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Bristol-Myers Squibb: Using Real-Time Multivariate Analytics to Optimize Batch Processes

Challenge: Bristol-Myers Squibb, a pharmaceutical company, faces significant challenges in ensuring high-quality, cost-effective, and compliant products. Traditional methods struggle with real-time data processing and lack of contextual data.

Solution: The company deployed the AVEVA™ PI System™ to collect, contextualize, and deliver trustworthy, ready-to-consume data for multivariate analytics.

Result:

• Increased Product Quality: By leveraging real-time multivariate analytics, the company has improved product consistency and quality.
• Optimized Process Performance: Real-time fault detection and continuous monitoring have enhanced overall process efficiency.
• Empowered Operators: Operators now have access to aggregated mission-critical information, reducing operator overload and increasing process insight.

Case Study Overview:

1. Data Management Platform:

   • AVEVA PI System: Used as a data infrastructure to collect, contextualize, and prepare data for further analysis in SIMCA-online.
   • Historical Data Integration: Historical data from AVEVA PI System was used to identify batch start and end times and retrieve data formatted for SIMCA.

2. Multivariate Data Analysis (MVDA):

   • Advanced Analytical Approach: MVDA helps identify all influencing variables and underlying patterns, finding correlations between variables.
   • Reduced Variables: By focusing on fewer key signals, operators can gain better insights into the process.
   • Real-Time Insights: MVDA enables real-time monitoring and analysis, reducing the need to monitor individual trends and alarms.

3. Real-Time Contextualization:

   • Challenges: Transitioning from static offline models to dynamic real-time process monitoring required overcoming batch data latency and aligning SIMCA-online with AVEVA PI System's asset framework.
   • Solution: Utilizing AVEVA PI System's asset analytics created a real-time batch context, allowing SIMCA-online to accurately track batch progress.

4. Benefits:

   • Optimized Biologics Process: The company has already seen improvements in biologics process optimization.
   • Future Plans: Bristol-Myers Squibb plans to expand the use of multivariate modeling to other biologics process stages, new equipment, and pharmaceutical products across multiple sites.

By adopting a data-driven approach with AVEVA PI System and SIMCA, Bristol-Myers Squibb has significantly enhanced its ability to manage and optimize batch processes, leading to improved product quality and operational efficiency.