Introduction
Many people
have preventive (PM) and predictive maintenance (PdM)
systems in their organizations. But in many cases they’re
static systems. Once installed little attention is given to
optimizing them so they deliver the greatest reliability at
least cost. In this paper I’m going to suggest 5 ways you
can use to optimize your PM system. The term PM as used here
includes condition assessment (PdM) tasks.
Compare corrective maintenance costs to preventive
maintenance costs
One way to
help identify those machines that may have the wrong degree
of PM is to compare the cost of corrective maintenance with
the cost of preventive maintenance. The traditional U-curve
(Figure 1) showing the variation of costs with amount of PM
usually has a minimum in the total cost curve at about the
point where PM cost (PM$) equals CM cost (CM$). The real
minimum is not necessarily exactly at that point but for
most realistic curves is close.
Plotting
PM$/CM$ on a log scale should result in a curve similar to
Figure 2
Most of the
machines will usually be close to the one-to-one ratio;
those that are not are the ones we’re looking for.
Start with
the machines having the biggest ratio and smallest ratio. At
one extreme, a few machines will have as much as 30 to 40
times as much spent on them for corrective maintenance as
for preventive maintenance. It is likely that these machines
probably need additional preventive maintenance to reduce
the total cost of maintenance and to improve their
reliability. If these are critical machines, then you may
want to consider doing a full reliability centered
maintenance analysis for them. If they are priority
machines, then consider a simplified RCM analysis or contact
the OEM for their recommendations.
For those
machines that have PM$ much greater than CM$, look at the
existing tasks — do they really impact the reliability of
the machine? Often PM tasks are done because they can be,
not because the have any cost effective impact. PM tasks
should improve the reliability of the machine, its operating
cost, its life cycle cost or its useful life. Another
possibility is that the tasks are needed but they are being
done too often.
When you
calculate the ratios, you will probably find some machines
with no corrective maintenance cost or no preventive
maintenance cost. Look especially carefully at these
machines. Make sure the results match the degree of
preventive maintenance you want for those machines.
Use age exploration to determine periodicity
One of the
biggest causes of overspending on PM is doing tasks too
often. Assigning periodicity is usually done by the OEMs
recommendation or by gut feel. The OEM has different
objectives in assigning PM than you do. He wants to make
sure the machine lasts through the warrantee period. He is
not particularly worried about how much the PM costs. You
want to find the most cost effective PM.
If you know
the age-reliability relation for the machine or component,
possibly from RCM or another source, you can calculate an
appropriate periodicity directly. If you suspect that tasks
are being done too often, you can increase the periodicity
while monitoring the impact on the machine. This technique
is called age exploration.
Before
starting to explore the period, measure and record in detail
the condition of the affected components. If the components
show no sign of wear and tear during this inspection,
increase the period of the PM by 10%. At the next scheduled
PM, re-inspect the components. If there is still no sign of
wear, increase the period by another 10%. Repeat this cycle
until at one the inspections, signs of incipient wear out
are found. Now back off the periodicity by about 10% and
take this as the new scheduling periodicity.
It's a good
idea to closely inspect the components at the next several
scheduled PMs to make sure the wearing has stopped. If you
find signs of continued wear, reduce the period again and
continue to observe.
A reduction
in corrective repairs is a side benefit of increasing the PM
period. United Airlines found that by using age exploration
they could increase the overhaul interval of a hydraulic
pump from 6,000 hours to 14,000 hours. They also found that
the rate of corrective maintenance was reduced by over half.
This reduction was attributed to less intrusion and handling
of the pump that could introduce faults and dirt.
Sort tasks by labor costs and look for maintainability
improvements
Another way
to find tasks that can be improved is to sort the tasks by
the amount of labor required. It's best to use actual
historical figures if they are available but planning
estimates will work also. Look at the tasks that require a
lot of manpower. Is there another way to accomplish the
intent of the task without as much manpower? Can the machine
be modified to make the task easier? For example, say a task
to inspect the wear on a gear set takes a machinist, 2
riggers and an electrician a total of 12 man-hours. An
interfering electric motor must be rigged out of the way, a
cover plate is un-bolted and rigged out, the inspection made
and then interference is restored. By putting a hinged
inspection port in the gear set cover, the inspection could
be done in 30 minutes by one machinist.
Other
possibilities are changing the route the lubricator or
vibration data collector follows when making his rounds to
save time, building a special tool or jig to make the task
easier, installing an access platform, or even upgrading to
a higher grade of lubricant or component which will last
longer.
Look for correlation of number of repairs with particular PM
tasks or production events
History has
shown that the incidence of corrective repairs is greatest
immediately after an overhaul or major repair. (See Figure
3),
by looking at the rate of corrective maintenance over time
you may find there are regular periods where the number of
repairs is higher than normal. This may occur only for one
machine or for a whole line. Now look at your PM history.
What PMs were done just prior to the increase in failure
rate? Could they be causing the failures? Look especially
for PMs that could introduce dirt into the system such as
lubrication, PMs that break the system boundary such as an
overhaul or PMs that affect some related component such as
alignment. If you find likely candidates, investigate them
to see if they can be eliminated, the procedure changed or
new tools made available to eliminate the problem.
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Another area
that may be introducing problems is production setup. Do the
higher CM rates correlate with changes in setup? If so, look
for ways to correct the problem before startup. Maybe a PM
to do an adjustment or check an alignment is needed?
Adjust degree of PM based on classification of machine
Is the
amount of PM on each machine appropriate for the
classification of the machine? A machine whose failure will
affect sales or safety of people or equipment should have a
higher degree of PM than a machine whose failure will only
affect production but not sales or safety. And that machine
will have a higher degree of PM than a machine whose failure
will not affect production. See Figure 4.
A machine
whose failures will immediately impact sales should probably
be operated near the point of lowest downtime at least
maintenance cost. A machine whose failure will not affect
sales or production should be operated near the point of
most economical maintenance. A machine that can affect
production but production can be recovered before sales
impact should be operated at the point of least maintenance
and lost production cost.
Finally, ask
yourself if you even need to do PM on some machines. It may
be cheaper to let them run to failure than to PM them.