Classification of cyber-physical production systems applications: Proposition of an analysis framework

Cardin, Olivier

doi:10.1016/j.compind.2018.10.002

Cited by 113 publications

(57 citation statements)

References 89 publications

(103 reference statements)

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“…So, CPPS consists of autonomous and cooperative elements and subsystems that are connected based on the context within and across all levels of production, from processes, through machines and up to production and logistics networks (Monostori et al, 2016). It leads to consider CPPS from CPS as built on three basic capabilities (Cardin, 2019): Intelligence (computation), Connectedness (communication), and Responsiveness (control). These capabilities allow to consider CPPS as a support to transform the manufacturing processes into highly distributed but interconnected networks of "entities" requiring new way of collaborations between these entities based, for example, on formalism of collaborative control theory (Nof, 2007) to found collaborative factory of the future (Moghaddam and Nof, 2017).…”

Section: Cpps-based (Discrete) Manufacturing Plant Controlmentioning

confidence: 99%

Challenges for the cyber-physical manufacturing enterprises of the future

Panetto

Iung

Ivanov

et al. 2019

Annual Reviews in Control

257

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This paper summarizes a vision of the challenges facing the so-called "Industry of the Future" as studied by the research community of the IFAC Coordinating Committee 5 on Manufacturing and Logistics Systems, which includes four Technical Committees (TC). Each TC brings its own vision and puts forward trends and issues important and relevant for future research. The analysis is performed on the enterprise-level topics with an interface too other relevant systems (e.g., supply chains). The vision developed might lead to the identification of new scientific control directions such as Industry 4.0 technology-enabled new production strategies that require highly customised supply network control, the creation of resilient enterprise to cope with risks, developments in management decision-support systems for the design, and scheduling and control of resilient and digital manufacturing networks, and collaborative control. Cobots, augmented reality and adaptable workstations are a few examples of how production and logistic systems are changing supporting the operator 4.0. Sustainable manufacturing techniques, such closed-loop supply chains, is another trend in this area. Due to increasing number of elements and systems, complex and heterogeneous enterprise systems need to be considered (e.g., for decision-making). These systems are heterogeneous and build by different stakeholders. To make use of these, an environment is needed that allows the integration of the systems forming a System-of-Systems (SoS). The changing environment requires models which adapt over time. Some of the adaptation is due to learning, other mechanisms include self-organisation by intelligent agents. In general, models and systems need to be modular and support modification and (self-)adaptation. An infrastructure is needed that supports loose coupling and evolving systems of systems. The vision of the overall contribution from the research community in manufacturing and logistics systems, over the next few years is to bring together researchers and practitioners presenting and discussing topics in modern manufacturing modelling, management and control in the emerging field of Industry 4.0-based resilient and innovative production SoS and supply networks.

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Section: Cpps-based (Discrete) Manufacturing Plant Controlmentioning

confidence: 99%

Challenges for the cyber-physical manufacturing enterprises of the future

Panetto

Iung

Ivanov

et al. 2019

Annual Reviews in Control

257

View full text Add to dashboard Cite

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“…CPS is a system that consists of various subsystems in which control at the physical level is carried out on the basis of processing signals from multiple sensors and making decisions at the cyber level [3,4]. In [5] introduces a new analysis framework for classifying Cyber-Physical Production Systems applications relatively to various items, including their cognitive abilities, their application extent, the interaction with human operators, the distribution of intelligence and the network technologies that are used. CPS's are defined as systems with decentralized control, resulting from a merger between the real and virtual worlds, having autonomous behavior and depending on the context in which they are located.…”

Section: Preconditions For Creating Cpsmentioning

confidence: 99%

Integration of Cyber-Physical Systems in EScience Environment: State-of-the-Art, Problems and Effective Solutions

Fətəliyev¹,

Mehdiyev²

2019

IJMECS

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The implementation of the concept of building an information society implies a widespread introduction of IT in all areas of modern society, including in the field of science. Here, the further progressive development and deepening of scientific research and connections presuppose a special role of e-science. E-science is closely connected with the innovative potential of IT, including the Internet technologies, the Internet of things, cyber-physical systems, which provide the means and solutions to the problems associated with the collection of scientific data, their storage, processing, and transmission. The integration of cyber-physical systems is accompanied by the exponential growth of scientific data that require professional management, analysis for the acquisition of new knowledge and the qualitative development of science. In the framework of e-science, cloud technologies are now widely used, which represent a centralized infrastructure with its inherent characteristic that is associated with an increase in the number of connected devices and the generation of scientific data. This ultimately leads to a conflict of resources, an increase in processing delay, losses, and the adoption of ineffective decisions. The article is devoted to the analysis of the current state and problems of integration of cyber-physical systems in the environment of e-science and ways to effectively solve key problems. The environment of e-science is considered in the context of a smart city. It presents the possibilities of using the cloud, fog, dew computing, and blockchain technologies, as well as a technological solution for decentralized processing of scientific data.

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“…This makes CPS exceedingly discrete from just an embedded system [149]. Lately, CPS frameworks have been congruously utilized in various fields including manufacturing [150], laboratory and teaching factory [151,152]. The latest development of CPS is the Mobile CPS that extend CPS application domains [153].…”

Section: Cyber Physical System (Cps)mentioning

confidence: 99%

Exponential Disruptive Technologies and the Required Skills of Industry 4.0: A Review

Bongomin¹,

Ocen²,

Nganyi³

et al. 2019

Preprint

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The 21st century has witnessed precipitous changes spanning from the way of life to the technologies that emerged. We have entered a nascent paradigm shift (industry 4.0) where science fictions have become science facts, and technology fusion is the main driver. Thus, ensuring that any advancement in technology reach and benefit all is the ideal opportunity for everyone. In this study, disruptive technologies of industry 4.0 was explored and quantified in terms of the number of their appearances in published literature. The study aimed at identifying industry 4.0 key technologies which have been ill-defined by previous researchers and to enumerate the required skills of industry 4.0. Comprehensive literature survey covering the field of engineering, production, and management was done from multidisciplinary databases: Google scholar, ScienceDirect, Scopus, Sage, Taylor & Francis and Emerald insight. Results of the electronic survey showed that 35 disruptive technologies were quantified and 13 key technologies: Internet of things, Big data, 3D printing, Cloud computing, Autonomous robots, Virtual and Augmented reality, Cyber physical system, Artificial intelligence, Smart sensors, Simulation, Nanotechnology, Drones and Biotechnology were identified. Both technical and personal skills to be imparted into the human workforce for industry 4.0 were reported. The study identified the need to investigate the capability and the readiness of developing countries in adapting industry 4.0 in terms of the changes in the education systems and industrial manufacturing settings. The study proposes the need to address integration of industry 4.0 concepts into the current education system.

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Classification of cyber-physical production systems applications: Proposition of an analysis framework

Cited by 113 publications

References 89 publications

Challenges for the cyber-physical manufacturing enterprises of the future

Challenges for the cyber-physical manufacturing enterprises of the future

Integration of Cyber-Physical Systems in EScience Environment: State-of-the-Art, Problems and Effective Solutions

Exponential Disruptive Technologies and the Required Skills of Industry 4.0: A Review

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