A Roadmap for Enabling Industry 4.0 by Artificial Intelligence

11Potential, Scope, and Challenges of Industry 4.0

Roshan Raman* and Aayush Kumar

Department of Mechanical Engineering, The NorthCap University, Gurugram, India

Abstract

Industry 4.0 is a prototypical idea of transforming the current manufacturing modus operandi into a much smarter, efficient, effective, and safer chain with the fusion of artificial intelligence, big data analysis, Internet of Things, and other advanced computing technologies in the human-machine interface. Industry 4.0 provides us with several opportunities to take the manufacturing standards to a higher level. For instance, big data analysis with its three dimensions, velocity, variety, and volume, can help us in forecasting manufacturing problems by the historical data of the manufacturing process, and it even provides appropriate solutions to prevent the problem from occurring and dealing with it if it does. Another example of embeddable technology is the Internet of Things, which involves varied sensors collecting data with three major features, context, omnipresence, and optimization. Context refers to the advancing of object-environment interaction, omnipresence provides us with the information of the environmental state of an object, and optimization refers to the improvements in the connection of operators in the network of human-machine interface. Though these technologies improve the industries a ton, there are still challenges in the execution of these ideas. Challenges, such as cyber threats, investment ...