Pharmaceutical Outsourcing Q2 2024 - 20

CONTRACT RESEARCH
Elevating Laboratory and
Manufacturing Equipment Health
With AI-Predicted Health Score
Sridhar Iyengar
CIO & Founder
Elemental Machines
Introduction to Equipment Health in Labs
and Manufacturing
The role of ultra-low temperature (ULT) freezers in pharmaceutical,
biopharmaceutical manufacturing, and medical device manufacturing
is indispensable. These critical assets ensure the integrity of biological
samples and temperature-sensitive materials, underpinning
vital research and production processes. The introduction of the AIPredicted
Health Score by Elemental Machines marks a significant
advancement in monitoring and maintaining the health of freezers
and other lab equipment, leveraging the convergence of artificial
intelligence (AI) and the Internet of Things (IoT) to transform maintenance
approaches.1
The Urgency of Efficient
Equipment Management
Managing a diverse array of lab equipment - from sequencers to
centrifuges - is a formidable challenge. Unplanned downtime can
have significant repercussions, including disrupted research activities
and substantial financial losses. Predictive maintenance plays a key
role in minimizing these impacts by forecasting potential failures,
ensuring operational continuity, and extending equipment life span.2
In the face of global market growth and an increasingly competitive
environment, the manufacturing industry is under pressure to
seek continuous improvement. This has led to a focused effort on
squeezing every asset for maximum value without significantly
compromising system reliability or productivity. The introduction of
intelligent maintenance systems (IMS) and predictive manufacturing
approaches has emerged as a crucial advancement in minimizing
unplanned downtime, assuring product quality, reducing customer
dissatisfaction, and maintaining a competitive edge in the market.
These systems provide decision support tools that optimize
maintenance operations through intelligent prognostic and health
management tools, imperative for consistent production with
minimized unplanned downtime.3
The Role of AI in Predictive
Equipment Maintenance
The AI-Predicted Health Score utilizes IoT sensors and proprietary
AI algorithms to forecast equipment health and efficiency. This
innovative approach enables laboratories to adopt more sustainable
and efficient practices through:
* Frequent data collection: Every 15 seconds data on
temperature and power consumption are gathered, offering a
granular view of equipment performance.
* AI analysis: The algorithms analyze this data to identify early signs
of potential failure, a capability refined through the analysis of vast
datasets, underscoring the importance of early intervention.4
Pharmaceutical Outsourcing | 20 | April/May/June 2024
Pharmaceutical Outsourcing Q2 2024

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