CRL 1-hr: 9/26 Introduction to Uptime Elements Reliability Framework and Asset Management System

Aizon Launches Predictive Maintenance Solution for Pharmaceutical Manufacturing

SAN FRANCISCO – (January 24, 2022) – Aizon announced today 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.

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.

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.”

Aizon Asset Health is generally available now globally.

Upcoming Events

August 8 - August 10, 2023

Maximo World 2023

View all Events
80% of newsletter subscribers report finding something used to improve their jobs on a regular basis.
Subscribers get exclusive content. Just released...MRO Best Practices Special Report - a $399 value!
Uptime Elements Root Cause Analysis

Root Cause Analysis is a problem solving method. Professionals who are competent in Root Cause Analysis for problem solving are in high demand.

Reliability Risk Meter

The asset is not concerned with the management decision. The asset responds to physics

Why Reliability Leadership?

If you do not manage reliability culture, it manages you, and you may not even be aware of the extent to which this is happening!

Asset Condition Management versus Asset Health Index

Confusion abounds in language. Have you thought through the constraints of using the language of Asset Health?

Seven Chakras of Asset Management by Terrence O'Hanlon

The seven major asset management chakras run cross-functionally from the specification and design of assets through the asset lifecycle to the decommissioning and disposal of the asset connected through technology

Reliability Leader Fluid Cleanliness Pledge

Fluid Cleanliness is a Reliability Achievement Strategy as well as an asset life extension strategy

MaximoWorld 2022 Conference Austin Texas

Connect with leading maintenance professionals, reliability leaders and asset managers from the world's best-run companies who are driving digital reinvention.

“Steel-ing” Reliability in Alabama

A joint venture between two of the world’s largest steel companies inspired innovative approaches to maintenance reliability that incorporate the tools, technology and techniques of today. This article takes you on their journey.

Three Things You Need to Know About Capital Project Prioritization

“Why do you think these two projects rank so much higher in this method than the first method?” the facilitator asked the director of reliability.

What Is Industrial Maintenance as a Service?

Industrial maintenance as a service (#imaas) transfers the digital and/or manual management of maintenance and industrial operations from machine users to machine manufacturers (OEMs), while improving it considerably.