The Fourth Industrial Revolution: Digital Transformation and Industry 4.0 Applied to Product Design, Manufacturing and Operation

Bayoumi, Abdel; Matthews, Rhea; Fatah, Amr A. Abdel

doi:10.1007/978-3-030-57745-2_85

Cited by 3 publications

(7 citation statements)

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“…Ref. [64] suggests that digital transformation (where Augmented Reality is one of the key enabling technologies) can soon be applied to premature infant monitoring and brain tumour monitoring. Moreover, it is anticipated that surgical operations performed through smart glasses or digital contact lenses will also benefit [36].…”

Section: Resultsmentioning

confidence: 99%

“…[23], which believes that Augmented Reality can be used for the education of medical students (with respect to human anatomy). Another concept emerging from Augmented Reality is the Digital Twin. It can be described as a virtual representation of physical objects, processes, systems or even human environment which monitors them in real‐time, lying in the intersection of Augmented and Virtual Reality [32, 64]. Currently, its main applications can be found in product design, manufacturing and equipment monitoring.…”

Section: Resultsmentioning

confidence: 99%

“…The findings of this research suggest that CPS equipment can also be used to offer treatment to tuberculosis patients. CPS are also mentioned in Ref. [69], where the authors provide a case study of a healthcare industry that has a strong CPS consisting of IoT devices to evaluate their framework for privacy protection in those organisations. Furthermore, CPS can be used to recreate the Digital Twins required to perform activities like fault detection, fault analysis and cost benefit analysis, which are necessary for the digital transformation of a healthcare organisation in the context of Industry 4.0 [64]. …”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, CPS can be used to recreate the Digital Twins required to perform activities like fault detection, fault analysis and cost benefit analysis, which are necessary for the digital transformation of a healthcare organisation in the context of Industry 4.0 [64].…”

Section: Resultsmentioning

confidence: 99%

“…� Another concept emerging from Augmented Reality is the Digital Twin. It can be described as a virtual representation of physical objects, processes, systems or even human environment which monitors them in real-time, lying in the intersection of Augmented and Virtual Reality [32,64].…”

Section: Augmented Realitymentioning

confidence: 99%

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Industry 4.0 and healthcare: Context, applications, benefits and challenges

et al. 2022

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Industry 4.0 refers to the digital transformation in the manufacturing domain through new technology. Currently, it expands well beyond manufacturing, affecting many areas of life and posing implications for all types of business. This paper focuses on the relationships between Industry 4.0 and Healthcare which transitions to increased interconnectivity, automation and smart decision making. The integration context of Industry 4.0 into Healthcare is only partly understood. Little was done until now to consolidate what is known on the integration benefits and the challenges. This article reports results of a systematic mapping study that analysed 69 papers to extract knowledge about the concepts of Industry 4.0 and the emerging Healthcare 4.0., and the relationships between them. We found 10 different perspectives of Healthcare 4.0, ranging from strategic to tactical and operational levels. Next, our results show: (i) nine applications of Industry 4.0 in the Healthcare domain: Augmented Reality and Simulation, Autonomous Robotics, Cybersecurity, Big Data Analytics, Internet of Things, Cloud Computing, Additive Manufacturing and Systems Integration; and (ii) 10 benefits and nine challenges in Healthcare 4.0. The most frequently mentioned benefits are patients' diagnosis, monitoring, treatment, and financial benefits. The most researched challenges are data fragmentation, heterogeneity, complexity, and privacy.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Augmented Realitymentioning

confidence: 99%

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Industry 4.0 and healthcare: Context, applications, benefits and challenges

et al. 2022

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Artificial Intelligence-Based Life Cycle Engineering in Industrial Production: A Systematic Literature Review

et al. 2022

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This paragraph of the first footnote will contain support information, including sponsor and financial support acknowledgement.ABSTRACT.For the last few years, cases of applying artificial intelligence (AI) to engineering activities towards sustainability have been reported. Life Cycle Engineering (LCE) provides a potential to systematically reach higher and productivity levels, owing to its holistic perspective and consideration of economic and environmental targets. To address the current gap to more systematic deployment of AI with LCE (AI-LCE) we have performed a systematic literature review emphasizing the three aspects:(1) the most prevalent AI techniques, (2) the current AI-improved LCE subfields and (3) the subfields with highly enhanced by AI. A specific set of inclusion and exclusion criteria were used to identify and select academic papers from several fields, i.e. production, logistics, marketing and supply chain and after the selection process described in the paper we ended up with 42 scientific papers. The study and analysis show that there are many AI-LCE papers addressing Sustainable Development Goals mainly addressing: Industry, Innovation, and Infrastructure; Sustainable Cities and Communities; and Responsible Consumption and Production. Overall, the papers give a picture of diverse AI techniques used in LCE. Production design and Maintenance and Repair are the top explored LCE subfields whereas logistics and Procurement are the least explored subareas. Research in AI-LCE is concentrated in a few dominating countries and especially countries with a strong research funding and focus on Industry 4.0; Germany is standing out with numbers of publications. The in-depth analysis of selected and relevant scientific papers are helpful in getting a more correct picture of the area which enables a more systematic approach to AI-LCE in the future.

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Conceptual design for an additively manufactured building brick

González,

Pimentel,

Jaén Ortega

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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Additive manufacturing (AM) is an attractive fabrication method in several industrial fields, including the construction sector, also called Architecture, engineering, and construction industry (AEC). This technique's popularity is continuously growing due to the benefits over traditional methods, such as rapid production, custom parts, and reduced material waste, offering opportunities to develop complex shapes with geometric freedom and a high degree of detail and achieving a high degree of automation. Addressing AM from the early stages of conceptual design allows greater exploitation of its benefits. Thus, this study tackles a conceptual redesign approach to adapt traditional bricks into additively manufactured bricks. The methodology was inspired by conceptual design as defined by VDI 2221, including design thinking mindsets as a source of idea generation. A functional analysis was performed to characterize this product and obtain two redesign options: internal diamond-shaped and rectangular-shaped cells, with the possibility of integrating phase change materials. A numerical analysis showed that the rectangular-shaped cells using AM-adapted concrete complied with ASTM C90 standardized bricks.

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The Fourth Industrial Revolution: Digital Transformation and Industry 4.0 Applied to Product Design, Manufacturing and Operation

Cited by 3 publications

References 0 publications

Industry 4.0 and healthcare: Context, applications, benefits and challenges

Industry 4.0 and healthcare: Context, applications, benefits and challenges

Artificial Intelligence-Based Life Cycle Engineering in Industrial Production: A Systematic Literature Review

Conceptual design for an additively manufactured building brick

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