Forging the Future: Strategic Approaches to Quantum AI Integration for Industry Transformation

AI, Journal Year: 2024, Volume and Issue: 5(1), P. 290 - 323

Published: Jan. 29, 2024

The fusion of quantum computing and artificial intelligence (AI) heralds a transformative era for Industry 4.0, offering unprecedented capabilities challenges. This paper delves into the intricacies AI, its potential impact on necessary change management innovation strategies seamless integration. Drawing from theoretical insights real-world case studies, we explore current landscape foreseeable influence, implications organizational strategy. We further expound traditional tactics, emphasizing importance continuous learning, ecosystem collaborations, proactive approaches. By examining successful failed AI implementations, lessons are derived to guide future endeavors. Conclusively, underscores imperative being in embracing innovations, advocating strategic foresight, interdisciplinary collaboration, robust risk management. Through comprehensive exploration, this aims equip stakeholders with knowledge navigate complexities necessity preparedness adaptability.

Language: Английский

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Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 5251 - 5251

Published: June 20, 2024

The rapid advancement of technology has led to significant milestones in industrial progress, surpassing previous capabilities and presenting new challenges for adaptation. current phase revolutions is characterized by accelerated technological development, particularly automation digitalization. For instance, the global robotics market was valued at approximately USD 43.0 billion 2022 projected reach 70.6 2028. integration human labor alongside robotic machinery, though a tangible reality, may still seem abstract certain regions. Despite recent announcement fourth revolution, Industry 5.0 quickly emerged as standard toward which industries aspire. This study performs bibliometric analysis articles published between 2020 2023 that explores implications these two transition them. Using Clarivate Analytics’ Web Science Core Collection, identifies 154 using Biblioshiny package R, simultaneously discuss 4.0 within their titles, abstracts, or keywords. An impressive annual growth rate 119.47% among papers included dataset underlines interest research community this field. Additionally, key findings include identification prominent sources, prolific authors, highly cited content, well common themes explored across analyzed papers. Among most relevant sources terms number publications, journal Sustainability plays role, holding first position, followed Applied Sciences, Sensors. In motor themes, digital transformation, artificial intelligence, Internet Things, smart manufacturing have been found play role. As result, present contributes understanding evolution from 5.0, highlighting trends, influential research, emerging are shaping future advancements.

Language: Английский

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Digital twin for decarbonizing operating buildings: A systematic review and implementation framework development

Energy and Buildings, Journal Year: 2024, Volume and Issue: 320, P. 114567 - 114567

Published: July 22, 2024

Language: Английский

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A Bibliometric Analysis of Data-driven Technologies in Digital Supply Chains

Supply Chain Analytics, Journal Year: 2024, Volume and Issue: 6, P. 100067 - 100067

Published: May 21, 2024

Internet of Things (IoT) and Cyber-Physical Systems (CPS) are the core components data-driven technologies Industry 4.0, attracting much attention in digital supply chains leading to a growing tide academic publications. This study conducts bibliometric analysis chains. Additionally, some methods, such as co-word analysis, utilized intellectual structure field present big picture. The maps technologies' logistics. 3887 publications from Web Science (WoS) Scopus between 2010 2021 were collected analyzed. Then, strategic diagram is employed on co-occurrence network, indicating each theme's current situation two aspects applicability theory development. reveals that IoT CPS their infancy logistics, additional studies needed fill research gaps this field.

Language: Английский

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Ai-Enabled Sustainable Supply Chain in Industry 5.0: A Bibliometric Analysis

Published: Jan. 1, 2025

This study aims to examine the comprehensive understanding of scientific contributions made in AI-enabled sustainable supply chain (SC) research within framework Industry 5.0, unravel its prevailing themes, and establish a future agenda. analysis incorporates 146 articles on this topic, published from 2014 2024 indexed Scopus database. A bibliometric approach was used systematically analyze these publications, incorporating performance science mapping techniques. The findings reveal that core themes SC 5.0 include management, advanced technology integration enhance manufacturing efficiency, digitalization-driven industrialization. Emerging address AI technologies processes, supporting industrial development conceptualization an paradigm. serves as critical resource for academics, scholars, industry practitioners exploring chains.

Language: Английский

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Integrating circular economy while adopting digital twin for enhancing logistics efficiency: a hybrid Fuzzy Delphi-FUCOM based approach

International Journal of Logistics Research and Applications, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 43

Published: Jan. 18, 2025

Language: Английский

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Digital Twin-Based Prediction and Optimization for Dynamic Supply Chain Management

Machines, Journal Year: 2025, Volume and Issue: 13(2), P. 109 - 109

Published: Jan. 29, 2025

Manufacturing supply chains are becoming increasingly complex due to geopolitical issues, globalization, and market demand uncertainties. These challenges lead logistics disruptions, inventory shortages, interruptions in raw materials spare parts production, resulting delayed delivery, reduced share, lower customer satisfaction. Effective chain management is critical for improving operational efficiency competitiveness. This paper proposes a digital twin methodology enhance through real-time monitoring, analysis, response disruptions. defines system architecture outlines the process of applications. It introduces two key modules: module prediction monitoring an optimization determining optimal movement products. modules integrated align simulations with real-world operations. The proposed approach validated case study automobile body production company’s chain, demonstrating its effectiveness reducing costs while providing countermeasures abnormal situations.

Language: Английский

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Fusion of Blockchain and Industry 4.0: A Bibliometric Analysis and Detailed Review

Operations Research Forum, Journal Year: 2025, Volume and Issue: 6(1)

Published: Feb. 1, 2025

Language: Английский

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The role of smart technologies in managing supply chain post pandemic: an exploratory scientific procedures and rationales for systematic literature review

Journal of Science and Technology Policy Management, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 17, 2024

Purpose The COVID-19 pandemic has brought unprecedented disruptions to global supply chains, compelling organizations reevaluate their strategies for resilience and adaptability. In response, smart technologies (ST) have emerged as integral tools in post-pandemic chain management (SCM). This study aims conduct an exploratory systematic literature review comprehensively examine the evolving landscape of technology adoption context SCM post-pandemic. Design/methodology/approach A been conducted potential research contribution or directions field ST SCM. total, 240 articles were shortlisted from SCOPUS database chosen research. Bibliometric analysis was by using VOSviewer investigate trends area Findings identifies key themes trends, including resilience, digital transformation, enhanced visibility, predictive analytics sustainability considerations. It explores role fostering agility, transparency risk mitigation within chains. Furthermore, eight clusters identified generate several thematic topics results evidenced a strong gap related Industry 5.0 approaches field. total publications, journal articles, found literature. 37 words, which grouped 8 clusters, data analysis. Research limitations/implications By synthesizing current state literature, this provides valuable insights practitioners, policymakers researchers seeking navigate complexities increasingly digitized interconnected world. findings highlight transformative offer roadmap further exploration critical domain. Originality/value paper, development path during constructs are presented based on bibliometric method.

Language: Английский

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Promoting or inhibiting? Digital supply chain impacts on firm performance in Industry 4.0: implication to circular supply chain strategy

International Journal of Logistics Research and Applications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: May 23, 2024

Digital supply chain (DSC) is regarded as a sustainable that manages resources and reduces waste, attracting widespread attention in circular chains (CSC). However, it's not clear whether DSC predominantly facilitates or inhibits firm performance Industry 4.0 amidst disruption ambidexterity. This study based on data from A-share listed companies the past 10 years, exploring impact mechanism of development growth CSC strategy to examine governance boundary conditions. The concludes this influence dependent government support. Data-driven strategies help identify inefficiency challenges risks, providing empirical evidence for results indicate has significant promoting effect performance, towards drives firms' performance.

Language: Английский

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