The Evolution of Cyber-Physical Systems as a Driving Force Behind Digital Transformation

Author(s):  
Christoph Klotzer ◽  
Julia WeiBenborn ◽  
Alexander Pflaum
Author(s):  
Juraj Sinay ◽  
Zuzana Kotianová

Abstract The emergence of cyber-physical systems encourages constant adaptation to the complex requirements of new systems, creating new requirements for businesses that must adapt their activity to change. The automotive industry is the decisive industry and the driving force behind the development of the Slovak economy. Changes that have occurred in the automotive industry are reflected in the high automation of processes, which is reflected in the need to change management, in particular the need for on-line automotive tracking.


Author(s):  
Armando Walter Colombo ◽  
Stamatis Karnouskos ◽  
Christoph Hanisch

The world is increasingly interconnected, and this can also be seen in industry, where an ecosystem of digitalized assets, and humans with appropriate digital interfaces, constantly interact with each other. Digital transformation efforts in the industry rely on Industrial Cyber-Physical Systems that are driven by service-based cooperation among humans and digitalized industrial assets. This implies a radical paradigm change in their engineering and operation, which is focused on the symbiosis of digitalized assets and humans that cohabit a collaboration-driven industrial ecosystem. This work discusses how a digital transformation can effectively be achieved in an industrial ecosystem via a digitalization process performed along the three dimensions of the Reference Architecture Model for Industry 4.0, facilitated by the specification, development and implementation of an Asset Administration Shell. The discussion focus is put on humans and how the digitally transformed industrial environments empower her/his capabilities and interactions. It is also critically pointed out how one should go beyond technology and consider additional aspects. Therefore, it is argued that human-centred efforts in Industry 4.0 (I4.0) should be seen in the larger context of sustainability and circular economy in order to properly consider the interplay of the involved socio-technical dimensions. This article is part of the theme issue ‘Towards symbiotic autonomous systems’.


Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 66
Author(s):  
Cristian Rocha-Jácome ◽  
Ramón González Carvajal ◽  
Fernando Muñoz Chavero ◽  
Esteban Guevara-Cabezas ◽  
Eduardo Hidalgo Fort

Currently, the concept of Industry 4.0 is well known; however, it is extremely complex, as it is constantly evolving and innovating. It includes the participation of many disciplines and areas of knowledge as well as the integration of many technologies, both mature and emerging, but working in collaboration and relying on their study and implementation under the novel criteria of Cyber–Physical Systems. This study starts with an exhaustive search for updated scientific information of which a bibliometric analysis is carried out with results presented in different tables and graphs. Subsequently, based on the qualitative analysis of the references, we present two proposals for the schematic analysis of Industry 4.0 that will help academia and companies to support digital transformation studies. The results will allow us to perform a simple alternative analysis of Industry 4.0 to understand the functions and scope of the integrating technologies to achieve a better collaboration of each area of knowledge and each professional, considering the potential and limitations of each one, supporting the planning of an appropriate strategy, especially in the management of human resources, for the successful execution of the digital transformation of the industry.


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 1 ◽  
pp. 60-65
Author(s):  
Galina Nikolcheva

The readiness for digital transformation of industry is highly dependent from the existence of enough ICT experts with profiles to industrial applications and cyber-physical systems as well as the widespread promotion and application of existing industry standards and practices in the domain of Industry 4.0. The raising of the digital readiness index for the industry requires the development of educational and scientific initiatives in order to create capacity for institutional and organizational acceptance of the requirements and prerequisites of Industry 4.0 as well the creation of pilot projects and demonstration installations for the purpose of visualizing and presenting good practices. This paper analyses prospects and opportunities of Cyber-physical system education in order to prepare well-trained and capable specialists for Industry 4.0. Some good practices in this area are outlined. Ideas for building the foundation of the training as well as the organization of the laboratory practice are presented.


Author(s):  
Okolie S.O. ◽  
Kuyoro S.O. ◽  
Ohwo O. B

Cyber-Physical Systems (CPS) will revolutionize how humans relate with the physical world around us. Many grand challenges await the economically vital domains of transportation, health-care, manufacturing, agriculture, energy, defence, aerospace and buildings. Exploration of these potentialities around space and time would create applications which would affect societal and economic benefit. This paper looks into the concept of emerging Cyber-Physical system, applications and security issues in sustaining development in various economic sectors; outlining a set of strategic Research and Development opportunities that should be accosted, so as to allow upgraded CPS to attain their potential and provide a wide range of societal advantages in the future.


Author(s):  
Curtis G. Northcutt

The recent proliferation of embedded cyber components in modern physical systems [1] has generated a variety of new security risks which threaten not only cyberspace, but our physical environment as well. Whereas earlier security threats resided primarily in cyberspace, the increasing marriage of digital technology with mechanical systems in cyber-physical systems (CPS), suggests the need for more advanced generalized CPS security measures. To address this problem, in this paper we consider the first step toward an improved security model: detecting the security attack. Using logical truth tables, we have developed a generalized algorithm for intrusion detection in CPS for systems which can be defined over discrete set of valued states. Additionally, a robustness algorithm is given which determines the level of security of a discrete-valued CPS against varying combinations of multiple signal alterations. These algorithms, when coupled with encryption keys which disallow multiple signal alteration, provide for a generalized security methodology for both cyber-security and cyber-physical systems.


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