DRL MCQ 7.pptx

Digital Twin in Pharma Manufacturing A digital twin is a virtual replica of a physical system that can be used to simulate, predict, and optimize real-world processes. In pharma manufacturing, digital twins can help optimize the production process and improve quality by providing a real-time visual...

Digital Twin in Pharma Manufacturing A digital twin is a virtual replica of a physical system that can be used to simulate, predict, and optimize real-world processes. In pharma manufacturing, digital twins can help optimize the production process and improve quality by providing a real-time visualization of the process. Why Digital Twin is Important in Pharma Manufacturing 1 Reduce production costs2 Enhanced product quality 3 Digital twin technology Digital twins are used to enables tracking and detect anomalies and prevent With real-time condition optimizing of processes, errors in the production cycle monitoring, manufacturers which leads to better which ultimately leads to the can identify inefficiencies and resource management and, improved product quality. address them before they Improved production efficiency in turn, reduced production become bottlenecks, leading costs. to improved production efficiency. German manufacturer Bausch + Ströbel plans to make engineering at least 30% more efficient by 2020 (source: Siemens). Digital representation of a chemical API process Benefits of Using Digital Twin in Pharma Manufacturing Enhanced Process Control Reduced Time to Market Better Collaboration Digital twins can predict the Digital twins are a shared platform Digital Twin provides real-time process performance beforehand that is accessible by everyone insights that help to monitor the thus streamline the production involved in the manufacturing process and predict deviations. pipeline. This ensures that the process. This promotes This promotes decision-making product reaches the market in a collaboration among cross- and helps in achieving greater timely manner, improving the ROI. functional teams which helps to control over the process. improve the quality and accuracy of the product. Implementation Challenges of Digital Twin in Pharma Manufacturing 1 Integration Complexity 3 Privacy and Security Digital Twins are data-driven This is a concern when Digital Digital Twins gather data by and hence require high- Twin technologies are connecting multiple systems quality data that is accurate introduced into existing together, This may increase and reliable to improve facilities. It may require the vulnerability to cyber threats. quality control. Poor data systems to be rebuilt from Regulatory policies need to quality leads to suboptimal scratch which may disrupt be followed to safeguard the decision-making strategy. the ongoing operations. security and privacy of the Data Quality 2 information. Real-Life Examples of Digital Twin in Pharma Manufacturin Vaccine Manufacturing Medical Tablet Production Manufacturing Operations Monitoring Digital twins provide manufacturers with Digital twins are used to monitor the process Digital twins can capture the performance of insights into the performance of individual flow, detect deviations, and predict process the manufacturing process in real-time, systems, which, when combined, provide a performance. This leads to a reduction in predict the behavior of machines and the holistic view of the supply chain. This helps to scrapped products and, in turn, improved manufacturing process. Based on this diagnose and correct anomalies in real-time. quality. analysis, steps can be taken to optimize the process leading to higher benefits, reduced costs, and improved efficiency. Future of Digital Twin in Pharma Manufacturin Innovations in Process Technology IoT-based Solutions Collaborative Partnerships The Internet of Things (IoT) is Companies in the pharma As the pharma industry growing in popularity across industry can leverage expands, new process many industries, and the partnerships with Big Tech technology is being introduced pharma industry is no corporations to develop digital which would leverage digital exception. Manufacturers are twins that extend from R&D to twins to better control and exploring ways of combining IoT the manufacturing process, optimize the manufacturing technology with digital twins to improving the quality and speed process by detecting anomalies improve performance, reduce of product development. quickly. costs and ensures a streamlined production pipeline. Conclusion and Key Takeaways 1 2 3 Summary Key Takeaways The Way Forward Digital Twins have the potential • There is a huge scope for Digital Twins improve to provide significant value in efficiency, enhance Pharma companies to leverage the pharma industry, creating a product quality and digital twin technology to virtual replica of the production reduce production costs. improve the productivity, The implementation process sustain their competitive floor. • requires high-quality data, advantage, and ensure success integration complexity, and privacy issues to be addressed. • Examples of digital twin implementation include medical tablet production, vaccine manufacturing, and monitoring of in the market.