Aizon Introduces a Pharmaceutical Manufacturing Predictive Maintenance Solution

Aizon | January 25, 2022

On January 24, Aizon announced the introduction of its new asset tracking tool for the pharmaceutical and biotech industries. Aizon Asset Health is built on Aizon's GxP-compliant AI SaaS Platform. It performs intelligent historical maintenance analysis, continuously monitors the condition of critical assets in real-time, identifies potential problems, and provides actionable maintenance recommendations to keep equipment operating at peak performance. This data-driven approach to maintenance lowers maintenance costs, minimizes unexpected downtime, and maximizes product output, thus maximizing the potential of Smart Pharma Manufacturing.

Maintaining manufacturing equipment in good operating order may be costly and inefficient. A schedule-based approach to maintenance frequently results in the wasteful repair or replacement of equipment that is still operating in acceptable conditions or the catastrophic failure of equipment owing to undiscovered faults. This might result in production interruptions, product rejection, and a longer time to market, and product compromise. That is, guaranteeing that any operation is executed correctly the first time and every time. Combining sophisticated analytics and multivariate analysis with artificial intelligence, the Aizon Asset Health program improves unexpected downtime reduction beyond today's industry standard, eventually lowering maintenance costs while increasing asset dependability and performance.

"Pharmaceutical manufacturers and biotech companies are under tremendous pressure to maximize their return on investment and to reduce unplanned downtime. However, the traditional schedule-based maintenance approach tends to fall short in terms of gaining control of downtime and the high costs associated with replacing equipment in an effort to achieve better performance, Our Asset Health application enables our customers to harness the power of their equipment and environmental data to slash maintenance costs, optimize equipment performance, enhance product output, and improve product quality."

-John Vitalie, CEO, Aizon

Monitoring Intelligent, Real-Time Assets Across Equipment and Facilities
The Aizon Asset Health application enables pharmaceutical and biotech organizations to employ predictive analytics to monitor their assets' health and receive advanced warnings on their problems based on the solution's prescriptive and conditional data-driven insights. These actionable insights enable operators and maintenance teams to respond and intervene in real-time, ensuring the continued operation of manufacturing lines. In addition, asset Health is a cloud-native application that can be expanded across various sites and regions and maintains a history and condition of every piece of equipment.

This enables pharmaceutical and biotechnology organizations to assure total asset integrity, maintain ideal facility conditions (such as temperature, humidity, and vibration), forecast the projected life of equipment, and track the energy utilized by an asset and its CO2 emissions. Furthermore, this vital information is aggregated on a single dashboard tailored to meet every firm's particular asset care requirements.

"Demands for pharmaceutical manufacturing have never been higher. The Aizon Asset Health application helps manufacturers prevent unplanned downtime and maximize product quality and yield Aizon Asset Health taps into real-time sensor data, consolidates it, and leverages AI to generate alarms and/or actionable insights to optimize asset performance. It’s a game changer for the industry. "

-Andy Alasso, SVP Product, Aizon.


Until recently there was a clear route for success in manufacturing. The Changes in the business environment today call for a Renew New approach transform existing systems to meet current business need.


Until recently there was a clear route for success in manufacturing. The Changes in the business environment today call for a Renew New approach transform existing systems to meet current business need.

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