An integrated outlook of Cyber–Physical Systems for Industry 4.0: Topical practices, architecture, and applications

Javaid, Mohd; Haleem, Abid; Singh, Ravi Pratap; Suman, Rajiv

doi:10.1016/j.grets.2022.100001

Cited by 31 publications

(13 citation statements)

References 149 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These innovative business models hinge on the rapid accessibility of extensive data and the complete digitization of the surrounding environment. Industries, manifested as Cyber-Physical Systems (CPSs) linked to an industrial network, offer a range of services to external entities based on a service-oriented architecture, SOA [14]. Within the Industry 4.0 environment, terminology and concepts are leveraged from diverse domains, incorporating elements such as the orchestration of services in a service-oriented environment from the ICT sector.…”

Section: Industry 40mentioning

confidence: 99%

Software and Architecture Orchestration for Process Control in Industry 4.0 Enabled by Cyber-Physical Systems Technologies

Serôdio,

Mestre,

Cabral

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

In the context of Industry 4.0, this paper explores the vital role of advanced technologies, including Cyber–Physical Systems (CPS), Big Data, Internet of Things (IoT), digital twins, and Artificial Intelligence (AI), in enhancing data valorization and management within industries. These technologies are integral to addressing the challenges of producing highly customized products in mass, necessitating the complete digitization and integration of information technology (IT) and operational technology (OT) for flexible and automated manufacturing processes. The paper emphasizes the importance of interoperability through Service-Oriented Architectures (SOA), Manufacturing-as-a-Service (MaaS), and Resource-as-a-Service (RaaS) to achieve seamless integration across systems, which is critical for the Industry 4.0 vision of a fully interconnected, autonomous industry. Furthermore, it discusses the evolution towards Supply Chain 4.0, highlighting the need for Transportation Management Systems (TMS) enhanced by GPS and real-time data for efficient logistics. A guideline for implementing CPS within Industry 4.0 environments is provided, focusing on a case study of real-time data acquisition from logistics vehicles using CPS devices. The study proposes a CPS architecture and a generic platform for asset tracking to address integration challenges efficiently and facilitate the easy incorporation of new components and applications. Preliminary tests indicate the platform’s real-time performance is satisfactory, with negligible delay under test conditions, showcasing its potential for logistics applications and beyond.

show abstract

Section: Industry 40mentioning

confidence: 99%

Software and Architecture Orchestration for Process Control in Industry 4.0 Enabled by Cyber-Physical Systems Technologies

Serôdio,

Mestre,

Cabral

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Javaid et al [70] emphasize the importance of cyber-physical systems (CPS) in Industry 4.0 for enhancing real-time data analysis and manufacturing efficiency. The integration of CPS, along with IoT and Digital Twin technologies, is crucial for smart manufacturing and decision-making.…”

Section: Integrating Technology and Environmental Managementmentioning

confidence: 99%

Natural Resource Optimization and Sustainability in Society 5.0: A Comprehensive Review

Ramírez-Márquez,

Posadas-Paredes,

Raya-Tapia

et al. 2024

Resources

View full text Add to dashboard Cite

In this study, we examine Society 5.0, defined as a future framework where advanced technologies like artificial intelligence (AI), the Internet of Things (IoT), and other digital innovations are integrated into society for sustainable resource management. Society 5.0 represents an evolution from the industrial focus of Industry 4.0, aiming for a harmonious balance between technological progress and human-centric values, consistent with the United Nations Sustainable Development Goals. Our methodology involves a detailed literature review, focusing on identifying and evaluating the roles of AI, IoT, and other emerging technologies in enhancing resource efficiency, particularly in the water and energy sectors, to minimize environmental impact. This approach allows us to present a comprehensive overview of current technological advancements and their potential applications in Society 5.0. Our study’s added value lies in its synthesis of diverse technological strategies, emphasizing the synergy between circular economy practices and sustainable economic development. We highlight the necessity for resilience and adaptability to ecological challenges and advocate for a collaborative, data-informed decision-making framework. Our findings portray Society 5.0 as a holistic model for addressing contemporary global challenges in resource management and conservation, projecting a future where technology aligns with sustainable, equitable, and human-centered development.

show abstract

“…The final phase is Actuation which uses the results of the computing phases to actuate certain functionality including integral behavior with sensors, actuators, and physical processes. [10] Figure 2: Working Flow of CPS.…”

Section: Ai and ML In Vehicular Cps Systemsmentioning

confidence: 99%

Machine learning attacks and defenses for vehicular cyber physical systems

Rodriguez,

Richard,

Johnson

et al. 2024

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI

View full text Add to dashboard Cite

The automotive industry must implement some of the best cybersecurity practices to protect electronic systems, communication networks, control algorithms, software, users, and data from malicious attacks. An artificial intelligence (AI) & machine learning (ML) based automotive cybersecurity system could help identify potential vulnerabilities in electronic vehicles as they are part of the vehicular cyber physical systems (CPS). The primary reason that cybersecurity challenges in the automotive domain differ significantly from those in other sectors are threats to computer systems within vehicular CPS can cause direct harm to the drivers of the vehicles. There is a pressing need for better understanding of various attacks and defensive approaches for vehicular CPS to better protect them against any potential threats. This study investigates AI/ML attacks and defenses for vehicular CPS systems to extract a better comprehension of how cybersecurity affects computational components within the vehicular CPS, what the standards are & how they differ, the types of prominent attacks against these systems, and finally an overview of defensive approaches for these attacks. We provide a comprehensive overview of the attacks and defensive techniques/methodologies against vehicular cyberphysical systems.

show abstract

An integrated outlook of Cyber–Physical Systems for Industry 4.0: Topical practices, architecture, and applications

Cited by 31 publications

References 149 publications

Software and Architecture Orchestration for Process Control in Industry 4.0 Enabled by Cyber-Physical Systems Technologies

Software and Architecture Orchestration for Process Control in Industry 4.0 Enabled by Cyber-Physical Systems Technologies

Natural Resource Optimization and Sustainability in Society 5.0: A Comprehensive Review

Machine learning attacks and defenses for vehicular cyber physical systems

Contact Info

Product

Resources

About