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The affordability of computer software and hardware, along with enhanced processing capabilities, has driven widespread digital transformation and automation in manufacturing processes that utilize chemical engineers. This shift impacts both traditional sectors (like chemicals and petroleum) and emerging fields (such as microelectronics and biotechnology), fueling substantial advancements in process systems engineering. Modern process modeling and simulation now offer such precision, speed, and cost-effectiveness that they minimize the need for physical plant scaling. Design possibilities have broadened to encompass assessing numerous alternatives based on economic, safety, and environmental factors, alongside risk and dependability studies. Optimization is now standard practice for both real-time and offline scenarios. Additionally, automation and control initiatives play a pivotal role in boosting operational efficiency and managing unexpected events in industrial settings.