Progressive Study and Investigation of Machine Learning Techniques to Enhance the Efficiency and Effectiveness of Industry 4.0

Progressive Study and Investigation of Machine Learning Techniques to Enhance the Efficiency and Effectiveness of Industry 4.0

Kaljot Sharma, Darpan Anand, K. K. Mishra, Sandeep Harit
DOI: 10.4018/IJSSCI.300365
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Abstract

The goal of this article is to assess the most recent work on Industry 4.0 as well as the present state of science on Industry 4.0 through papers produced between January 2017 and March 2020.A systematic review process with a 5-step approach to article selection was employed, which included the following steps: 1) Selection of database 2) Research of keyword 3) Collection of articles 4) Inclusion/Exclusion criteria 5) Examining Selected Articles. It is noticed that much of the research is philosophical or case-based in character. The prospective study direction described in this paper may be useful to researchers interested in the field of industry 4.0 for research. The paper's future study directions must undoubtedly be beneficial to researchers.
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1. Introduction

The implementation of Artificial intelligence to Fourth industrial revolution represents a substantial transformation for manufacturing businesses, opening up new market opportunities and resulting in benefits such as improved performance, among other things. Cost savings by automated maintenance leading to less maintenance operation, which means decreased labour expenses, less inventory and loss of materials, Improved quality management and actionable knowledge to consistently increase product quality, enhanced human-machine communication while enhancing the wellbeing of workers and boosting overall performance also consumer-focused production –to be able to adapt rapidly to shifts in market demand and Enhanced supply chain control by effective inventory management and well-monitored and coordinated output flow. The very first industrial age occurred in the late 17th century and also in the 18th century. During that time frame, production has developed from being dependent on human-made labour and assisted by companion animals towards a more optimisation able to work method initiated by working people using water and steam-powered machinery and some other machine tools. Throughout the earliest 1920s, with the discovery of metal, the world started a second industrial age. As a method of boosting efficiency, mass production techniques such as assembly lines were created throughout that time period. In the early 1950s, companies started to integrate more automated, and subsequently computer—technology, into their processes, ushering in the third industrial revolution. Industries began to transition away from analogue or mechanical components and toward intelligent networking and automation technologies about this period. The fourth industrial revolution, known as Business4.0, has happened in recent years. Industry 4.0 has focused on online technology across a whole different level in recent years, with the benefits of interconnectivity via Internet of things (IoT), access to sound data, and the development of cyber-physical frameworks. Industry 4.0 proposes a more comprehensive, interconnected, and all-encompassing development paradigm. It integrates both physically and electronically and enables increased connection. Access is available to departments, partners, dealers, commodities, and people. Industry 4.0 enables market executives to accurately supervise and comprehend all aspects of their operations, providing them complete management Departments, partners, dealers, commodities, and individuals can all gain access. Industry 4.0 enables market executives to correctly control and appreciate all element of their operations, allowing them to employ total control to improve performance, boost competitiveness, and drive growth. The Fourth Industrial Innovation in Manufacturing, that's true. Industry 4.0 brings a brand-new solution to the sector that can work with advanced technologies to achieve optimal productivity with reduced resource usage in engineering. Industry 4.0 is a German project merging manufacturing and cyber security (Kemble et al., 2018). Smart Factory is another term for I4.0, an attempt to encourage dynamic production in the recent past. The new innovation of information and communication technology (ICT) has allowed the development of Industry 4.0. Innovations and technological advances in Business 4.0 will deliver a viable selection of solutions to the increasing needs of industries. The idea including its “Fourth Industrial Revolution” which then first sounded the best, it is essential to know that there have been a variety of challenges, risks and difficulties to its implementation. Defining appropriate technology and practices, improving digital protection and training workers are among the problems that need to be tackled on the journey to Business 4.0. (Hofmann & Rosch, 2017). It is therefore important to recognize the current state of research and the potential prospects for future research in this field of Industry 4.0. This study attempts to concentrate on the most current material released between January 2017 and March 2020.This study reviews a total of 20 papers published in various journals. The following is a breakdown of the paper's structure. A comprehensive review is presented in tabular form. The technique for selecting articles is described in the next section. Section 3 contains a discussion of the literature. The last remark is offered in the fourth part of this work.

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