Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 153, P. 104705 - 104705
Published: Sept. 10, 2024
Language: Английский
SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown
Published: Jan. 1, 2023
Generative Artificial Intelligence (AI) models like ChatGPT have become transformative tools across various industries, marking the advent of Industry 4.0, 5.0, and Society 5.0. These AI systems significantly improved communication problem-solving abilities, boosting efficiency productivity in fields ranging from customer service to healthcare education. However, their widespread use presents challenges. Concerns about data privacy, biases generated content, potential effects on employment patterns raise important questions responsible integration these technologies. In similar enabled automation streamlined analysis, optimizing manufacturing processes supply chain management. As 5.0 combines human intuition with advanced technologies, facilitate collaborative, adaptive, empathetic human-machine interactions, creating safer workplaces enhancing overall productivity. Furthermore, within context are crucial addressing societal issues accessibility educational disparities, providing tailored accessible solutions diverse communities. This research examines evolving role comparable realms It explores challenges associated implementation, underscoring necessity for ethical frameworks regulatory policies. Simultaneously, it underscores vast opportunities technologies present, stimulating innovation fostering inclusivity, shaping a future where enhances abilities cultivates harmonious coexistence between humans intelligent machines.
Language: Английский
Citations
52
Equilibrium Quarterly Journal of Economics and Economic Policy, Journal Year: 2024, Volume and Issue: 19(2), P. 429 - 461
Published: June 30, 2024
Research background: Multi-modal synthetic data fusion and analysis, simulation modelling technologies, virtual environmental location sensors shape the industrial metaverse. Visual digital twins, smart manufacturing sensory mining techniques, 3D twin predictive maintenance tools, big mobile analytics, cloud-connected spatial computing devices further immersive spaces, decentralized worlds, reality Purpose of article: We aim to show that extended cognitive systems, computer vision-based production neuro-engineering interoperability improve artificial intelligence-based metaverse hyper-immersive simulated environments. Geolocation tracking image processing computational robot motion algorithms, technologies economic business management environments Methods: Quality tools: AMSTAR, BIBOT, CASP, Catchii, R package Shiny app citationchaser, DistillerSR, JBI SUMARI, Litstream, Nested Knowledge, Rayyan, Systematic Review Accelerator. Search period: April 2024. terms: “digital metaverse” + “artificial Intelligence Things systems”, “multisensory technologies”, “algorithmic tools”. Selected sources: 114 out 336. Published research inspected: 2022–2024. PRISMA was reporting quality assessment tool. Dimensions VOSviewer were deployed as visualization tools. Findings & value added: Simulated augmented multi-sensory explainable decision support cloud-based robotic cooperation ambient intelligence deep learning-based analytics tools are instrumental in The necessitates connected enterprise reality-embedded twins.
Language: Английский
Citations
27
Journal of Manufacturing Technology Management, Journal Year: 2024, Volume and Issue: 35(9), P. 94 - 121
Published: May 27, 2024
Purpose This study offers practical insights into how generative artificial intelligence (AI) can enhance responsible manufacturing within the context of Industry 5.0. It explores manufacturers strategically maximize potential benefits AI through a synergistic approach. Design/methodology/approach The developed strategic roadmap by employing mixed qualitative-quantitative research method involving case studies, interviews and interpretive structural modeling (ISM). visualizes elucidates mechanisms which contribute to advancing sustainability goals Findings Generative has demonstrated capability promote various objectives 5.0 ten distinct functions. These multifaceted functions address multiple facets manufacturing, ranging from providing data-driven production enhancing resilience operations. Practical implications While each identified function independently contributes under 5.0, leveraging them individually is viable strategy. However, they synergistically other when systematically employed in specific order. Manufacturers are advised leverage these functions, drawing on their complementarities benefits. Originality/value pioneers early enhances performance framework. proposed suggests prioritization orders, guiding decision-making processes regarding where for what purpose integrate AI.
Language: Английский
Citations
24
Asia-Pacific Journal of Business Administration, Journal Year: 2024, Volume and Issue: unknown
Published: May 4, 2024
Purpose The study seeks to understand the possible opportunities that Industry 5.0 might offer for various aspects of inclusive sustainability. aims discuss existing perspectives on classification technologies and their underlying role in materializing sustainability values this agenda. Design/methodology/approach systematically reviewed literature based PRISMA protocol. further employed a detailed content-centric review eligible documents conducted evidence mapping fulfill research objectives. Findings advancement is currently underway, with noteworthy initial contributions enriching its knowledge base. Although unanimous definition remains lacking, diverse viewpoints emerge concerning recognition fundamental potential yielding sustainable outcomes. expected contribution varies significantly depending context nature technologies. Practical implications holds advancing at both firm supply chain levels. It envisioned contribute proportionately three dimensions. However, current discourse primarily dwells theoretical conceptual domains, lacking empirical exploration practical implications. Originality/value This comprehensively explores economic, environmental social Despite promise, supporting effectiveness limited. Certain conditions are necessary realize benefits fully, yet mechanisms behind these require investigation. In regard, suggests several areas future research.
Language: Английский
Citations
21
Technovation, Journal Year: 2024, Volume and Issue: 134, P. 103025 - 103025
Published: May 3, 2024
Industry 5.0 is on the horizon, but role of digital twins (DTs) as one its major technological enablers far from being understood. This article begins with a bibliometric analysis and systematic review, followed by discussion insights obtained literature through lens strong structuration theory. The results include description new paradigm future-oriented responsible physical-digital convergence, research agenda, proposal structure – agency (SA)–DT framework to guide advances in twins. A concept-centric used identify use cases, impacts, redesigned forms physical–digital interaction, challenges, changes both human non-human agents increasingly intertwined more advanced DT solutions. Moreover, this study reveals how can be deployed address, an integrated manner, three main pillars 5.0: human-centric, sustainable, resilient industry transformation. Practitioners may find our contribution helpful for their roadmaps, which require ample interaction society at all levels evidence practices current future generations.
Language: Английский
Citations
17
IEEE Transactions on Cybernetics, Journal Year: 2024, Volume and Issue: 54(5), P. 2683 - 2695
Published: March 21, 2024
Smart manufacturing has been transforming toward industrial digitalization integrated with various advanced technologies. Metaverse evolving as a next-generation paradigm of digital space extended and augmented by reality. In the metaverse, users are interconnected for virtual activities. consideration possibilities that may be brought it is envisioned metaverse should into smart to upgrade industry more visible, intelligent efficient production in future. Therefore, conceptual model, named IMverse Model, novel characteristics proposed this article. Besides, an architecture, Architecture, involving several key enabling Typical innovative applications throughout whole product life cycle presented insights. Nonetheless, prospect future, still faces limitations far from implementation. Thus, challenges open issues discussed, then outlook provided further research application.
Language: Английский
Citations
16
Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 765 - 765
Published: Jan. 27, 2025
This article focuses on the integration of Internet Things (IoT) and Robotic Things, representing a dynamic research area with significant potential for industrial applications. The (IoRT) integrates IoT technologies into robotic systems, enhancing their efficiency autonomy. provides an overview used in IoRT, including hardware components, communication technologies, cloud services. It also explores IoRT applications industries such as healthcare, agriculture, more. discusses challenges future directions, data security, energy efficiency, ethical issues. goal is to raise awareness importance demonstrate how this technology can bring benefits across various sectors.
Language: Английский
Citations
2
Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 130, P. 107697 - 107697
Published: Dec. 20, 2023
Language: Английский
Citations
29
IEEE Transactions on Systems Man and Cybernetics Systems, Journal Year: 2024, Volume and Issue: 54(11), P. 6522 - 6536
Published: Jan. 30, 2024
Since Manufacturing 4.0 faces various challenges, including the risks of data leakage and privacy violation, struggle to meet growing demand for personalization, limitations in harnessing human creativity, it has become crucial embark on a transformation toward 5.0. To this end, we propose DeFACT framework parallel manufacturing 5.0, which focuses safe, efficient personalized collaborative production. In DeFACT, different enterprises workers (i.e., digital, robotic biological workers) are organized, coordinated scheduled based decentralized autonomous organizations operations promote mutual benefits among members, even context low or zero trust. This contributes providing customers with higher-quality products services while ensuring confidentiality safeguarding data. Additionally, advanced technologies, such as generative artificial intelligence, scenarios engineering, blockchain, leveraged achieve trustworthy adaptable decision making, user-friendly human–machine interaction, federated control management workers. Finally, effectiveness efficiency experimentally validated through design implementation three case studies.
Language: Английский
Citations
13
Digital engineering., Journal Year: 2024, Volume and Issue: 2, P. 100013 - 100013
Published: Aug. 1, 2024
Since the concept of Industry 5.0 was proposed, emphasis on human–machine interaction (HMI) in industrial scenarios has continued to increase. HMI is part factory's development towards 5.0, mainly because can help realise human-centric vision. At same time, achieve sustainable and resilient goals proposed by green, smart, more advanced technologies are also considered important driving factors for factories 5.0. Human-centric smart manufacturing (HCSM) that integrate with expected become paradigm future manufacturing. Therefore, it necessary discuss research directions may promote implementation HCSM future. In a factory, signals will go through process being collected sensors, processed, transmitted data analysis centre output complete interaction. Based this process, we divide into four parts: sensor hardware, processing, transmission mechanism, collaboration. Through systematic literature review article evaluates summarises current field categorises them parts process. usage some relatively limited, introduction focuses possible applications problems they face. Finally, opportunities challenges revealed discussed.
Language: Английский
Citations
13