1. 7 TOOLS OF
QUALITY
CONTROL
PRESENTED BY:
RASHMI VAISH
MBA- HAHC

2. DEFINITION
The Seven Basic Tools of Quality is a
designation given to a fixed set of
graphical techniques identified as
being most helpful in
troubleshooting issues related
to quality.

3. SEVEN TOOLS ARE:
• Cause and effect diagram.
• Flowchart
• Checklist
• Control chart
• Pareto chart
• Histogram
• Scatter diagram

4. CAUSE AND EFFECT
DIAGRAM
• Identifies potential causes for particular
quality problem.
• Also known as FISHBONE DIAGRAM.
• Head of fish is quality problem.
• Head is connect with spine which are
various aspects of production process.
• Commonly used by quality control team.

5. FLOW CHART
• Schematic diagram of sequence of
steps involved in a operation or
process.
• Provide visual tool that is easy to use
and understand.
• Give clear idea about how operation
works and where problem could rise.

6. CHECKLIST
• List of common defects and number
of observed occurrence of these
defect.
• Simple and effective fact finding tool.
• Used to focus on other dimensions
like location or time.

7. CONTROL CHART
• Used to evaluate whether a process
is operating within expectation
relative to measured value.
• Chart has two lines above and below
central line : upper control line and
lower control line.

8. PARETO CHART
• Used to identify quality problem
based on degree of importance.
• We grade on defect on their
occurrence time.

9. SCATTER DIAGRAM
• Show how two variables are related
to one another .
• Useful in detecting amount of
correlation and degree of linear
relationship between two variable.
• More scatter diagram less correlation
between variable and vice versa.

10. ADVANCE TOOLS OF
QUALITY
• SQC(Statistical Quality Control)
• Control chart for variables and
attributes

11. STATISTICAL QUALITY
CONTROL
• Used to describe the set of statistical
tools used by quality professtional.
• Broadly catagorised by:
 descriptive statistical:-used to
describe quality characterstic and
relationship.

12. CONTD….
 Statistical process control:-involves
inspecting a random sample of the
output from a process.
Acceptance sampling :- determines
whether a batch of goods should be
accepted or rejected.

13. TYPE OF CONTROL CHART
• Control charts are one of the most commonly
used tools in statistical process control.
• The different characteristics that can be
measured by control charts can be divided
into two groups:
 variables
 attributes

14. CONTROL CHART FOR
VARIABLES
• A control chart for variables is used
to monitor characteristics that can be
measured and have a continuum of
values, such as height, weight, or
volume.

15. CONTD….
• x-bar chart:-A control chart used to
monitor changes in the mean value
of a process.
• Range (R) chart:- A control chart that
monitors changes in the dispersion
or variability of process.

16. CONTROL CHART FOR
ATTRIBUTES
• Control charts for attributes are used
to measure quality characteristics
that are counted rather than
measured.
• Attributes are discrete in nature and
entail simple yes-or-no decisions.

17. CONTD….
• P-charts:- are used to measure the
proportion of items in a sample that
are defective.
• C-charts:- count the actual number
of defects.

18. THANK
YOU…..