Pharmaceutical Outsourcing Q2 2024 - 21

CONTRACT RESEARCH
SECTION TITLE
* Predictive alerts: By anticipating equipment issues, the Health
Score enables proactive maintenance strategies, significantly
reducing the likelihood of unplanned downtime and associated
costs, while maximizing equipment life span.3
Advantages of Chill-Up and AI-Predicted
Health Score
Implementing chill-up strategies for ULT freezers and leveraging
the AI-Predicted Health Score results in enhanced energy efficiency
and equipment health. These strategies not only reduce energy
consumption, but also extend freezer longevity and reduce
maintenance needs, embodying the dual benefits of energy
conservation and improved equipment durability.
Elemental Machines conducted a study to explore the potential
of chill-up freezer set points and the impact of AI-Predicted Health
Scores on energy consumption and freezer health:
* Chill-up freezer set points: Adjusting ULT freezers from the
standard -80°C to -70°C demonstrated a remarkable 20%
reduction in daily energy use, translating into significant cost
savings without compromising sample integrity.
* Operational impact: The study revealed that newer freezers
more effectively maintain chill-up temperatures, optimizing
energy use; the AI-Predicted Health Score further aids in
monitoring these adjustments, highlighting the reduced strain
on compressors and extending equipment life span.
The application of AI in predictive maintenance has also shown
significant promise in enhancing the operational
efficiency of
renewable energy systems. A case study focusing on the predictive
maintenance of wind farms demonstrated that AI assistance improved
the technical inspector's specificity and time efficiency in identifying
bearing faults through endoscopic images. This AI assistance had
a statistically significant impact, improving specificity and time
efficiency by 24.6% and 25.3%, respectively, for generalists (4.7% and
6.4%, respectively, for specialists). This illustrates the potential of AI
to enhance energy efficiency and operational reliability in a diverse
range of equipment, including ULT freezers in laboratory settings.5
Moreover, AI-driven predictive maintenance facilitates a shift from
traditional maintenance approaches to more dynamic, proactive
strategies. By analyzing historical maintenance records and realtime
sensor data, AI algorithms can anticipate equipment failures
before they occur, allowing for more effective resource allocation
and mitigating downtime. This approach not only enhances
equipment life span, but also contributes to a more sustainable
operational practice by optimizing energy use and minimizing waste,
underscoring the transformative potential of AI and machine learning
in predictive maintenance.6
Scalability and Security: Pillars of Asset
Monitoring Software Solutions
Cloud-based software solutions emphasize scalability and security,
ensuring they adapt to the evolving needs of modern labs and
pharmoutsourcing.com | 21 | April/May/June 2024
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Pharmaceutical Outsourcing Q2 2024

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