September 2016 |
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Digital
Transformation meets Facilities Management Transforming People, Process & Place with the Internet of Things |
Rick Rolston CEO BuiltSpace Technologies Corp. |
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Cap
Gemini defines digital transformation as the use of technology to radically improve
the performance or reach of enterprises.
This raises some immediate questions:
Let’s start with the end result. How do we
define performance? To an asset manager, performance may be measured in
terms of operating cash flow or capitalization rate. To a facilities manager, performance may be measured in
operating costs per square meter, or the number of end-user complaints
per period. To the energy manager performance is likely measured in
energy intensity (kWh) per square meter or energy savings.
In the C-suite, there is no doubt that performance will be measured in
financial terms.
How, then, do we find radical improvements in financial performance
across large portfolios of real estate assets? Cap Gemini
identified customer experience, operational processes, and business
models as key targets for digital transformation. Not only
are these transformation targets, but they are interconnected.
In my blog of January 2016 I looked at how external
digital transformation is already challenging commercial real
estate. I described how WeWork and others are already transforming real
estate with on-demand real estate business models that replace
traditional multi-year leases with space-on-demand, for a day, a week,
or a year. Now, it’s not a question of leading the
transformation, but surviving it.
On-demand real estate (a new business model) is the new norm, and
on-demand services to the end-customer (customer experience) will be
supported by on-demand back-of-the-house services (operational
performance). And, we have to measure it all in financial terms.
If the technology used to transform enterprises is the Internet of
Things (IoT), how can the IoT radically transform customer experience,
operational performance or traditional business models? Radical transformation is a big
ask, and there are really only a few options for adding value or
reducing costs.
What are the options?
But, it’s not so easy to find those savings. For
example, let’s assume that we can install a device on a heat pump air
filter, for a one-time cost of $50 that tells the facilities manager
when the air filter should be replaced. Current practice is
to replace the filter every 90 days, at a cost of $40, as part of the
quarterly equipment inspection. This inspection is
conducted on about 20 heat pumps per day, where the technician has
scheduled, and prepared the filters in advanced, in order to complete
as many changes as possible today, minimizing labor cost per
intervention.
The proposed IoT device, to be deployed across hundreds of heat pumps,
alerts the technician when it’s time to replace individual filters, at
random locations, based on how dirty each filter becomes.
As a result the technician needs to now rework his schedule to replace
the individual filter as it becomes clogged. In doing so, he
loses the economy of large-scale replacement, possibly resulting in
additional trips to site, and higher costs per replacement.
If the technician is able to maintain the same cost per replacement,
through efficient scheduling and the average filter change interval is
extended by 30 days (from 90 to 120 days), it’s a simple calculation to
discover it will take 12 years to recover the $50 investment in the IoT
device, based on labor savings alone. If the cost per
replacement increases even slightly, there is no benefit to remote
monitoring.
[an error occurred while processing this directive]Of course there are many examples where remote
monitoring would provide an acceptable, or superior, return on
investment, but in order to determine the viability of IoT deployment,
facilities managers need to clearly understand the costs, and that’s
where there is opportunity for radical performance improvement.
To make IoT investment decisions, such as the above example, we need to
be able to better measure operating costs, to the equipment level, in
real time. Traditional accounting processes (paper work
orders, mailed or emailed invoices, paper PM records) take days or
weeks to complete, and generally fail to collect accurate, equipment
level, data about operating and service costs. As we have
seen in the above example, the viability of IoT technology can be very
sensitive to process costs.
Measuring operational costs in real time becomes a pre-requisite to IoT
deployment and on-going facilities management.
There is room for radical transformation of these operational
processes. What if we could shorten the average
length of a service intervention from 30+ days, to just one
day? What if we could reduce the average hours per work
order from 5-6 hours, to just 2.5 to 3 hours? What if we
could eliminate 98 percent of administrative workload when managing
workflows, from service request to invoice? What if equipment
level service records and financial costs could be accounted for in
real-time even when external contractors complete services?
Better information, and improved operational efficiency will ripple
across business processes to transform customer experience and enable
new business processes. Operational process improvement goes far
beyond “reducing truck rolls” by remotely monitoring buildings with IoT
devices. Fewer truck rolls can and will be further optimized with
more efficient truck rolls,
driven by better process and better information available when and
where needed.
Radical transformation. Bring it on!
About the Author
Rick Rolston is the CEO of BuiltSpace Technologies Corp. (Vancouver BC,
Canada), helping facilities managers, service providers and tenants to
radically transform building services with the BuiltSpace integrated
services management platform.
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