Data-driven innovation for smarter processes

Advances in sensor technology — from simple flow meters and analytical technologies to near-infrared spectrometers and digital cameras — have transformed industrial operations. Measurements that once took time and resources can now be captured continuously and at low cost, generating massive amounts of data (“big data”) in real time. This data revolution has accelerated the use of data-driven models in manufacturing. Among these, machine learning and multivariate statistical techniques stand out for their ability to turn complex data — whether real-time or historical — into clear, actionable insights on process performance and product quality. At CAPE-Lab, we help companies unlock the full potential of their process data. Our research focuses on using advanced analytics to support critical engineering and production activities, including:

• Designing and optimizing products and processes
• Understanding and troubleshooting process operations
• Monitoring process and product quality in real time
• Improving process control and efficiency
• Formulating new products, and protecting products from fraud and counterfeiting

Using statistical process control and data-driven modeling, we identify and anticipate process deviations before they lead to failures, diagnose their root causes, and ensure consistent, high-quality output. This approach translates into fewer production interruptions, reduced waste, and more reliable product performance. Our methods also streamline product and process transfer across different scales, plants, or sites, ensuring smoother scale-up and technology transfer. The result is shorter development cycles, lower costs, and faster time-to-market for new products. Finally, we apply these data-driven tools to build next-generation Process Analytical Technologies (PAT) and implement Quality-by-Design principles in pharmaceutical and process industries. These frameworks help companies embed quality and efficiency directly into their manufacturing systems — turning data into a true competitive advantage.