Big data, industry 4.0 and cyber-physical systems integration: A smart industry context

Author(s):  
Harpreet Singh
2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Felipe de Campos Martins ◽  
Alexandre Tadeu Simon ◽  
Renan Stenico de Campos

Abstract: The Supply Chain has undergone major transformations due to the need to implement new Industry 4.0 technologies, such as Internet of Things, Big Data, Cyber-Physical Systems and Cloud Computing. Thanks to these technologies, as well as to their subsystems and components, full integration of the supply chain is becoming possible. However, it is observed that the real impacts of Industry 4.0 technologies, rather positive or negative, are not yet totally clear and identified. This paper aims to identify and present an analysis of the challenges and obstacles that Industry 4.0 technologies may cause in the Supply Chain. For this, the most relevant papers on the topic were selected and analyzed through a systematic literature review. Twenty challenges grouped into four macrogroups were identified: (1) technical challenges, (2) financial, environmental and legal challenges, (3) technological challenges, and (4) sociocultural challenges. It should be noted that these challenges require greater attention and more in-depth studies on the part of the academy to support industry in order to mitigate them and thus allow better use of the available technological resources and optimize the performance of Supply Chain operations.


2017 ◽  
Vol 02 (03) ◽  
pp. 1750011 ◽  
Author(s):  
Jin Ho Kim

Recently, there has been an explosive growth in the development and implementation of various Cyber-Physical Systems (CPS). Accordingly, CPS-related research and advancements in CPS technologies have increasingly been part of the emerging trends in IT areas such as Internet of Things (IoT), Big Data, cloud computing, and Industry 4.0. However, there are only a few research efforts that identify the comprehensive CPS research trends relevant to the emerging IT trends. Therefore, the aim of this paper is to explore what CPS research topics are related to the emerging IT trends and to investigate how industries have implemented CPS technologies.


Author(s):  
Anna Smyshlyaeva ◽  
Kseniya Reznikova ◽  
Denis Savchenko

With the advent of the Industry 4.0 concept, the approach to production automation has fundamentally changed. The manufacturing industry is based on such modern technologies as the Internet of Things, Big Data, cloud computing, artificial intelligence and cyber-physical systems. These technologies have proven themselves not only in industry, but also in various other branches of life. In this paper, the authors consider the concept of cyber-physical systems – systems based on the interaction of physical processes with computational ones. The article presents a conceptual model of cyber-physical systems that displays its elements and their interaction. In cyber-physical systems, it represents five levels: physical, network, data storage, processing and analytics level, application level. Cyber-physical systems carry out their work using a basic set of technologies: the Internet of things, big data and cloud computing. Additional technologies are used depending on the purpose of the system. At the physical level, data is collected from physical devices. With the help of the Internet of Things at the network level, data is transferred to a data warehouse for further processing or processed almost immediately thanks to cloud computing. The amount of data in cyber-physical systems is enormous, so it is necessary to use big data technology and effective methods for processing and analyzing this data. The main feature of this technological complex is real-time operation. Despite the improvement in the quality of production and human life, cyber-physical systems have a number of disadvantages. The authors highlight the main problems of cyber-physical systems and promising areas of research for their development. Having solved the listed problems, cyber-physical systems will reach a qualitatively new level of utility. The paper also provides examples of the implementation of concepts such as a smart city, smart grid, smart manufacturing, smart house. These concepts are based on the principle of cyber-physical systems.


2019 ◽  
Vol 9 (6) ◽  
pp. 5056-5061 ◽  
Author(s):  
M. F. Mubarak ◽  
F. A. Shaikh ◽  
M. Mubarik ◽  
K. A. Samo ◽  
S. Mastoi

Business ecosystems are continuously evolving. In this hyper-competitive era, firms are increasingly transforming their business operations through advanced digital technologies. Gone are the days of mere testing and debating the influence of digital transformation and industry 4.0, yet the time has come for actionable steps. Therefore, this study has identified the role of industry 4.0 technologies including big data, cyber-physical systems, internet of things and interoperability, on the performance of Small and Medium-sized Enterprises (SMEs) in Pakistan. A relevant questionnaire was developed and distributed randomly in the cities of Karachi, Lahore, Peshawar, Islamabad, Gujrat, and Sialkot. After applying multiple regression techniques through SPSS, it was found that big data, cyber-physical systems, and interoperability have a significant positive impact to improve business performance, while the insignificant effect of internet of things was revealed. Since the research in the area of digital transformation and industry 4.0 is scant, the current study has contributed novel directions, insights and a framework for future researchers. Moreover, this study will help managers to justify the allocation of resources towards technological infrastructure development in the operations of their firms. Finally, policymakers will find it helpful in order to devise suitable strategies for developing human capital and to enhance their absorptive capacity.


2020 ◽  
Vol 12 (7) ◽  
pp. 914-917
Author(s):  
Akash Sharma ◽  
V. K. Dwivedi ◽  
Deepak Sharma

Industry 4.0 is an industrial transformation towards a smart factory. Industry 4.0 brings a revolution throughout the world in Industrial sector by integration of several processes together in manufacturing. A smart industry 4.0 is a bundled structure which comprises of data, people, processes, services, systems. Industry 4.0 is a next level which makes the industry a smart factory by including the IOT (internet of things), Cloud Computing, Cyber-Physical Systems, System Integration, Big Data analytics, IT (information technology) and OT (operational technology) together. In this paper, an overview of industry 4.0 a smart factory is presented that how industry 4.0 is implemented and also issues in implementing a smart industry 4.0 with the help of nine digital industrial technologies and its applications and to study the industrial transformation towards the smart industry 4.0.


2021 ◽  
Author(s):  
David H Cropley ◽  
Kelsey E Medeiros ◽  
Adam Damadzic

The rise of Industry 4.0 – the proliferation of cyber-physical systems, artificial intelligence, big data, and automation – has turned attention, once again, to the interaction between humans and robots . Captivating attention in both academic and public spheres, the debate on how humans and robots interact largely centres around the interplay between human and artificial cognition. The human-robot cognition interaction fuels practical inquiries into the formation of high-performing human-robot teams, leveraging robots to enhance human cognition, and the capacity for robots to overtake human cognition. At the heart of these conversations, however, lies a critical question – what does the Future of Work look like? (see, for example, OECD, 2017). As robots take on more and more tasks previously performed by humans, where does that leave the human worker?


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