Efficient Plant April 2019 - 32

department | on the floor
weren't even on our radar screen. Reliability and maintainability were getting more
attention, but much more focus was on lean
manufacturing, just-in-time processes, and
Six-Sigma.
The "Evolution of R&M Tools & Technologies" chart on p. 31 is not meant to be allinclusive, but a representation of the many
different tools and techniques that are
involved and how quickly they're being introduced. It took more than 60 years to go from
reactive to time-based to predictive maintenance, and too many are still trying to figure
it out. For everyone, there is still opportunity.
Look at the pace of change and some of the
new items since just 2010. There is a renewed
interest in precision maintenance, cloudbased data storage and analysis, IoT, better
real-time data, edge computing, and artificial
intelligence. Edge computing is computing
that's done at/near the source of the data.

The lower cost of sensors and computing is
putting computational capability where it's
needed most. It uses analytics to make maintenance predictions and puts in place needed
action items, i.e., contact a mobile asset for
faster repair.
Artificial intelligence (AI) has come a long
way, but is still in its infancy. AI perceives
information, stores it (knowledge), and
applies it in new situations. More will be happening with prescriptive maintenance (AI,
algorithms). One ultimate goal is to emulate
biological neural networks. I also placed
purchasing for R&M (design-in and life-cycle
cost basis) on the future list, hoping that the
machine learning/AI systems will build it into
their decision making.
Quantum computing has the potential
to increase computing capability on a scale
of billions. It applies the laws of quantum
physics, enabling it to simultaneously perform

Looking to refocus or revitalize
your maintenance program?
Looking to prepare for ISO 55001 certification?
Does your program currently:
P Lack confidence in its

P Lack the time to

P Lack strategic direction?
P Lack effective communication?

P Lack succession planning?
P Lack effective work planning

maintenance data?

complete all work?

and scheduling?

If you answered YES to any of the above,
call Ken Bannister at ENGTECH
ENGTECH Industries Inc-
successfully implementing usable asset management
programs for over 27 years-at (519) 469-9173
or email kbannister@engtechindustries.com
and let's talk maintenance!

computations in multiple states. The traditional laws of physics will no longer apply,
allowing it to store and use vast amounts of
data.
Along the pathway of changes in R&M
from the 1940s to today, when the paradigms were changing, there were periods of
uncertainty. Why should we change? Benefits
and payback of the new tools and technologies were typically oversold and early users
were often discouraged. As the applicability
improved, so did the acceptance and return
on investment.
A recent study, "What Separates Leaders
from Laggards in the Internet of Things,"
January 2019, McKinsey & Co., New York
(mckinsey.com), found that:
 less than 30% moved their IoT programs
beyond the pilot phase
 only a sixth of companies experienced a
positive impact on cost and revenues
 improving financial impact required
numerous implementations with a steep
learning curve (first 15 use cases had only a
modest impact).
So, it's not surprising that many facilities
that struggle to just get weekly production out
don't engage in this yet. As I recommend to
every facility that I visit, "get your data ready"
(to trust it for decision making). The systems
will come hungry for data. Be ready to feed
them good data. Also, going forward, with the
speed of what's coming in computing power
and R&M tools, it's going to be more revolution than evolution. EP

Based in Knoxville, Klaus M. Blache
is director of the Reliability &
Maintainability Center at the Univ. of
Tennessee, and a research professor in
the College of Engineering. Contact him
at kblache@utk.edu.

Helping People manage People who Manage Assets!

32

| EFFICIENTPLANTMAG.COM

APRIL 2019


http://www.mckinsey.com http://www.EFFICIENTPLANTMAG.COM

Efficient Plant April 2019

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