Impact of Enterprise Asset Management System (EAMS) implementation on Preventive & Predictive Maintenance (PPM) optimization. Simply put, if EAMS or CMMS is poorly implemented or EAMS is not implemented at all for an enterprise or plant, Organizations will not be able to have the required data to support or enable PPM optimization.

1. Impact of Enterprise Asset
Management System (EAMS) on
Preventive & Predictive
Maintenance (PPM) optimization
Fortunatus Udegbue (MBA. M.Sc. CMRP. ASQ-CRE. PMP)

2. Definition-1
• PPM optimization is a continuous process to ensure PPM activities are
effective and efficient.
• Effectiveness is a measure of how well a PPM program is producing the
intended result for putting the PPM program in-place.
• Efficiency is a measure of the effectiveness at the least possible resource
usage.
A PPM program that enables equipment reliability to be maintained at the inherent
reliability will be considered effected, however if the cost of the PPM program
implementation is higher than the least possible, then the PPM program will not be
considered as efficient.
• The PPM intended result is to maintain the Equipment at the same level as
the inherent or design reliability

3. Examples of In-effective PPM Program-1
• PPM that does not address any particular failure mode associated to
the equipment that the PPM program is being implemented on.
• A PPM program that detects a failure mode but the Point of detection
to point of total functional failure (P-F) interval is so short that the
corrective action can not be normally planned and scheduled but
must be expedited.
• A PPM program that detects a failure mode after it has occurred.
• A PPM program whose implementation has a very high chance of
inducing failure to the Equipment due to human error.
Most intrusive PPM programs are likely to fall into this category except a very
disciplined measure is put in-place to eliminate the human error.

4. Examples of In-effective PPM Program-2
• PPM program whose objective is to raise the reliability of the
equipment above the inherent/design reliability.
• A PPM program that was initiated without consideration of the
equipment failure pattern i.e. (i) infant mortality (ii) random failure
(iii) wear out failure pattern.
• A PPM program that has been executed twelve consecutive times
without detecting a failure mode in advance or preventing a failure
from occurring.

5. EAMS as the source of data for measuring
PPM effectiveness-1
• Equipment Taxonomy Structure implemented in the EAMS:
• The EAMS when properly implemented enables reliability engineers (RE) to
have the correct data to calculate equipment reliability. If the RE cannot
determine the reliability of the equipment, then we do not have any basis to
determine if our PPM program is effective or not because we have nothing to
compare against the design reliability.
• The EAMS when properly implemented enables reliability engineers (RE) to
determine the failure pattern of the failure pattern of equipment. This is
because failure patterns are usually deduced from a Weibull plot, which can
only be plotted using reliability data.

6. EAMS as the source of data for measuring
PPM effectiveness-2
• Failure reporting business process designed into the EAMS:
• The EAMS when properly implemented enables reliability engineers (RE) to
determine the failure pattern of the failure pattern of equipment. This is because
failure patterns are usually deduced from a Weibull plot, which can only be plotted
using reliability for a particular failure mode. When carrying out Weibull analysis, it
is highly recommended to use one failure mode and not mix the failure modes.
Mixing the failure mode brings about multimodal analysis whose reliability
determination is not as straight forward as that of a single failure mode. It is
recommended to use the Weibull equation to determine the PPM execution
frequency. Using the 2 parameter Weibull equation
f(t) = the characteristic life ( ) and slope ( )
can be determined for the predominant failure pattern and used to find t.

7. EAMS as the source of data for measuring
PPM effectiveness-3
• Failure reporting business process designed into the EAMS-
(continued):
• Identification of failure mode during failure reporting enables:
Capturing of failure mode not identified during the initial Failure Mode Effect Analysis
(FMEA) which is usually an integral part of the Reliability Centered Maintenance (RCM)
used for the equipment strategy development which produced the PPM tasks. Capturing
this failure mode helps optimize the PPM by developing PPM tasks to mitigate the failure
mode.
Determination of the effectiveness of PPM tasks to mitigate or proactively detect failure
modes. If reactive failures reported have the same failure modes which the PPM tasks
were supposed to proactively identify or mitigate, this becomes an indication that the
PPM task is not effective.

8. EAMS as the source of data for measuring
PPM efficiency-1
• PPM Cost Allocation
If the EAMS does not have the capability to capture all the PPM costs
(material, internal-labor, external service) against specific PPM task for the
mitigation of specific failure modes, we will not be able to measure the cost
benefit of the PPM task. Cost-benefit-ratio will normally be calculated as the
ratio of PPM-task-cost to the cost-of-unreliability (COUR) of the equipment
due to the failure mode. The rule of thumb is that if the cost-benefit-ratio is
equal to or greater than 1, then the PPM task is not efficient. Sometimes the
cost-benefit-ratio will be less than 1 and the PPM task can also be considered
not efficient if there are other data to prove that the failure mode could have
been mitigated at a cost lower than the present cost of the PPM task for
mitigation of the failure mode .

9. Conclusion
• PPM optimization is dependent on PPM task field execution data. If
the EAMS is not properly implemented either due to poor business
process design or reengineering or EAMS not having the necessary
features, then PPM task execution report in the EAMS will be
jeopardized, thus PPM optimization will be jeopardized.
• It is recommended that the experts are invited to audit your EAMS to
be sure it is designed to deliver the right reliability value to your
organization.

10. Contact us
• For further assistance contact:
• Phone: (832) 496-1455
• Email: info@fogaecelectrophysics.com