Advancing Food Manufacturing: Leveraging Robotic Solutions for Enhanced Quality Assurance and Traceability Across Global Supply Networks

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 153, P. 104705 - 104705

Published: Sept. 10, 2024

Language: Английский

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Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis

Sci, Journal Year: 2024, Volume and Issue: 6(4), P. 60 - 60

Published: Oct. 3, 2024

This study explores the evolution and impact of research on challenges opportunities in implementation artificial intelligence (AI) manufacturing between 2019 August 2024. By addressing growing integration AI technologies sector, seeks to provide a comprehensive view how applications are transforming production processes, improving efficiency, opening new business opportunities. A bibliometric analysis was conducted, examining global scientific production, influential authors, key sources, thematic trends. Data were collected from Scopus, detailed review publications carried out identify knowledge gaps unresolved questions. The results reveal steady increase related manufacturing, with strong focus automation, predictive maintenance, supply chain optimization. also highlights dominance certain institutions authors driving this field research. Despite progress, significant remain, particularly regarding scalability solutions ethical considerations. findings suggest that while holds considerable potential for industry, more interdisciplinary is needed address existing maximize its benefits.

Language: Английский

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The Relevance of Sectoral Clustering in Corporate Debt Policy: The Case Study of Slovak Enterprises

Administrative Sciences, Journal Year: 2024, Volume and Issue: 14(2), P. 26 - 26

Published: Jan. 30, 2024

The processing and transformation of natural resources into completed semi-finished products is the primary function industry in each nation’s economy. There no denying significance sectoral classification economy, but slow development extension one could have resulted advancement other sectors that are now a part contemporary communities. Since there statistically significant differences between various industries, numerous authors currently investigating impact on financial structure firms, revealing as crucial determinant corporate indebtedness. Thus, main aim this study to determine debt level sample 4237 enterprises operating market period 2018–2021 from using eight indicators, well identify relationships them, which may help reveal with homogeneous patterns indebtedness (using cluster analysis) thus understand most stable independent. Kruskal–Wallis test then used if calculated ratios related economic sector. Based results, it can be concluded choice significantly influenced by industry. Financial performance indicators quantitative statistics assess, monitor, forecast company or health. They act instruments for business insiders outsiders assess company’s performance, particularly comparison competitors, pinpoint its strengths weaknesses, making outputs important all types stakeholders.

Language: Английский

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Cognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative artificial intelligence and cyber–physical manufacturing systems in the immersive industrial metaverse

Equilibrium Quarterly Journal of Economics and Economic Policy, Journal Year: 2024, Volume and Issue: 19(3), P. 719 - 748

Published: Sept. 27, 2024

Research background: Connected Internet of Robotic Things (IoRT) and cyber-physical process monitoring systems, industrial big data real-time event analytics, machine deep learning algorithms articulate digital twin smart factories in relation to learning-assisted planning, (IoT)-based production logistics, enterprise resource coordination. cooperative behaviors 3D assembly operations collaborative environments require ambient environment geospatial simulation tools, computer vision spatial mapping algorithms, generative artificial intelligence (AI) planning software. Flexible cloud computing necessitate sensing actuation capabilities, cognitive visualization sensor fusion image recognition technologies so as lead tangible business outcomes. Purpose the article: We show that AI cyber–physical manufacturing fog edge task scheduling are instrumental interactive economics metaverse. Generative AI-based metaverse develops on IoRT management multi-sensory extended reality modeling technologies, for data-driven decision-making processes. Virtual reinforcement autonomous virtual equipment learning-based object detection can be leveraged networked immersive processing. Methods: Evidence appraisal checklists citation software deployed justifying inclusion or exclusion reasons collection analysis comprise: Abstrackr, Colandr, Covidence, EPPI Reviewer, JBI-SUMARI, Rayyan, RobotReviewer, SR Accelerator, Systematic Review Toolbox. Findings & value added: Modal actuators sensors, robot trajectory computational systems enable scalable computation processes environments. Ambient remote cloud-based robotic cooperation improve IoT-based logistics multi-agent controls factories. Context acquisition shape path lines, collision-free motion coordinated unpredictable perception tasks, increasing economic performance. This collective writing cumulates debates upon most recent relevant literature twin-based Things, by use evidence

Language: Английский

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Digital twin-based cyber-physical manufacturing systems, extended reality metaverse enterprise and production management algorithms, and Internet of Things financial and labor market technologies in generative artificial intelligence economics

Oeconomia Copernicana, Journal Year: 2024, Volume and Issue: 15(3), P. 837 - 870

Published: Sept. 30, 2024

Research background: Generative artificial intelligence (AI) and machine learning algorithms support industrial Internet of Things (IoT)-based big data enterprise asset management in multiphysics simulation environments by processing, modeling, monitoring, enabling business organizational managerial practices. Machine learning-based decision edge generative AI sensing systems can reduce persistent labor shortages job vacancies power productivity growth market dynamics, shaping career pathways facilitating occupational transitions skill gap identification labor-intensive manufacturing automation path planning spatial cognition algorithms, furthering theoretical implications for sciences. fintech, behavioral analytics assist multi-layered payment transaction processing screening with regard to authorized push payment, account takeover, synthetic identity frauds, flagging suspicious activities combating economic crimes rigorous verification processes. Purpose the article: We show that device functionalities cloud IoT virtual robotic technologies configure plant production route processes across cyber-physical multi-cloud immersive 3D environments, leading tangible outcomes reinforcement convolutional neural networks. Labor-augmenting impact employment participation, increase wage wealth inequality, lead potential displacement massive disruptions. The deep capabilities fintech terms adaptive credit scoring mechanisms enhance financial behaviors algorithmic trading returns, identify fraudulent transactions swiftly, improve forecasts, customized investment recommendations well-informed decisions. Methods: study selection process text mining systematic review software tools leveraged include Abstrackr, CADIMA, Colandr, DistillerSR, EPPI-Reviewer, JBI SUMARI, METAGEAR package R, SluRp, SWIFT-Active Screener. Such reference are harnessed methodologically evidence synthesis, characteristic extraction, predictive document classification, citation record screening, bias assessment, article retrieval automation, classification prioritization. Findings & value added: Industrial augmented reality create streamlining product remote extended reality-based navigation autonomous smart factory articulating level theory implications. operational modeling execute complete complex cognitive task-oriented knowledge economy jobs, producing first-rate quality outputs swiftly while unemployment spells, disruptions, losses, reduced earnings clustering algorithms. decentralized finance, interoperable blockchain networks, cash flow tools, tokenization mitigate fraud risks, enable digital fund crypto investing servicing, automate treasury operations integrating real-time capabilities, routing configurable workflows, lending technologies.

Language: Английский

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A Meta-Analysis of Innovation Management in Scientific Research: Unveiling the Frontier

Systems, Journal Year: 2024, Volume and Issue: 12(4), P. 130 - 130

Published: April 9, 2024

Innovation is a critical element in numerous domains, especially when it comes to determining the course of business success via efficient innovation management systems. The objective this study determine which category has greatest impact on effectiveness by analyzing correlation and its associated activities performance companies. This synthesizes empirical research findings regarding relationship between through utilization meta-analysis. In recent decades, meta-analysis gained significant prominence as method improve precision results integrating multiple studies into comprehensive analysis. Systematic reviews meta-analyses enhance credibility outcomes due their status most dependable forms evidence. A noteworthy observed categories, with small medium-sized enterprises (SMEs) exhibiting strongest correlation. Significantly, organizational innovations demonstrate coefficient, indicating that they have performance. highlights significance effectively addressing enterprise challenges promoting success. It specifically emphasizes role play facilitating

Language: Английский

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Tech Business Analytics in Quaternary Industry Sector

International Journal of Case Studies in Business IT and Education, Journal Year: 2024, Volume and Issue: unknown, P. 69 - 159

Published: April 19, 2024

Purpose: The knowledge-based segment of the economy is referred to as "quaternary sector," which comprises businesses like information technology, telecommunications, research and development, other professional services. Businesses in this industry may find that technology-driven business analytics greatly aids helping them make data-driven decisions, optimize workflows, enhance overall performance. Utilizing technology analyse can significantly improve market trends, consumer behaviour, an organization's operational Through analysis data, companies more informed decisions support expansion competitiveness. Analytics tools assist identifying inefficiencies their processes operations so they changes reduce expenses, boost output, ultimately revenue. Customer loyalty satisfaction rise a result this. Information regarding emerging technologies integration with data science prediction trends could present chances for growth innovation. Methodology: There are particular potential challenges Quaternary sector because its emphasis on activities, innovation, cutting-edge technology. Here, we methodical strategy using industry, allowing obtain useful long-term planning calculations. This approach gives framework utilizing analytics. helps competitive advantages increasingly environment by access important insights spur Findings/Result: study looks at how digital have been used control from birth present. Originality/Value: An explanation tech differs traditional within industry. It also includes general design be technical purposes, it examines thirty recently submitted recommendations related Tech Business industries. Paper Type: Exploratory research.

Language: Английский

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The role of knowledge and interpersonal competences in the development of civic and public engagement and entrepreneurial intention

International Entrepreneurship and Management Journal, Journal Year: 2023, Volume and Issue: 20(1), P. 189 - 213

Published: Oct. 14, 2023

Language: Английский

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Innovative Machine Learning Approaches for Complexity in Economic Forecasting and SME Growth: A Comprehensive Review

Journal of Economy and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Advancing smart transportation: A review of computer vision and photogrammetry in learning-based dimensional road pavement defect detection

Computer Science Review, Journal Year: 2025, Volume and Issue: 56, P. 100729 - 100729

Published: Jan. 22, 2025

Language: Английский

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