Improving production efficiency using machine learning algorithms in industrial automation systems (case study)

Hosein Akbarnejad Demouchali¹ Iman Sohrabi Moghadam Chafjiri²

1) Bachelor student of Mechanical Engineering, Islamic Azad University, Lahijan Branch - Iran
2) PhD student of Electrical and Electronic Engineering, Islamic Azad University, Lahijan branch

IOI Code : XKBA-AZFBHB
Publication : 3rd International Conference on Recent Advances in Engineering, Innovation and Technology - Belgium(eitconf.com/3rd)
Abstract :
    This article deals with the issue of improving productivity in manufacturing industries using machine learning algorithms in industrial automation systems. Manufacturing industries are always looking to improve performance, increase productivity and reduce resource wastage, and the use of new technologies can help them a lot in this regard. Machine learning algorithms, as one of these technologies, can make important improvements in the performance and productivity of these systems by using the data in industrial automation systems. In this article, the importance of productivity in manufacturing industries is discussed first, and then machine learning algorithms such as regression, decision tree, neural networks and reinforcement learning are introduced and explained. Then, the various applications of these algorithms in improving the performance and productivity of industrial automation systems are examined. These applications include repair prediction, process optimization, intelligent decision making and resource productivity control, and also, the advantages and challenges of using machine learning algorithms in industrial automation systems are comprehensively discussed. At the end, the future perspective of the subject is addressed and the results and suggestions related to productivity in industrial automation systems using machine learning algorithms are presented. This article is suitable for experts, researchers and business owners who are interested in improving performance and productivity in manufacturing industries and can help them understand and exploit new technologies in this field.

Keywords : productivity industrial automation machine learning industry artificial intelligence