Industry 5.0 is Coming: A Survey on Intelligent NextG Wireless Networks as Technological Enablers

Zeb, Shah; Mahmood, Aamir; Khowaja, Sunder Ali; Dev, Kapal; Hassan, Syed Ali; Qureshi, Nawab Muhammad Faseeh; Gidlund, Mikael; Bellavista, Paolo

doi:10.48550/arxiv.2205.09084

Cited by 7 publications

(6 citation statements)

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“…As authors like Taesi, C., Aggogeri, F., and Zeb, Shah, et al mention that industry research emphasizes improving robotic systems and integrating newer technologies. Incorporating advanced technologies in the AEC sector signifies a monumental move towards sustainable, efficient, and user-centric spaces [74,98]. This evolution requires a collective effort to maximize benefits while addressing inherent challenges.…”

Section: Discussionmentioning

confidence: 99%

“…Zeb, Shah, et al note that Industry 5.0 in AEC, an evolution from Industry 4.0, pursues resilience, sustainability, and human-centric solutions in new applications. Human insight and trustworthy, intelligent cobots aim to achieve zero waste, zero defects, and mass-customized production [98]. Modern firms must adopt several methods and address many needs to compete globally, according to Rojek et al (2023).…”

Section: Sustainable Development In the Aec Industry Areamentioning

confidence: 99%

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Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments

Almusaed,

Yitmen,

Almssad

2023

Sustainability

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This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0 into the design and construction of intelligent, environmentally friendly, and long-lasting structures. This statement highlights the need to shift away from the current methods seen in the AEC Industry 5.0 to effectively respond to the increasing requirement for creative and environmentally sustainable infrastructures. Modern building techniques have been made more efficient and long-lasting because of AEC Industry 6.0’s cutting-edge equipment, cutting-edge digitalization, and ecologically concerned methods. The academic community has thoroughly dissected the many benefits of AEC Industry 5.0. Examples are increased stakeholder involvement, automation, robotics for optimization, decision structures based on data, and careful resource management. However, the difficulties of implementing AEC Industry 6.0 principles are laid bare in this research. It calls for skilled experts who are current on the latest technologies, coordinate the technical expertise of many stakeholders, orchestrate interoperable standards, and strengthen cybersecurity procedures. This study evaluates how well the principles of Industry 6.0 can create smart, long-lasting, and ecologically sound structures. The goal is to specify how these ideas may revolutionize the building industry. In addition, this research provides an in-depth analysis of how the AEC industry might best adopt AEC Industry 6.0, underscoring the sector-wide significance of this paradigm change. This study thoroughly analyzes AEC Industry 6.0 about big data analytics, the IoT, and collaborative robotics. To better understand the potential and potential pitfalls of incorporating AEC Industry 6.0 principles into the construction of buildings, this study examines the interaction between organizational dynamics, human actors, and robotic systems.

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Section: Discussionmentioning

confidence: 99%

Section: Sustainable Development In the Aec Industry Areamentioning

confidence: 99%

Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments

Almusaed,

Yitmen,

Almssad

2023

Sustainability

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“…The research outcomes are presented as a transition framework and a set of recommendations towards the desired future state, with phased timings for implementing the critical enablers with a potential 2035 vision to support the Industry 5.0 transition. Ghobakhloo et al (2022) [20] noted that supply partners should proactively monitor core business processes and functions to analyze their economic and socio-environmental performance and risks. The development of these functions should enable companies to integrate renewables and move toward servitization and product customization to develop new value streams and improve the customer experience.…”

Section: Literature Reviewmentioning

confidence: 99%

Artificial Intelligence for the Management of Servitization 5.0

Nicoletti¹,

Appolloni

2023

Sustainability

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Purpose—The sale of physical products has been manufacturing companies’ main revenue source. A trend is known as servitization for earning revenue comes from services. With the convergence of servitization and digitization, many manufacturing organizations are undergoing digital servitization. In parallel, the digitization of industry is pushing new technological solutions to the top of the business agenda. Artificial intelligence can play a substantial role in this digital business transformation. This evolution is referred to in this paper as Servitization 5.0 and requires substantial changes. Aim—This paper explores the applications of artificial intelligence to Servitization 5.0 strategies and its role, particularly in changing organizations to EverythiA.I.ng as a Service. The paper underlines the contribution that A.I. can provide in moving to a human-centric, sustainable, and resilient servitization. Method used—The basis of the work is a literature review supported by information collected from business case studies by the authors. A follow-up study defined the models. The validity of the model was tested by collecting ten experts’ opinions who currently work within servitization contracts sessions. Findings—For manufacturing companies, selling services requires completely different business models. In this situation, it is essential to consider advanced solutions to support these new business models. Artificial Intelligence can make it possible. On the inter-organizational side, empirical evidence also points to the support of A.I. in collaborating with ecosystems to support sustainability and resilience, as requested by Industry 5.0. Original value—Regarding theoretical implications, this paper contributes to interdisciplinary research in corporate marketing and operational servitization. It is part of the growing literature that deals with the applications of artificial intelligence-based solutions in different areas of organizational management. The approach is interesting because it highlights that digital solutions require an integrated business model approach. It is necessary to implement the technological platform with appropriate processes, people, and partners (the four Ps). The outcome of this study can be generalized for industries in high-value manufacturing. Implications—As implications for management, this paper defines how to organize the structure and support for Servitization 5.0 and how to work with the external business environment to support sustainability.

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“…Industrial wireless communications networks are envisioned to play a crucial role in enabling the next generation of industrial evolution which is anticipated to be based on three main elements; resilience, sustainability, and human-centric industries [1]. These core elements are added to the current focus of the smart manufacturing and industry 4.0 visions of enhancing digitization in smart production and the increased intelligence in industrial automation.…”

Section: Introductionmentioning

confidence: 99%

A deep learning framework for industrial wireless networks

Hany

2023

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In this report, we introduce a framework to analyze, monitor, and identify the state of industrial wireless networks and their impact on industrial use cases. This framework is based on a deep learning approach for modeling the interactions between the wireless network and industrial use cases. The framework uses the information from different system layers including the spectrum measurements, physical layer metrics, network layer packets, and application layer production-related metrics in order to study the industrial wireless network behavior. The output of the framework can be generally used to improve system management and optimization functions.

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Industry 5.0 is Coming: A Survey on Intelligent NextG Wireless Networks as Technological Enablers

Cited by 7 publications

References 0 publications

Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments

Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments

Artificial Intelligence for the Management of Servitization 5.0

A deep learning framework for industrial wireless networks

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