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Focusing
Improvement Efforts for Total Quality Management
We can also use
this production system to examine the effects of a Total Quality
Management oriented program to reduce defects produced in the
system. The defect rates for each resource are shown in Figure 5.
This is again the same production system shown in Figure 1. The
resources shown in Figure 5 with a square in the middle have a
defect rate of 5 parts per hundred, while those with a circle in the
middle have a defect rate of 4 per hundred parts produced. The
resources shown as cross-hatched have a defect rate of 3 per
hundred, and those which are unmarked have a defect rate of 2 per
hundred. The resources with a black dot in the middle have a defect
rate of one per hundred parts. If we could reduce the defect rate to
half its current level on any one resource, which one should we
target first?
Without taking the
effects of constraints into account, a conventional answer would be
to select one of the resources marked with a square, to reduce its
defect rate from 5 parts to 2.5 parts per hundred. However, this
does not consider the difference between a constraint and a
non-constraint resource, as shown in Figure 2. While all of the
non-constraint resources can make more than enough parts to make up
for their defect rates, the constraint cannot. If the constraint
resource makes a bad part, it is a part that is lost to the system's
output and cannot be made up. If the people operating that resource
had taken a rest instead of making the defective part, it would have
the same result for the system's output as if the defective part had
never been made in the first place. This brings up an issue
regarding defective parts made at resources in the system other than
the constraint.
If a
one-hundred-percent screening process could be put in place to
reject defective parts that have already been produced, where is the
most important place in the system to put it? If this screening
process was placed just in front of the constraint resource, then
the constraint would not work on any parts that were already
defective. Having the constraint work on a part that is already
defective is just as wasteful as not making it at all. It would be
just as productive to give the workers a break, instead of making a
part that cannot be used.
There is no question that defect rates throughout the system should
be targeted for reduction. However, rather than try to improve
everything at the same time, with a "tidal wave" of improvement
washing through the system, it makes sense to target those defect
rates first which have the greatest impact on the system. Once the
defect reduction is accomplished at the constraint, the processes
which follow it in the production sequence should be targeted next.
This is because once the parts have been worked on by the
constraint, they become in a sense, "gold plated." It would be
wasteful to have them become defective after that, since it would
reduce the system's output just as much as if the constraint had not
made the parts at all.
Also, effective
screening processes should be placed in front of the assembly
resource K which follows the constraint (marked with a black dot).
This would prevent any already defective parts from being assembled
with parts that the constraint has worked on, resulting in an
overall defect. There is no question that all of the defect rates at
all of the resources in the system should be reduced. It should be
apparent that focusing the efforts can lead to greater impact on the
overall system by multiplying the effectiveness of a Total Quality
Management oriented program to reduce the defects produced. The
outcome of this focused program would be that tangible results would
be produced much more quickly, with much less disruption to the
system's operation, and at much less expense.
Conclusion
Constraint
Management can be used to multiply the effectiveness of Total
Quality Management and Just-In-Time improvement programs, without
contradicting their philosophy or their methods. Through a focus on
Throughput, Constraints, and Protective Capacity, Constraint
Management can provide a means to achieve very rapid improvement,
with much less investment and much less disruption than TQM or JIT
programs without this focus. In addition to targeting these
improvement programs, Constraint Management calls for a recognition
of the importance of the performance measurement and reward systems
in either stifling or accelerating the improvements. This stems from
a realization that the behavior of individuals is heavily influenced
by the ways they are measured and rewarded.
While the
illustration of manufacturing improvement provides a useful context
to discuss Constraint Management, this should NOT be interpreted to
mean that Constraint Management is only useful in manufacturing.
Constraint Management has been used very effectively to improve the
management of manufacturers, service organizations, educational
institutions, and government agencies, among others. A primary value
of the Constraint Management approach is that it provides a focus
for improvement efforts, including other programs, rather than
replacing or contradicting them.
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