Significant Applications of Big Data in Industry 4.0
04 Mar 2021-Vol. 06, Iss: 04, pp 429-447
TL;DR: Big data is the key to gain a competitive leap by reconnoitring the fundamental issues like deviations during the process, quality discriminations, and energy efficiency squander in a manufacturing process.
Abstract: Industry 40 is being implemented with the help of advanced technologies Big data, Artificial Intelligence (AI), Robotics, Internet of Things (IoT), Cloud computing, and 3D printing are the major
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TL;DR: This paper aims to provide a survey-based tutorial on potential applications and supporting technologies of Industry 5.0 from the perspective of different industry practitioners and researchers.
314 citations
TL;DR: This paper aims to review many such characteristics, enablers, and main drivers of the Industry 4.0 paradigm and ultimately provides insight on the future scopes of each of the main pillars of Industry 5.0.
43 citations
31 citations
TL;DR: In this article, the authors present a systematic review of the scope of Industry 4.0, its goals and implementations, as well as the barriers to the implementation of Industry 5.0.
Abstract: Triggered by the development of information and communications technologies, Industry 4.0 opens up a new era for the manufacturing industry.Currently, Industry 4.0 has attracted much attention from industry and academia. Research on Industry 4.0 is still evolving towards the development of frameworks linking Industry 4.0’s enabling technologies to specific goals and to their impact on the manufacturers’ businesses.Accordingly, this study presents a systematic review of the scope of Industry 4.0, its goals and implementations, as well as the barriers to the implementation of Industry 4.0. Solutions for overcoming the barriers and challenges are discussed.
31 citations
TL;DR: Agriculture 4.0 represents the fourth agriculture revolution that uses digital technologies and moves toward a smarter, more efficient, environmentally responsible agriculture sector as discussed by the authors , which encompasses all digitalisation and automation processes in business and our daily lives, including Big Data, Artificial Intelligence (AI), robots, the Internet of Things (IoT), and virtual and augmented reality.
Abstract: Agriculture 4.0 represents the fourth agriculture revolution that uses digital technologies and moves toward a smarter, more efficient, environmentally responsible agriculture sector. Agricultural technologies have emerged to enhance sustainability and discover more effective farm methods. This encompasses all digitalisation and automation processes in business and our daily lives, including Big Data, Artificial Intelligence (AI), robots, the Internet of Things (IoT), and virtual and augmented reality. These technological advancements are having a profound impact on our lives. From a technical standpoint, it brings us to precision agriculture. This provides a data-driven strategy for efficiently growing and maintaining crops on cultivable land, enabling farmers to use most of the resources at their disposal. Throughout the supply chain, daily operations create massive volumes of data. Most of this information was previously untouched, but with the help of big data technologies, such information can be used to improve the performance and production of any crop. Depending on the crop type and its growth needs, digitised harvesters can help handle huge areas in various situations, particularly agriculture. This paper is brief about Agriculture 4.0 and its condition. Smart farming, Various key technologies and specific domains for the Exploring Agriculture 4.0 Domain are discussed in detail and, finally, identified and discussed significant applications of Agriculture 4.0 technologies. These technologies are essential to our lives since they simplify our daily duties without recognising them. In Agriculture 4.0 systems, fleets of digitised equipment employ current infrastructures like cloud computing to connect, identify the processing condition of different regions and the requirement for input materials and coordinate the machinery.
31 citations
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TL;DR: This review paper summarizes the current state-of-the-art IoT in industries systematically and identifies research trends and challenges.
Abstract: Internet of Things (IoT) has provided a promising opportunity to build powerful industrial systems and applications by leveraging the growing ubiquity of radio-frequency identification (RFID), and wireless, mobile, and sensor devices. A wide range of industrial IoT applications have been developed and deployed in recent years. In an effort to understand the development of IoT in industries, this paper reviews the current research of IoT, key enabling technologies, major IoT applications in industries, and identifies research trends and challenges. A main contribution of this review paper is that it summarizes the current state-of-the-art IoT in industries systematically.
4,145 citations
TL;DR: A unified 5-level architecture is proposed as a guideline for implementation of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space.
Abstract: Recent advances in manufacturing industry has paved way for a systematical deployment of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space. Moreover, by utilizing advanced information analytics, networked machines will be able to perform more efficiently, collaboratively and resiliently. Such trend is transforming manufacturing industry to the next generation, namely Industry 4.0. At this early development phase, there is an urgent need for a clear definition of CPS. In this paper, a unified 5-level architecture is proposed as a guideline for implementation of CPS.
3,370 citations
TL;DR: A comprehensive review on Industry 4.0 is conducted and presents an overview of the content, scope, and findings by examining the existing literatures in all of the databases within the Web of Science.
1,906 citations
TL;DR: The state of the art in the area of Industry 4.0 as it relates to industries is surveyed, with a focus on China's Made-in-China 2025 and formal methods and systems methods crucial for realising Industry 5.0.
Abstract: Rapid advances in industrialisation and informatisation methods have spurred tremendous progress in developing the next generation of manufacturing technology. Today, we are on the cusp of the Fourth Industrial Revolution. In 2013, amongst one of 10 ‘Future Projects’ identified by the German government as part of its High-Tech Strategy 2020 Action Plan, the Industry 4.0 project is considered to be a major endeavour for Germany to establish itself as a leader of integrated industry. In 2014, China’s State Council unveiled their ten-year national plan, Made-in-China 2025, which was designed to transform China from the world’s workshop into a world manufacturing power. Made-in-China 2025 is an initiative to comprehensively upgrade China’s industry including the manufacturing sector. In Industry 4.0 and Made-in-China 2025, many applications require a combination of recently emerging new technologies, which is giving rise to the emergence of Industry 4.0. Such technologies originate from different disciplines ...
1,780 citations
TL;DR: This paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing and describes worldwide movements in intelligent manufacturing.
1,602 citations