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P. 63
Facility ManageMent
Integrating Predictive operational efficiency, predictive
maintenance should enable
Maintenance in FM teams to focus efforts on critical
The hard services in IFM, systems that require immediate
consisting of mechanical, attention. This, in turn, will
electrical, plumbing, and maximize uptime, minimize
structural components, form disruptions, and improve overall
the backbone of a facility’s operational efficiency at clients’
infrastructure, playing a critical facilities.
role in ensuring its smooth and Unforeseen equipment failures
efficient operation. However, could pose safety hazards to
breakdowns and inefficiencies occupants and the facility itself.
within these systems can lead Identifying potential risks and
to costly disruptions, affecting taking proactive measures will
productivity and occupant help mitigate these dangers
comfort. To counteract these and ensure a safer working
challenges, the integration environment.
of predictive maintenance
is essential in the facility We ensure well-maintained
management landscape, says HVAC systems provide optimal
Aniket Sheth, Senior Vice indoor temperatures and air
President, SILA. quality, while robust electrical
Predictive maintenance and plumbing systems ensure
safety and convenience.
involves the use of data,
analytics, and machine Effective maintenance of hard
learning algorithms to foresee services preserves the facility’s
potential equipment failures. assets and infrastructure,
When applied to hard services prolonging their lifespan and
within facility operations, this protecting their value. Our
approach transforms the way dedicated team is responsible for
maintenance tasks are planned, regular upkeep which reduces
executed and managed. Here is the need for costly repairs or
how we approach and strategize premature replacements.
operations:
We collect the historical and Implementing
real-time data from sensors Predictive
and IoT devices. With this, the
predictive maintenance models Maintenance in Hard
can forecast the lifespan and Services
potential failure points of critical 1. Sensor Technology and IoT
equipment. This allows us to Integration: Installing sensors
schedule timely maintenance, on critical equipment enables
preventing unexpected real-time data collection
breakdowns and ensuring the regarding temperature,
continuous functionality of pressure, vibration, and
systems. other performance metrics.
In terms of cost efficiency, we IoT integration allows for
have optimized our budgets by seamless data transmission to
targeting maintenance efforts centralized systems for our
precisely where needed, reducing analysis.
unnecessary expenditures on 2. Data Analytics and Machine
premature replacements or Learning: Advanced analytics
emergency fixes. and machine learning
In order to increase algorithms process the
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