization of key issues.

1. ARE THE BEST QUALITY CONTROL TOOLS WHICH HELPS IN SOLVING QUALITY
ISSUES THROUGH
 DATA COLLECTION
 ANALYSING DATA
 IDENTIFICATION OF ROOT CAUSE
 MEASURING RESULTS

3. “95% quality related problems
at workplace can be solved
with the help of 7 QC Tools”
…Prof. Kaoru
Ishikawa

4. 7 QC TOOLS
ARE
 Check sheet
 Cause-and-effect diagram ( fishbone or Ishikawa
diagram )
 Flow chart ( Stratification )
 Pareto chart/analysis
 Control chart
 Scatter diagram
 Histogram

5. 1.Check Sheet
A Check Sheet is a simple document that is used for collecting
data in real time and at the location where data is generated.

6. Purpose
• How often are certain events happening
• Making information collection easy from data (Format).

7. 2. Cause and Effect Diagram (Ishikawa)
• Barnstorming and root cause finding technique
• It shows the relationship of all factors (cause) that lead to the given
situation (effect).
• It identifies major causes and breaks them down into sub-causes
and further sub divisions

8. Purpose
• Identifies various cause affecting a process
• Help group in reaching a common understanding of
problem

9. 3. Process Flow Chart (Stratification)
• Bird’s eye view of the actual process
• A Flow Chart is a type of diagram that
represents a process step by step with the
help of various kind of box shapes and
connecting these with arrows.
• Gives an idea, about conversion of input
into output
• Identify the value added and non – value
added activities

10. Purpose
• It gives a visual representation of process
• Identify the Steps and Material needed
for the process.
• Help in quickly analysing the process

11. 4. Pareto Analysis
• Combination of bar chart and line graph
• A bar chart that helps to prioritize action by arranging elements in
descending order of occurrence.
• Bar chart presents the actual data in descending order
• Line graph presents cumulative data in ascending order
• Based on 80-20 rule

12. Purpose
• Sort out the “vital few”
from the “trivial many”
• Separates important
from non-important
causes contributing to
a problem

13. 5. Control Chart
• A control chart is a line graph used to display variation on time
ordered interval in process.
• A centreline and control limits are placed on the graphs to help
analyse the pattern of data
• Maintain the process variation within control limits

14. Purpose
• Control chart indicates whether a process is in control or
not
• It ensures product quality level
• To identify the dynamic or special causes of variation in a
repeating process

15. 6. Scatter Diagram
 Scatter diagram is a tool used to study the possible relationship
between two variables.
• One is independent on X axis
• Other is dependent onY-axis
 Forecast the future trend on the
basis of current relationship b/w two
variables

16. Purpose
• Diagram makes it clear whether a relationship exists and
shows the strength of that relationship.
• If data are scattered very close to trend, it show strong
relationship otherwise it is weak relationship.

17. 7. Histogram
• A Histogram displays the
variation with the process, also
called a frequency distribution
• Vertical rectangular bars
showcase the frequency of data
• Present the large amount of data

18. Purpose
• To show the Frequency distribution of set of
measurements.
• Allows one to quickly visualize what is going on within a
large amount of data.

19. In conclusion
 PFC gives the bird eye view of the actual process and helps in
finding the troubles spots in the process
 CS confirms the physical presence of the defects and defectives
 H showcase the large amount of the data in graphical format
 PC prioritizes the vital few instead of trivial many issues
 C and E diagram helps in finding the possible causes for a problem
 SC confirms the relationships b/w two variables
 CC signifies the process variation and give warning when data go
beyond control limits