Role of Machine Learning in Manufacturing Sector

Abstract

This paper discusses the basic concept Machine learning and its techniques, algorithms as well the impact of Machine Learning in Manufacturing processes and Industrial Production. There has been an unprecedented increase in the data available in the last couple of decades. This has enabled machine learning to be applied in various fields. Machine learning is field of study which enables the computer system to learn automatically as well as improve from experience and perform various tasks without explicit instructions. The primary aim of machine learning is to allow the computers learn automatically without human assistance or intervention and adjust actions accordingly It is being employed in many fields. Manufacturing one area where machine learning is very useful. This paper discusses the various areas where machine learning can improve the process of manufacturing like predictive maintenance, process optimisation, quality control, scheduling of resources among others. This can be done by employing various machine learning techniques and algorithms using concepts such as deep learning, neural networks, supervised, unsupervised and reinforcement learning. The relationship of how machines and humans can co-exist and work together to improve the efficiency of production is also discussed. Industry 4.0 or fourth revolution that has occurred in manufacturing which deals with advent of automation in manufacturing industry and its significance is discussed. We take a look at the various benefits and applications of machine learning in the field of manufacturing engineering. This paper also discusses the various challenges and future scope of employing machine learning in the manufacturing

Intelligent Machine Vision Model for Defective Product Inspection Based on Machine Learning

“…The introduction of machine learning in machine vision systems for the control of defective products represents a great change for quality control in manufacturing companies, which can open up new opportunities and result in better quality control with actionable insights to constantly raise product quality [32]. Machine learning is the ability of the machines to learn by themselves [9]. The idea is to make the machine or computer capable of providing solutions to complicated problems by processing an unlimited amount of information.…”

“…Today, machine vision, which is a relevant subfield of artificial intelligence [7], allows the control of 100% of the production in processes with high cadences and especially with the integration of machine learning algorithms for image identification [8]. Moreover, machine learning can go beyond fault detection and precisely know the causes of failures by examining the data generated by the production chain in real time [9].…”

Design analysis of intelligent machinery manufacturing process

“…The relevant technologies used in intelligent mechanized manufacturing are very advanced, so resources can be fully utilized, and the cost of input can be effectively reduced. [2] Generally speaking, when assembling parts, three-dimensional simulation technology is commonly used, so that the whole process of assembly can be checked and interfered, and the possibility of waste of resources during this process will become very low. Third, it can effectively improve production efficiency, and the work that production personnel have to undertake will also be effectively reduced.…”