Ravi believes that while companies are making significant strides in upgrading their infrastructure, there remains a shortage of technical and domain talent.
Ravi Kiran Koppichetti
The pharma industry is facing a multitude of challenging trends. With increasing regulatory requirements and the need for real-time insights, data plays a crucial role in ensuring smooth operations while maintaining compliance. Rising global demand is still a significant challenge for the industry in the long-term,where efficiency and compliance are two critical pillars that determine the success of manufacturing operations.
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Ravi Kiran Koppichetti, a veteran data expert in pharmaceutical manufacturing, has been at the forefront of driving these innovations, integrating advanced data solutions to outline processes, enhance operational efficiency, and maintain regulatory compliance.
Driving Data-Backed Operational Excellence
With extensive experience in managing the data needs of two drug manufacturing units, eight departments, and over 400 employees, this professional has established himself as a key contributor in the pharmaceutical data ecosystem. As a Senior Member of the International Society of Automation (ISA) and a certified expert in Power BI and the Ignition tool by Inductive Automation, he has been instrumental in transforming raw operational data into actionable insights that drive business decisions.
A major aspect of his contributions has been the development of Deviation Actions and Deviations Tracker Dashboards, which are used daily across all departments within the production facility. These dashboards provide real-time insights into operational issues, enabling teams to resolve deviations efficiently, ensuring uninterrupted production and shipping. By bringing in cross-functional collaboration and facilitating sessions with Subject Matter Experts (SMEs), he has strengthened issue-resolution mechanisms across departments.
This expert has been at the helm of integrating industrial system automation into pharma manufacturing. His projects include integrating purification and regulation devices with a cloud database, leveraging industrial system integration software for seamless data collection, storage, and analysis. He has also implemented Process Analytical Technology (PAT) as a Proof of Concept (PoC) to measure and control processes in real time based on Critical Quality Attributes (CQAs). Additionally, he has developed real-time monitoring models for crucial manufacturing areas, including Buffer/Media Preparation, Cultivation, and Purification.
These models have been synchronized with departments such as Metrology, Maintenance, and Cleaning, ensuring seamless coordination across functions. Another key contribution has been automating periodic file transfers between production and corporate environments, reducing manual effort and ensuring data consistency.
Overcoming Compliance Challenges with Digital Twin Environments
Pharmaceutical manufacturing operates under stringent compliance regulations, making it challenging to implement new technological solutions. Ravi tackled this challenge by creating a Digital Twin environmentan IT setup replicating the production environment. This innovative approach allowed his team to extensively test new solutions, ensure compliance, and generate necessary quality control documentation before full-scale deployment.
“Ensuring data integrity and regulatory compliance through advanced digital solutions is not just about efficiency-it is about the future of pharmaceutical manufacturing.”stated Koppichetti.
The Future of Pharma: AI, Machine Learning, and Upskilling
Ravi believes that while companies are making significant strides in upgrading their infrastructure, there remains a shortage of technical and domain talent. He advocates for upskilling initiatives within organizations to bridge this talent gap, ensuring that businesses can fully harness the potential of emerging technologies. Through his leading work in pharma manufacturing, Ravi Kiran Koppichetti continues to redefine efficiency, compliance, and automation, enabling pharmaceutical companies to scale operations while sticking to the highest regulatory standards. His data-driven innovations set the stage for the future of smart pharmaceutical manufacturing.
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