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Reliability in 2016
Projections by
R. Keith Mobley, CMRP, Reliability Principal,
Life Cycle Engineering, Inc.
There is little doubt that technology, especially in the areas
of Enterprise Asset Management and Predictive
Maintenance will continue to evolve over the next ten
years. EAM vendors, such as SAP, Oracle and others, will follow
the evolution of microprocessors and provide systems that are
more and more interactive and by the year 2016 these systems
will most likely include artificial intelligence that will not
only store the massive volume of data generated by business, but
will also provide recommendations for business decisions based
on computer generated logic and analyses.
The same is true of predictive maintenance or condition
monitoring systems. In the future, these technologies will grow
to include “smart” assets that have built-in microprocessors
that automatically evaluate the asset’s operating condition and
generate work orders for preemptive or corrective actions. This
technology is already available in limited areas, such as
process control valves, that are able to perform mandated
testing and condition assessments.
So technology from the standpoint of vendors that provide
information management and condition monitoring systems will be
an integral part of the reliability world in the year 2016, but
will these technologies be enough for American industries to
compete effectively in the world market? These new systems, as
well as the production and manufacturing systems, will be more
and more complex. Who will operate and maintain them?
The dilemma that an American company will face in the year 2016
is the poorly educated, un-motivated workforce that will be
needed to operate and maintain these highly complex systems.
Even today, many operators and maintenance craftsperson are
struggling with current technology. Just ten years ago, a
typical craftsperson was expected to read and understand about
five hundreds pages of technical information, written at the
eighth grade level, to maintain plant equipment. Today, that
craftsperson must read and understand five thousand pages
written at undergraduate or higher level. What will it be like
in 2016?
Combine this problem with the decline of our education system
that is not providing competency in basic skills such as
reading, writing and mathematics, as well as the sciences, and
companies in the future face an even more daunting problem. As a
result, these new technologies are a blessing and a curse. The
anticipated capabilities of the computer-based systems of
tomorrow are much needed and should add value; but without the
skills to use them their value is nil.
If we are to remain a competitive force in the global market of
2016, our view of reliability must change radically. First,
reliability must expand from a simple view of predictive
maintenance and the application of technologies as a means to
prevent damage to installed assets to one of comprehensive
Life Cycle Asset Management. This change is driven by two
critical factors, as well as other forcing functions that cannot
be resolved by technology.
The first factor that will force a change is the loss of a
skilled workforce. For decades, American industry has relied
almost exclusively on a workforce that was well trained in the
skills required to design, install, operate and maintain its
production and manufacturing assets. Unfortunately, our society
has virtually eliminated these traits from the workforce of
today and will only get worse in the future. As a result,
manufacturing companies, as well as vendors and service
providers, will have to invest heavily in training and workforce
development to survive in the world of 2016. This will mandate
a return to the apprenticeship programs that were prevalent in
the 1950s, as well as remedial training in the basic skills that
our education system is failing to provide.
The second factor is the degradation of the basics of good
business. America achieved its premier role as the leading
producer in the world by absolute adherence to sound business
practices, such as product quality, fair prices, and
single-point accountability throughout its workforce. Most, if
not all, of these tenants have disappeared in today’s
businesses. To survive and be competitive in 2016, American
business must return to the basic tenants of good business.
These include:
Standard Operating Procedures: There is only one best way
to do anything from managing a business to performing preventive
maintenance. Successful companies will return to this
fundamental requirement and reinstate the use of and absolute
adherence of SOPs in every facet of their operation.
Long view—not instant gratification: We have become a
nation that seeks instant, easy solutions to any and all
problems. We are impatient and want immediate results rather
that take the long view and make business decisions that will
yield the best long-term results.
Data-driven decisions: Most of today’s companies have
computer-based systems that store and report performance and
financial data, but few use this information to make business
decisions. Instead, plant and corporate management make
decisions based on perception or skewed data generated by
selective use of the data contained in these systems. Without a
basic change in the use of data to ensure decisions that are
based on fact, nothing will change.
Yes, in 2016 information management systems will have evolved to
a level that rivals video games. We will be able to interact
with these databases and extract also any level of data that we
could ever ask for. Data acquisition will be simple and
straightforward. Most assets with include a “brain” that will
wirelessly talk to our computer so we can know anything and
everything we need to know without leaving our desk. The only
question that remains is:
Will we be capable of using the these technologies and if so,
will well have the skills needed to use the gained knowledge to
effectively manage a competitive business, operate the new
generations of production systems; and perform sustaining levels
of maintenance that will keep them running? |