Streamline Your Document Workflows with Sales Content Automation for Pharmaceutical

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[Music] welcome to take five with automation world i'm david greenfield director of content and in this episode we'll be looking at real-world applications of artificial intelligence and industry specifically the pharmaceutical industry to better understand how this technology can be applied to improve industrial production operations now for most users of industrial automation technologies artificial intelligence is not something you'll directly interact with instead it's used inside various systems to process data at a scale speed granularity and preciseness that can't really be matched by humans and that's why the application of artificial intelligence is starting to have a significant impact on automation technologies used across industry most notably with machine vision and analytics and some of the more impactful applications of artificial intelligence are happening in the pharmaceutical industries and that shouldn't be too surprising that the pharmaceutical industries are looking to optimize production with artificial intelligence considering that single batch values for some drugs can exceed three million dollars now two areas of artificial intelligence applications focused on by pharmaceutical companies include asset performance management using advanced analytics to create manufacturing efficiencies and predictive maintenance systems to analyze failure patterns and provide anomaly alerts and advanced warning of pending equipment failures richard porter the global director of pharmaceuticals at aspen tech a supplier of industrial software technologies says that opportunities to reduce manufacturing costs exist across all stages of a product life cycle and advanced analytics can reveal those opportunities allowing companies to take informed actions to save money now whether using multivariate analytics to identify process degradation and its impact on quality or predicting final product quality to reduce lab testing lag times these techniques offer pharmaceutical companies a competitive advantage and porter also noted that multivariate analytics software can be applied to existing data sources in pharmaceutical manufacturing facilities not just to the batches and process and that's used to analyze and continually monitor how discrepancies and material properties variations and procedures and process anomalies such as sensor drift and changing environmental conditions can impact the final product he said these tools can help identify and troubleshoot process and product quality issues increase yields and reduce off spec product specific types of equipment that artificial intelligence driven predictive maintenance systems in the pharma industry have been proven to effectively protect include primary equipment such as air and centrifugal compressors boilers pumps and water purification systems artificial intelligence can also be applied to secondary production and packaging equipment such as autoclaves bead mills centrifuges chillers conveyors granulators fluid bed and plate dryers roller and tablet presses and spray heads and porter said one pharmaceutical company that aspen tech worked with was having to replace the mechanical seal and its bead mill every eight batches to prevent batch loss at a cost of twenty five thousand dollars per replacement by adopting aspen tech's intel software which uses artificial intelligence to recognize patterns that can lead to equipment failures the company was able to reduce supply chain disruptions from seal replacements and cut life cycle maintenance costs by 60 percent in addition the company reduced capital expenditures and associated life cycle maintenance costs by 50 percent yet another pharmaceutical application porter cited revolves around failures of a purified water system at a pharmaceutical company these failures shut down entire sections of the plant for as long as a week resulting in the loss of up to 15 batches and again using aspen tech's intel software to predict pending breakdowns provided the company with 35 days advance warning of a deionizer failure which allowed staff time to schedule maintenance and prevent production losses now you can see more information about the application of artificial intelligence driven analytics in the pharma industry at the url shown here and looking beyond the pharma industry if you're interested in how artificial intelligence is being applied in supply chain workforce training and quality control and manufacturing in general check out an earlier take 5 episode with automation world via the url shown here so i hope you enjoyed this take 5 with automation world episode and please keep watching this space for new episodes to keep you on top of what's happening in the world of industrial automation