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Chapter 7 Quality Planning Tools

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Chapter 7

Tqm and
planning tools
• Identify quality tools for planning.

OBJECTIVES • Illustrate application of each quality planning tools.


• Apply planning tools in quality problems.
KAROU ISHIKAWA
 Professor of engineering at Tokyo University in
the 1960s and 1970s and the inventor of “quality
circles.”
 Suggested the 7 basic quality tools.
 Advocated teaching basic tools to every member
of a company as a means to making quality
endemic throughout the organization.
CAUSE AND EFFECT / FISHBONE DIAGRAM
First used by Ishikawa in the
1940’s, cause and effect
diagram, also known as a fish-
bone diagram.
Identifies the underlying
symptoms of a problem “effect”
as a means of finding the root
cause.
Its function is to identify the
factors that are causing an
undesired effect (defects) for
improvement action, or to
identify the factors needed to
Four m’s Four p’s Identification of
significant
• Method • Policies factors is often
• Manpower • Procedures an introduction
• Material • People to the statistical
• Machinery • Plant design of
experiments.

fishbone
Details 3. List the major
causes of the
1. Identify first the problem on the
problem spine of the fish.
2. Write it in the box 4. You can now
(head of the fish) resolve the
identified problem
Pareto chart
Alfredo Pareto, an economist who
noted that a few people controlled
most of the nation’s wealth.
Pareto’s Law has also been applied to
many other areas, including defects,
where a few causes are responsible for
most of the problems.
Pareto Principle, based upon the
principle which states that 80% of a
problem is attributable to 20% of its
causes, or inputs.
c h a r t
r e t o  A vertical chart with
Pa  Organizes and displays items organized in order
information in order to from the highest to the
demonstrate the relative lowest, relative to a
importance of various measurable effect such
problems or causes of as frequency, cost and
problems. time

 Pareto chart helps prioritize quality problems


and separate the ‘vital few’ problems from
the ‘trivial many’ by plotting the frequencies
and corresponding percentages of a
categorical variable, which shows how to
focus efforts and resources.
 Also known as data
collection sheets and tally
charts.
 Non-statistical and
comparatively easy.
 Captures data in manual,
reliable, formalized way so
that decisions can be made
based on facts.

Check sheets
Data is collected and
o An organized way ordered by adding tally Decisions can be based
of collecting and or check marks against on facts rather than
structuring data, its predetermined anecdotal evidence.
purpose is to categories of items.
collect the facts in
the most efficient
way.
o Ensures that the
information Check sheet items
collected is what should be mutually It simplifies the task of
was asked for and exclusive and to cover analysis.
that everyone is all reasonable
doing it the same categories.
way.
histogram It is a form of bar chart, used to measure
the frequency distribution of data that is
normally grouped together in ranges or
“bins”. Also, they are used to tell the
different regularity of occurrence in long
lists of data.
histogram
Evaluates the shape and central tendency of
data, and to assess whether or not the data
follow a specific distribution such as the
normal distribution.

Minimum of 50-75
Shows patterns that
data points should be
Provides an effective fall within typical
collected to guarantee
visual means of doing process conditions
sufficient number of
so
data points have been
gathered.
Control chart
Focuses on monitoring performance
over time by looking at the variation in
data points and distinguishes between
common cause and special cause
variations.
Plotting the data
Dating back to the
work of Shewart
and Deming, there
are several types
Con t r o l against pre-defined
upper and lower
control limits, it can be
determined whether
the process is steady

a r t
of control chart.

ch
and under control

It demonstrate
The Dow Jones when the data is
Industrial consistent or when
Average is a there are high or
good example of low outliers in the
a control chart occurrences of data

Practically
complex Monitors
statistical tools processes that
that measures are in control,
how a process using means and
changes over ranges
time
 Control charts are the most complicated
of the basic tools of TQM, but are based
on simple principles.
 Control limits are values that sample
measurements are not expected to
exceed unless some special cause
changes the process.
 A sample measurement outside the
control limits therefore indicates that the
process is no longer stable, and is
usually reason for corrective action.
Scatter diagram
 Used to identify whether there is
a relationship between two
variables.
 It does not prove that one
variable directly affects the
other, but is highly effective in
confirming that a relationship
exists between the two.
 Variables represent cause and
effect.
Scatter diagram

• A graphical representation of how one variable changes with respect to another.


• The variables are plotted on axes at right angles to each other and the scatter in
the points gives a measure of confidence in any correlation shown.
Flow  Visual representation of a process
 Used to piece together the actual

chart
process as it is carried out, which quite
often varies from how the process owner
imagines it is.
 Seeing it visually makes identifying
both inefficiencies and potential
improvements easier.
 Determine where the bottlenecks or
breakdowns are in work processes.
 Also, used to show changes in a process
when improvements are made or to
show a new work flow process.
Flow chart
Danger in flow charting Another step is that the
is the use of assumed or steps plotted may not be

01 desired steps rather than


actual process steps in
making the chart.
03 under the control of the
user.

Sometimes called a
The utility of the chart
02 04
process map, can be used
will correlate directly to to help the company
its accuracy. model its process.
e s t i ons?
Qu

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