Optimizing Engineering Processes through Intelligent Systems and Automation
Keywords:
Intelligent Systems, Automation, Engineering Optimization, Artificial Intelligence, Machine Learning, Manufacturing Efficiency, Process Automation, Engineering Design, Smart Manufacturing.Abstract
The emergence of intelligent systems and automation have transformed different industries especially the area of engineering. This paper investigates the possibilities of exploiting these technologies for optimizing the engineering processes. With the use of artificial intelligence (AI), machine learning (ML) tools, and automation tools, the engineering processes can be more efficient, precise, and flexible. This study seeks to analyse how intelligent systems and automation can be implemented to get better outputs in engineering in the design, manufacturing, and maintenance stages. The approach involves the thorough review of already-existing systems, along with practical application of case studies indicating use in reality. The results show major improvement in operating performance, decrease in errors and improvement of decision-making capabilities. Lastly, the paper outlines the challenges, the expected implications and the future of the intelligent systems in the engineering processes.
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