scholarly journals Healthy Operator 4.0: A Human Cyber–Physical System Architecture for Smart Workplaces

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2011 ◽  
Author(s):  
Shengjing Sun ◽  
Xiaochen Zheng ◽  
Bing Gong ◽  
Jorge García Paredes ◽  
Joaquín Ordieres-Meré
Keyword(s):  
System Architecture ◽  
Manufacturing Systems ◽  
Cyber Physical Systems ◽  
Smart Manufacturing ◽  
Prototype System ◽  
Implementation Framework ◽  
Widespread Application ◽  
Physical Systems ◽  
Enabling Technologies ◽  
Smart Manufacturing Systems

Recent advances in technology have empowered the widespread application of cyber–physical systems in manufacturing and fostered the Industry 4.0 paradigm. In the factories of the future, it is possible that all items, including operators, will be equipped with integrated communication and data processing capabilities. Operators can become part of the smart manufacturing systems, and this fosters a paradigm shift from independent automated and human activities to human–cyber–physical systems (HCPSs). In this context, a Healthy Operator 4.0 (HO4.0) concept was proposed, based on a systemic view of the Industrial Internet of Things (IIoT) and wearable technology. For the implementation of this relatively new concept, we constructed a unified architecture to support the integration of different enabling technologies. We designed an implementation model to facilitate the practical application of this concept in industry. The main enabling technologies of the model are introduced afterward. In addition, a prototype system was developed, and relevant experiments were conducted to demonstrate the feasibility of the proposed system architecture and the implementation framework, as well as some of the derived benefits.

scholarly journals The State of Cybersecurity in Smart Manufacturing Systems: A Systematic Review

2021 ◽  
Vol 6 (6) ◽  
pp. 188-194
Author(s):  
Armando Araújo de Souza Junior ◽  
José Luiz de Souza Pio ◽  
Jó Cunha Fonseca ◽  
Marcelo Albuquerque De Oliveira ◽  
Otávio Cesar de Paiva Valadares ◽  
...  
Keyword(s):  
Information Technologies ◽  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
New Paradigm ◽  
Production Chain ◽  
Manufacturing Plants ◽  
Physical Systems ◽  
Smart Manufacturing Systems

With the advent of the so-called 4th Industrial Revolution, personified in the globally commented Industry 4.0, there is a change in progress in manufacturing systems, provided by the development of communication and information technologies, adding an intelligence component in manufacturing plants, through the possibility connectivity and interaction throughout the production chain (intelligent manufacturing systems or cyber-physical systems). However, this new paradigm has an extremely sensitive component, which is the question of the security of the data that is transferred and of the production processes itself. Due to this premise, this article proposed to bring, through a systematic literature review, research about the academic works related to security in these new manufacturing structures (smart manufacturing systems), analyzing which strategies, methodologies, techniques, and technologies have currently used to learn about their vulnerabilities and mitigate possible attacks.

scholarly journals Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2274
Author(s):  
María Jesús Ávila-Gutiérrez ◽  
Francisco Aguayo-González ◽  
Juan Ramón Lama-Ruiz
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Human Factor ◽  
Smart Manufacturing ◽  
Physical Systems ◽  
Support Skills ◽  
Key Enabling Technologies ◽  
Smart Manufacturing Systems ◽  
New Framework

Human Factor strategy and management have been affected by the incorporation of Key Enabling Technologies (KETs) of industry 4.0, whereby operator 4.0 has been configured to address the wide variety of cooperative activities and to support skills that operate in VUCA (volatile, uncertain, complex, and ambiguous) environments under the interaction with ubiquitous interfaces on real and virtual hybrid environments of cyber-physical systems. Current human Competences-Capacities that are supported by the technological enablers could result in a radically disempowered human factor. This means that in the processes of optimization and improvement of manufacturing systems from industry 4.0 to industry 5.0, it would be necessary to establish strategies for the empowerment of the human factor, which constitute symbiotic and co-evolutionary socio-technical systems through talent, sustainability, and innovation. This paper establishes a new framework for the design and development of occupational environments 5.0 for the inclusion of singularized operators 4.0, such as individuals with special capacities and talents. A case study for workers and their inclusion in employment is proposed. This model integrates intelligent and inclusive digital solutions in the current workspaces of organizations under digital transformation.

scholarly journals A Model for Working Environment Monitoring in Smart Manufacturing

2021 ◽  
Vol 11 (6) ◽  
pp. 2850
Author(s):  
Dalibor Dobrilovic ◽  
Vladimir Brtka ◽  
Zeljko Stojanov ◽  
Gordana Jotanovic ◽  
Dragan Perakovic ◽  
...  
Keyword(s):  
Open Source ◽  
Student Teaching ◽  
Manufacturing Systems ◽  
Working Environment ◽  
Smart Manufacturing ◽  
Environment Monitoring ◽  
Application Development ◽  
Testing Platform ◽  
Proposed Model ◽  
Smart Manufacturing Systems

The growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.

Sign in / Sign up

Export Citation Format

Share Document