The role of Industry 4.0 in the textile industry improves its efficiency over operational and management layers. This includes automation of field sensors, scheduling of operating machines, automated assembly, and production lining. The automated device configuration and machine organization are facilitated using different smart controllers and machine learning algorithms. Therefore, the growth of textile industrial automation combines smart hardware and intelligent algorithms to maximize operational and production efficiency. This article presents a detailed survey of different learning algorithms and information technology incorporations in the textile industry. The impacting factors based on investment, production quality, and governance support are discussed through graphical representations and deep discussions. Therefore, this article considers the real-time data collected from the Coimbatore, Tirupur, and Erode regions of Tamil Nadu, South India. As these cities are considered hubs for textile processing and garment manufacturing, the data collected is prominent for analysis and discussion. Based on the discussion, the conclusion regarding the need for textile automation and the incorporation of Industry 4.0 is given.
Karthikeyan et al. (Mon,) studied this question.