Efficient Plant October 2017 - 16
feature | industry views
Gary L. Parr
Implementing and benefitting from IIoT technology can be a challenge.
We turned to industry leaders for advice.
MANUFACTURER IMPLEMENTATION of IoT/
IIoT (Industrial Internet of Things) technology is occurring at a rapid pace as increasing numbers of plant managers come to realize its potential to increase reliability,
efficiency and, ultimately, profitability. According to recent research conducted by the MPI Group (mpi-group.
com, Shaker Heights, OH), three years ago, nearly half of
manufacturing executives hadn't heard of the Internet of
Things and another 43% hadn't adopted an IoT strategy.
Two years ago, 66% of manufacturers surveyed had little
or no companywide understanding of IoT technology
and how to apply it to their businesses.
In 2017, 66% of manufacturers have developed some
or a significant companywide understanding of IoT and
how to apply it to their businesses. Even more compelling is that 65% of what the MPI Group calls Process
Profit Leaders have an IoT process strategy in place and
implemented and 76% of that group has invested more
than 5% of sales in the technology. Those numbers are
19% and 33%, respectively, for all other manufacturers.
While we have reached the necessary level of awareness, implementing and, more important, benefitting
from IIoT technology is the biggest hurdle facing many
manufacturers. To gain insight into how to get over that
hurdle, we asked some of the best minds at leading technology companies to offer their insights by answering
What is your advice for how to sustain, expand, and/
or exploit IIoT use in an enterprise?
What key area is a good starting point to apply IIoT
technology for PM/PdM improvement?
It's a Continuous Journey
Rob McGreevy, Vice President of
Operations, Information, and Asset
Management, Schneider Electric,
Andover, MA, schneider-electric.us.
In my experience, it's important to
think of adopting IIoT technologies
as a continuous journey, with differing steps based on where you already
are-there isn't a one-size-fits-all approach.
As you consider IIoT implementations, it's critical that you
focus on achieving concrete business goals such as improving reliability or performance. Look to build on your
existing investments and try to discover the gaps in efficiency where digital transformation can add the most value.
For instance, if you are already capturing real-time data
through a data historian, but your maintenance is purely
preventive, consider adding on a condition-monitoring
solution that uses rules-based logic to trigger work orders
in your EAM [Enterprise Asset Management system].
For predictive maintenance specifically, start by taking
a look at what assets really matter to your business. Which
pieces of equipment are mission critical? Where would
failure have the largest impact on the enterprise? Which
processes are the highest contributors to your bottom line,
and which assets drive those processes? Answering these
questions will help you establish where a predictive-maintenance [PdM] implementation can make the most immediate business impact. It may also be helpful to consider
remote monitoring services, which can supplement your
existing team and provide valuable expertise, either in the
form of initial training or as an ongoing resource.