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Robotics and Automation in Pharma Manufacturing Discover how robotics, RPA & IPA are driving efficiency, quality, and safety in pharma manufacturing. Overview of Robotics, RPA, and IPA 1 3 Robotics 2 RPA The design, Robotic process manufacture, and automation is the use deployment of rob...

Robotics and Automation in Pharma Manufacturing Discover how robotics, RPA & IPA are driving efficiency, quality, and safety in pharma manufacturing. Overview of Robotics, RPA, and IPA 1 3 Robotics 2 RPA The design, Robotic process manufacture, and automation is the use deployment of robot of software robots to systems that can streamline business perform tasks processes and reduce autonomously or under manual work. human IPA supervision. Intelligent process automation combines robotic process automation with artificial intelligence to automate complex tasks that require cognitive skills. Why Robotics and Automation are Critical in Pharma Manufacturing Pharmaceutical manufacturing requires precision, adherence to strict regulatory requirements, safety, and efficiency. Robotics and automation can deliver on all these requirements while boosting productivity and reducing costs. Advantages of RPA and IPA Solutions in Pharma Sector Higher Quality Increase Productivity Speed Up Production Increase Safety Higher quality products through Increased productivity by automating Faster production cycles that can Improved safety in the workplace by consistent processes, free of human repetitive, manual tasks, freeing up accommodate fluctuating demand reducing the manual handling of error. personnel to focus on more complex, while reducing costs. hazardous materials. value-adding tasks. Applications of Robotics, RPA, and IPA in Pharma Manufacturing Material Handling Robotics and automation can handle the transport of raw materials from the warehouse to the production line and the packaging of finished goods. Inspection and Testing Data Processing RPA bots can inspect and test IPA can automate the products for defects or quality processing of data from clinical issues, ensuring that all trials, speed up the analysis to products adhere to strict improve trial outcomes. industry regulations. Customer Service RPA bots can handle customer inquiries regarding products and provide personalized recommendations and support. How Robotic and Automation Solutions Helped Pharma Firms in the Past 1990s-2000s Pharmaceutical firms adopted automation for inspection and testing processes, reducing errors and enhancing quality. 1 2 3 1970s-1980s 2010s-Present Robotic solutions used for manufacturing Advancements in RPA and IPA in the pharma processes and material handling tasks. sector improve production, time-to-market, and regulatory compliance. Future of Robotics, RPA, and IPA in Pharma Manufacturing More Automation in Research & Development Personalized Medicine Powered by Robotics RPA and IPA will play an increasingly Robotics, RPA, and IPA will enable the throughout the value chain, from supply important role in research and manufacture of personalized medicines chain management to customer service. development, helping to accelerate drug and the delivery of personalized discovery, pre-clinical and clinical healthcare. development. Beyond Manufacturing RPA and IPA will extend automation Challenges Encountered During Implementation of Robotics and Automation Solutions in Pharma Sector 1 Costs 2 Automation projects require Integration with Legacy Systems 3 Regulatory Compliance Pharmaceutical manufacturing significant capital investment Integrating new systems with must adhere to strict and change management. existing infrastructure can regulations, and automation cause complexity. should not compromise on quality and safety. 4 Training and Knowledge Transfer Pharmaceutical firms require personnel with technical know-how to manage automation projects. Real-world Examples of Robotics, RPA, and IPA in Pharma Manufacturing Robotic Inspection for Quality Assurance RPA automation for Manufacturing Operations IPA Solution for Clinical Trial Reporting inspection process for Pfizer's Novo Nordisk, a Danish IPA to optimize workflows in Depo Pharm and decreased the pharmaceutical company clinical trials reporting, reducing process' time for they used to automates manufacturing process time by half and have only a 50% inspection rate operations with RPA, saving improving database accuracy. whereas after implementing 50,000 hours of manual work robotics, they were able to ramp and reducing the time to up to 100% inspection rate. produce protein tablets from six Robotic inspections improved the weeks to three days. A top biotechnology firm uses Case Studies – Manufacturing Delivering an industry first RPA solution for AstraZeneca • Around the world, AstraZeneca Patient Safety teams manage around 100,000 Adverse Event (AE) reports relating to their medicines every year. • AstraZeneca wanted to deliver a step-change in productivity that would enable it to manage current and future workloads without adding to its costbase, compromising quality, or jeopardizing compliance. • In 2016, AstraZeneca’s AE follow-up process was largely manual, in common with the pharmaceutical industry as a whole, with patient-safety teams completing paperwork and following up on reports with letters and emails to patients and physicians. • AstraZeneca recognized the potential of RPA and partnered with Deloitte to develop a solution to share with the industry and set a precedent for this critical area. • The solution has improved job-satisfaction for AstraZeneca patient safety teams, and is believed to improve response rates from healthcare Case Studies – Global Operations Compliance obligation of individual case safety reports • Life sciences companies have many regulatory responsibilities, including the obligation to document and maintain consumer feedback on the safety and efficacy of their products. • At this life sciences company, that obligation was increasing exponentially, with the volume of individual case safety reports (ICSRs) doubling year over year. • The immediate goal of the project was to replace and automate repetitive manual activities with a zero-touch robotic process automation (RPA) solution for the processing of ICSRs submitted by consumers and monitored by pharmaceutical industry regulators. • The RPA solution was completed and went live in just seven months. New automation efforts are in development to incorporate areas where more complex processing is needed, along with certain cognitive elements, including artificial IoT in Pharma Manufacturing IoT (Internet of Things) offers many possibilities for pharmaceutical manufacturing. This presentation will explore the various IoT applications in this field. What is IoT and IoT Analytics? IoT IoT Analytics Benefits IoT is the interconnection of IoT analytics refers to the use of IoT and IoT analytics can help physical devices such as data analysis tools and pharmaceutical manufacturers sensors and machines for the techniques to extract insights optimize processes, reduce purpose of collecting and from the vast amounts of data waste, and ensure quality. analyzing data. generated by IoT devices. Overview of IoT in Pharma Manufacturing Automated Assembly Lines Smart Packaging Pharmacy Logistics Quality Control IoT enabled sensors and devices can IoT can provide real-time monitoring of IoT enabled drones, automated vehicles IoT can help improve quality control by monitor production, quality, and verify drugs during storage and and smart warehouses can streamline monitoring the production environment compliance during manufacturing. transportation, ensuring quality and logistics operations. and detecting potential contamination authenticity earlier. Benefits of IoT in Pharma Manufacturing 1 Increased Efficiency 2 Improved Quality Ideal dosage, reduced waste and Better contamination control, automated compliance improved visibility and traceability of supply chains 3 Regulatory Compliance 4 Cost Savings Automated Compliance reporting Reduced waste, improved inventory and improved visibility into the management and optimized manufacturing process can help manufacturing can lower costs ensure regulatory compliance Real-world examples of IoT in Pharma Manufacturing Quality Control An injectable drug manufacturer successfully implemented a quality control system using IoT to reduce product recalls. 1 2 3 Safety First Streamlining Processes A major pharmaceutical company started using A biosimilars manufacturer implemented an IoT- sensors to monitor the safety of lab equipment and enabled solution to automate compliance reduce accidents. monitoring of the production environment and reduce errors. Challenges in implementing IoT in Pharma Manufacturing Regulatory Compliance Security and Privacy Cost and Complexity The highly regulated Pharmaceutical manufacturers The early-stage implementation environment of the pharma need to be careful when of IoT technologies can be industry presents significant deploying IoT devices that they costly and complex, requiring challenges in creating IoT- do not create new security significant investment in both enabled solutions. vulnerabilities or expose planning and infrastructure. sensitive data. Key considerations for adopting IoT in Pharma Manufacturing Collaboration Across Teams Data Analytics Capabilities Technology Investment The deployment of IoT in pharma Pharma manufacturers need to have Pharmaceutical manufacturers that manufacturing affects a range of the necessary data analytics capabilities want to adopt IoT solutions need to stakeholders and requires collaboration to derive insights from the large invest in the necessary technology across teams including IT, operations, volumes of data generated by IoT- infrastructure and training to support and quality control. enabled devices. these technologies. Security and Regulatory Compliance in IoT for Pharma Manufacturing Regulations The FDA and other regulatory bodies have specific requirements for IoT systems deployed in pharmaceutical manufacturing environments. Secure Access IoT devices should be configured with secure access protocols and regularly reviewed due to the sensitivity of the information being transmitted and stored. Threat Detection IoT devices and data should be monitored to identify potential threats to the security and integrity of the manufacturing process. Future of IoT in Pharma Manufacturing 1 Advanced Analytics Capabilities IoT is one step towards Machine Learning Real-time Manufacturing Monitoring 2 applications for Predictive Maintenance and quality assurance. The connection of all data and devices on a central platform will provide greater visibility into the manufacturing process in real-time, allowing for greater efficiency and quality control. 3 Improved Supply Chain Management Iot technologies will allow manufacturers to better track products, reduce inventory, increase traceability and manage regulatory compliance across an increasingly complex and global supply chain.