Aizon Asset Health helps pharmaceutical manufacturers and biotech companies optimize the performance of their equipment and other assets through intelligent, real-time monitoring and alerting
Aizon announced the launch of its new asset monitoring application for pharmaceutical manufacturers and biotech companies. Built on Aizon’s GxP compliant AI SaaS Platform, Aizon Asset Health provides intelligent historical maintenance analysis, proactively monitors the condition of critical assets in real time, identifies potential problems and provides actionable maintenance recommendations that keep equipment up and running optimally. This data-driven maintenance approach reduces maintenance costs, eliminates unplanned downtime and optimizes product yield—unlocking the full potential of Smart Pharma Manufacturing.
Recommended AI News: Hilco Merchant Resources Announces Executive Leadership Changes to Wholesale Solutions Practice
Keeping manufacturing assets in effective working order can be costly and wasteful. A schedule-based approach to maintenance often results in the unnecessary repair or replacement of equipment in acceptable working conditions or conversely results in catastrophic failure of equipment due to undiagnosed issues. This can cause production disruptions, lead to product rejection, impact time to market and compromise First Time Right, that is ensuring that any procedure is performed in the right manner the first time and every time. Using advanced analytics and multivariate analysis, together with artificial intelligence, the Aizon Asset Health application further optimizes the reduction in unplanned downtime through condition-based maintenance beyond today’s industry standard – ultimately reducing maintenance expenses while improving asset reliability and performance.
“Pharmaceutical manufacturers and biotech companies are under tremendous pressure to maximize the return on investment and to reduce unplanned downtime; however, 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,” said John Vitalie, CEO, Aizon. “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.”
Intelligent, Real-Time Asset Monitoring Across Equipment and Facilities
The Aizon Asset Health application allows pharmaceutical manufacturers and biotech companies to leverage predictive power to monitor the health of assets, and—based on the prescriptive and conditional data-driven insights that the solution provides—receive advanced warnings on their conditions. These actionable insights empower operators and maintenance teams to react and intervene in real time and keep production lines up and running. A cloud native application, Asset Health can be scaled across multiple facilities and locations and provide a historical record and status of all equipment.
Recommended AI News: CryptoFights Integrates Fabriik Weave to Manage Player Crypto Swaps
This allows pharmaceutical manufacturers and biotech companies to ensure complete asset integrity, maintain optimal facility conditions (such as temperature, humidity and vibrations), predict the expected lifespan of equipment and track the energy an asset has consumed and its CO2 emissions. These critical insights are consolidated on a single dashboard specifically customized to manage any organization’s unique asset maintenance needs.
“Demands on pharmaceutical manufacturing have never been higher, the Aizon Asset Health application helps manufacturers prevent unplanned downtime and maximize product quality and yield,” said Andy Alasso, SVP Product, Aizon. “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.”
Recommended AI News: Spaulding Ridge Expands Advanced Data and Analytics Practice with New Leadership
[To share your insights with us, please write to sghosh@martechseries.com]
Comments are closed.