Przemysław Warecki, Head of IoT & Realtime Integrations Practice at C&F, contributed hands-on experience from a factory integration project to research published in the Journal of Pharmaceutical Innovation by Springer Nature.
Przemysław Warecki is a co-author of new research exploring how pharmaceutical manufacturers can build scalable infrastructure for integrating factory data across complex, globally distributed manufacturing environments, letting them break down data silos and unlock real-time factory insights
Published in Springer Nature’s Journal of Pharmaceutical Innovation, the paper, “Unified Namespace (UNS) Architecture for High-Throughput Factory Data Ingestion and Analytics”, presents the Factory Integration Layer (FIL), an event-driven platform designed to connect Information Technology (IT) and Operational Technology (OT) systems across manufacturing sites.
Warecki contributed practical expertise from his work on the FIL project, including the design and development of its architecture. Together with the paper’s other co-authors, he brought hands-on experience from the project into the research, connecting real-world implementation challenges with an architectural approach to factory data integration.
From fragmented factory data to a shared enterprise asset
Pharmaceutical manufacturing environments often combine equipment and systems spanning multiple generations, various technology stacks and multiple communication protocols. While these systems generate large volumes of valuable data, integrating that data in a consistent and scalable way can be challenging.
The paper explores how the Factory Integration Layer addresses these challenges through a hybrid edge-cloud architecture and Unified Namespace (UNS). The approach uses event-driven, publish-subscribe technologies such as MQTT and Kafka to decouple data producers and consumers while supporting asynchronous communication across the manufacturing environment.
The architecture combines real-time data contextualization at the edge with persistent event storage in the cloud and a centralized control plane. This allows manufacturing sites to maintain a degree of local autonomy while supporting centralized governance and scalability across a global footprint.
“The project gave us an opportunity to work with the challenges of integrating data from very different factory systems at scale. Bringing that practical experience into the research allowed us to look at the architecture not only as a technical concept, but through the realities of implementation.”
Przemysław Warecki, Head of IoT & Realtime Integrations Practice at C&F
The research also addresses semantic interoperability, cybersecurity, governance and resilience. By contextualizing and validating data closer to where it is generated, while maintaining persistent storage and centralized controls, the architecture is designed to support failover, disaster recovery and horizontal scalability.
Ultimately, the paper presents factory data as a potential shared enterprise asset rather than a collection of isolated system outputs. With governed access and standardized data organization, the resulting infrastructure can provide a foundation for analytics and AI applications across distributed manufacturing operations.
Building the foundations for analytics and AI
For pharmaceutical manufacturers, the ability to use AI and advanced analytics increasingly depends on the quality and accessibility of the data underneath those applications. Integrating factory data across sites, systems and generations of equipment is therefore an important part of creating that foundation.
“I’m proud that this solution was brought to life by Przemek and the team. From the start, he saw Unified Namespace as a way to connect manufacturing, data and analytics, and ultimately create a stronger foundation for AI. The team took the idea beyond the realm of architecture, implementing it in a real-world production environment. For manufacturers, particularly in the pharmaceutical industry, this is an important step toward more connected, data-driven operations. The solution demonstrates how UNS can provide the scalability and structure needed for modern analytics and build a foundation for value-driven AI implementations.”
Tomasz Młodecki, CEO, C&F
Warecki’s contribution to the publication reflects C&F’s broader work at the intersection of data, technology and pharmaceutical manufacturing. The company works with life sciences and consumer goods organizations on data foundations, integration and technology solutions designed to help turn complex data environments into usable foundations for better decisions.
The full paper, “Unified Namespace (UNS) Architecture for High-Throughput Factory Data Ingestion and Analytics”, is available in the Journal of Pharmaceutical Innovation, published by Springer Nature.