Per Simio Software, Robotic Process Automation (RPA), aka software robots, automates routine rule-based processes using configured script and AI/machine learning. RPA market revenue is expected to triple from $3B now to $10B in 2023 per Statista.
Manufacturers will benefit. Production scheduling can move from manual to automated using scheduling bots to capture operational data within a modeled environment/digital twin and analyze data to optimize schedules. RPA can be used in a simulation model to evaluate benefits/returns of automating specific processes. Producers can also automate capture and analysis of machine utilization data to determine when maintenance is needed, order spare parts and notify for needed maintenance tasks.
MOSIMTEC simulation modeling can help manufacturers leverage/evaluate RPA . This can help improve bottleneck management, staff deployment on the shop floor and customer service metrics, also cut time spent on repetitive manual labor, speed up go-to-market processes for new products, delegate less important tasks to RPA bots so workers can focus on higher value tasks, and improve decision making through enhanced data analytics and data-driven insights. MOSIMTEC industrial engineers and data scientists can help.
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