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Transcribed Image Text: TOTAL QUALITY TOOLS
DEFINED
and that 80% of the money supporting churches in the
United States comes from 20% of the church membership.
All of us have limited resources. That point applies to
useful tool wherever one needs to separate the important you and to me, and to all enterprises-even to giant corpora-
from the trivial. The chart, first promoted by Dr. Joseph tions and to the government. This means that our resources
cal tools. Total quality tools also enable today's employees, Juran, is named after Italian economist and sociologist (time, energy, and money) need to be applied where they
Vilfredo Pareto (1848-1923). He had the insight to recog- will do the most good. The purpose of the Pareto chart is to
nize that in the real world a minority of causes lead to the show you where to apply your resources by distinguishing
majority of problems. This is known as the Pareto Principle. the significant few from the trivial many. It helps us establish
PARETO CHARTS
Carpenters use a kit of tools designed for very specific func-
tions. Their hammers, for example, are used for the driving
of nails and their saws for the cutting of wood. These and
others enable a carpenter to build houses. They are physi-
The Pareto (pah-ray-toe) chart (see Figure 15.1) is a very
whether engineers, technologists, production workers,
managers, or office staff, to do their jobs. Virtually no one
can function in an organization that has embraced total
Pick a category, and the Pareto Principle will usually hold. priorities.
For example, in a factory you will find that of all the kinds
quality without some or all of these tools. Unlike those in
the carpenter's kit, these are intellectual tools. They are not
wood and steel to be used with muscle; they are tools for
collecting and displaying information in ways to help the
human brain grasp thoughts and ideas. When thoughts
and ideas are applied to physical processes, the processes
yield better results. When they are applied to problem solv-
ing or decision making, better solutions and decisions are
developed.
The seven tools discussed in the following seven sec-
tions of this chapter represent those generally accepted as
The Pareto chart in Figure 15.1 labels a company's cus-
of problems you can name, only about 20% of them will tomers A, B, C, D, E, and all others. The bars represent the
produce 80% of the product defects: Eighty percent of the percentages of the company's sales going to the respective
cost associated with the defects will be assignable to only customers. Seventy-five percent of this company's sales are
about 20% of the total number of defect types occurring.? the result of just two customers. If one adds customer C,
Examining the elements of this cost will reveal that once 90% of its sales are accounted for. All the other customers
again 80% of the total defect cost will spring from only together account for only 10% of the company's sales. Bear
in mind that "all others" may include a very large number of
small customers. Which customers are the ones who should
about 20% of the cost elements.
Charts have shown that approximately 20% of the pro-
fessionals on the tennis tour reap 80% of the prize money be kept happy? Obviously, A, B, and perhaps C are the most
the basic total quality tools. Some authors would include
others, and we discuss some of the others briefly later in this
chapter. A case can be made that just-in-time (JIT), statistical
process control, and Quality Function Deployment are total
quality tools. But these are more than tools: They are com-
plete systems under the total quality umbrella. This book de-
votes an entire chapter to each of these systems.
A tool, like a hammer, exists to help do a job. If the job
includes continual improvement, problem solving, or deci-
sion making, then these seven tools fit the definition. Each
critical. This would suggest that customers A, B, and C are
the company's core market and all the other customers rep-
resent a marginal business. Decisions on where to allocate
resources should be made accordingly.
The Pareto chart in Figure 15.2 shows bars representing
the sales of a particular model of automobile by age group
of the buyers. The curve represents the cumulative percent-
age of sales and is keyed to the y-axis scale on the right. The
manufacturer has limited resources in its advertising budget,
and the chart reveals which age groups are the most logical
choice to target. Concentrating on the 26 to 45 age bracket
will result in the best return on investment because 76% of
45
40
35
15
of these tools is some form of chart for the collection and
10 .
display of specific kinds of data. Through the collection
and display facility, the data become useful information-
information that can be used to solve problems, enhance
decision making, keep track of work being done, and even
predict future performance and problems. The beauty of
the charts is that they organize data so that we can im-
mediately comprehend the message. This would be all but
impossible without the charts, given the mountains of data
flooding today's workplace.
5
the Swift V-12 buyers come from the combination of the 36
to 45 and 26 to 35 age groups. The significant few referred
to in the Pareto Principle are in the 26 to 45 age group. The
insignificant many are all those under 26 and over 45.
A
B
D
E
All Others
Customer
FIGURE 15.1 Pareto Chart: Percentage of Total Sales by
Customer.
% of Total Sales
Transcribed Image Text: Cascading Pareto Charts
Figure 15.4 clearly showed that one type of relay ac-
counted for about 60% of the failures. No other part fail-
ures came close. In this case and at this time, the relay was
the significant one, and all the other parts were the insig-
nificant many. At this point, another team was formed to
analyze the failure modes of the relay in order to determine
You can cascade Pareto charts by determining the most sig-
70
nificant category in the first chart, making a second chart
80
70
60-
50-
The next cycle of Pareto charts might look like those in
40 -
Figure 15.6. Starting at the top, we see the following points:
30
-
of
e 20
10-
1. Miswires (wires connected to the wrong point or not
properly attached to the right point) account for 40% of
the remaining rework cost.
2. Wires connected with hand-wrapping tools represent
more than 70% of all miswires.
3. Of the hand-wrap defects, more than 65% are caused by
operator error.
4. Of all the operators doing hand-wrap work, operators
33 and 28 contribute more than 80% of the defects.
900
100%
90%
- 80%
70%
800
700
Open
Coil
Open
Erratic
Open
Diode
45
90
Others
600
Contacts Contacts
40
-60% e
50%
40%
-80
70
A 500
3 400
A 300
200-
100
FIGURE 15.5 Relay Failure Categories.
30
60
E 25
-30%
-20%
-10%
-50
Top Six Defects by Rework Cost
15
-30
50
r 80
0%
10
20
60
36-
45
26-
55-
46-
55
Customer Age Group
18-
10
35
Up
25
-40
Relay MOS- Diode Diode Op
20
Attention must be given to those operators in the form of
training or, perhaps, reassignment.
The third Pareto chart cascading would break down
the Wrong Part problem. For example, perhaps Part abc
is mistakenly substituted for Part xyz on a printed circuit
board. The cycle may be repeated over and over, each time
dealing with the significant few, while ignoring the trivial
many. Eventually, perfection is approached. A few com-
All
FET Type A Type B Amp Others
- 20
10 -
FIGURE 15.2 Swift V-12 Sales by Age Group.
FIGURE 15.4 Rework Cost by Top Five Part Failure
Miswire, Wrong PC Bd PC Bd Solder
Short Open
ll
80
r90
Categories.
Part
Others
70
80
60 -
70
Top Sox Miswire Categories
50-
3 40-
60
a course of action for eliminating the relay problem. It was
determined that there were a number of failure modes in
80
* 70
E60
E 50
100
-80
30
the relay. They were plotted on the Pareto chart shown in
Figure 15.5, which immediately revealed that 66% of all the
30
60 * panies are getting close with some of their products, but
40 most have ample opportunity for significant improvement.
20
20
40
10-
E 30
20
10
failures were associated with one failure mode. The sec-
One need not worry about running out of improvement
possibilities.
-20
ond longest bar in Figure 15.5 represented another mani-
festation of the same root cause. The relay contacts were
not switching on at all (longest bar) or were not switch-
ing on completely (next longest bar). With this information
Part
Fallure
PC Bd All Others
Open
ae 10
Miswire
Wrong
Part
PC Bd
Short
Hand- Solder Hamess Mach Ribbon
All
Others
FIGURE 15.3 Top Five Defects by Rework Cost.
Wrap, PUPt
Wrap
related only to that category, and then repeating this as far known, the relay contacts were carefully examined, and it
as possible, to three, four, or even five or more charts. If the was determined that the relays were being damaged at in-
cascading is done properly, root causes of problems may be coming inspection where they were tested with a voltage
determined rather easily.
Consider the following example. A company pro- contacts. Changing the incoming test procedure and work-
duces complex electronic assemblies, and the test depart-
ment is concerned about the cost of rework resulting from ing with the relay vendor to improve its plating process
test failures. It is costing more than $190,000 per year, and eliminated the problem.
that amount is coming directly out of profit. The depart-
ment formed a special project team to find the cause of particular problem might be insignificant at one point in
the problem and reduce the cost of rework. The Pareto time, it might not stay that way. Consider what happens
chart in Figure 15.3 showed them that about 80% of the to the bars on the cascaded charts when the relay contact
cost was related to just five defect causes. All the others, problem is solved. The second longest bar on the chart in
and there were about 30 more, were insignificant-at least Figure 15.3 clearly becomes the longest (assuming it was
Hand-Wrap Defects by Category
70
100
60
50-
40-
30 -
80
that was high enough to damage the gold plating on the
60 a
40
20
20
10
Earlier in this chapter, we implied that although a
Operator
Tool
Op Sheet All Others
% of Hand-Wrap Defects by Operator
60
100
F80
-60 *
- 40 3
40
30
at that time.
The longest bar alone accounted for nearly 40% of the At this point, more than $100,000 a year is still being spent
cost. If the problem it represents could be solved, the result from profit to rework product rather than making it prop-
would be an immediate reduction of almost $75,000 in re-
work cost. The team sorted the data again to develop a level erly in the first place. The cycle must continue to be re-
2 Pareto chart, Figure 15.4, to focus on any part types that peated until perfection is approached.
might be a major contributor to the failures.
not being solved simultaneously with the relay problem).
8 20
10
20
Operator Operator Operator
28
Others
33
11
FIGURE 15.6 Second Cascading of Pareto Charts.
Note: The tallest bar becomes the subject of the next Pareto chart.
Rework Cost (SK)
Rework Cost ($K)
% ung
Rework Cost (SH
% ung