Bristol-Myers Squibb
AVEVA PI System enables Bristol-Myers Squibb to detect anomalies in real time
Bristol-Myers Squibb, a leader in the discovery of innovative therapies, aimed to adopt a truly data-driven approach to optimize its manufacturing processes. Two obstacles stood in the way: batch data latency and a lack of application context, which made analyses late and hard to act on in real time. Deploying AVEVA PI System made it possible to collect, contextualize and deliver reliable, ready-to-use data through its Asset Framework and Event Frames. The company thus moved from static offline models to dynamic, continuous process monitoring, paving the way for advanced multivariate analytics. The benefits are felt on several levels: higher product quality, optimized process performance, and operators equipped with real-time fault detection capabilities to intervene before production is affected.
Testimonials
FAQ
How does AVEVA PI System help operators detect faults in real time?
At Bristol-Myers Squibb, AVEVA PI System gives operators real-time fault detection capabilities through its Asset Framework and Event Frames. The platform collects, contextualizes and delivers the reliable data needed to immediately identify deviations in equipment behavior. Operators intervene before a fault affects product quality, which is critical in pharmaceuticals, where every compromised batch represents a financial loss and a significant compliance risk.
What is Asset Framework and why is it key to real-time analysis?
AVEVA PI System's Asset Framework (AF) organizes equipment, lines and sites hierarchically, attaching attributes, metadata and calculated indicators to them. This structure turns raw data streams into contextualized information that can be used without prior knowledge of the measurement points. At Bristol-Myers Squibb, AF eliminates the contextualization latency that was holding back real-time analysis and allows multivariate analyses to rely on ready-to-use data, a standard of modern industrial data management.
How do you move from batch analysis to continuous process monitoring?
Bristol-Myers Squibb moved from static offline models to dynamic, continuous monitoring of its processes thanks to AVEVA PI System. Batch data latency, which made analyses late and hard to act on, was eliminated through real-time collection and contextualization via Event Frames. This transformation enables advanced multivariate analysis during the process and proactive control of product quality, which is essential for a leading player in the discovery of innovative treatments.
What benefits does a data-driven approach bring to pharmaceutical manufacturing?
Bristol-Myers Squibb achieved higher product quality, optimized process performance and operators equipped with real-time detection capabilities. The data-driven approach, powered by AVEVA PI System, replaces decisions based on individual experience with fact-based trade-offs. In pharmaceuticals, where GxP traceability and process control determine marketing authorization, this digital transformation is a strategic lever for competitiveness and compliance.
Why is data context as important as the data itself?
Data without context (equipment, process phase, batch, recipe) is hard to use: an operator or an algorithm cannot tell whether a measurement corresponds to a normal or abnormal state. The lack of application context was holding back real-time analysis at Bristol-Myers Squibb. AVEVA PI System, through Asset Framework and Event Frames, attaches its business context to every piece of data. This is what makes it possible to detect defects immediately and industrialize multivariate analysis at scale.