Digital twin for smart manufacturing equipment: modeling and applications DOI
Xuehao Sun, Fengli Zhang, Jinjiang Wang

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Language: Английский

The Integration of Additive Manufacturing into Industry 4.0 and Industry 5.0: A Bibliometric Analysis (Trends, Opportunities, and Challenges) DOI Creative Commons
Shayan Dehghan, Sasan Sattarpanah Karganroudi,

Saïd Echchakoui

et al.

Machines, Journal Year: 2025, Volume and Issue: 13(1), P. 62 - 62

Published: Jan. 16, 2025

This bibliographic analysis explores the evolving landscape of additive manufacturing (AM) in context Industry 4.0 and emerging paradigms 5.0. research critically examines key literature scholarly works to clarify evolution, challenges, opportunities presented by integrating AM technologies with digital transformation advanced industrial practices. The exploration begins tracing foundational concepts 4.0, emphasizing role cyber–physical systems, data analytics, automation reshaping ecosystems. It then moves developments 5.0, focusing on human-centric approaches, collaborative robotics, sustainable strategies that extend beyond automation. impact across various sectors, from aerospace automotive industries healthcare consumer goods, is central this analysis. article synthesizes empirical studies, case analyses, theoretical frameworks discern synergies, prospects into Through journey, readers gain insights transformative potential as a catalyst for innovation, agility, sustainability age. findings underscore need interdisciplinary collaborations, policy frameworks, technological advancements harness AM’s full within

Language: Английский

Citations

2

A Framework for Integrating Vision Transformers with Digital Twins in Industry 5.0 Context DOI Creative Commons
Attila Kővári

Machines, Journal Year: 2025, Volume and Issue: 13(1), P. 36 - 36

Published: Jan. 7, 2025

The transition from Industry 4.0 to 5.0 gives more prominence human-centered and sustainable manufacturing practices. This paper proposes a conceptual design framework based on Vision Transformers (ViTs) digital twins, meet the demands of 5.0. ViTs, known for their advanced visual data analysis capabilities, complement simulation optimization capabilities which in turn can enhance predictive maintenance, quality control, human–machine symbiosis. applied is capable analyzing multidimensional data, integrating operational streams real-time tracking application decision making. Its main characteristics are anomaly detection, analytics, adaptive optimization, line with objectives sustainability, resilience, personalization. Use cases, including maintenance demonstrate higher efficiency, waste reduction, reliable operator interaction. In this work, emergent role ViTs twins development intelligent, dynamic, human-centric industrial ecosystems discussed.

Language: Английский

Citations

1

Human-robot collaborative disassembly in Industry 5.0: A systematic literature review and future research agenda DOI
Gang Yuan, Xiaojun Liu, Qiu Xiao-li

et al.

Journal of Manufacturing Systems, Journal Year: 2025, Volume and Issue: 79, P. 199 - 216

Published: Jan. 27, 2025

Language: Английский

Citations

1

Leveraging Artificial Intelligence (AI) for Resilience in Industry 5.0 DOI
Tunde Toyese Oyedokun,

James Aransiola Ishola

Advances in business strategy and competitive advantage book series, Journal Year: 2025, Volume and Issue: unknown, P. 35 - 68

Published: Jan. 31, 2025

The incorporation of Artificial Intelligence (AI) within Industry 5.0 significantly enhances resilience among small businesses. This chapter explores how AI transforms resilience, sustainability, and customer engagement strategies. With Small businesses can analyze large datasets to identify risks, optimize operations, deliver personalized experiences that align with consumer expectations. AI's ability process data efficiently allows anticipate market changes navigate uncertainties. Additionally, adopting fosters a culture encouraging employees embrace change. also supports sustainable practices by optimizing resource use reducing waste. Customer improves through AI-driven personalization, allowing tailor products services individual preferences. concludes recommendations for businesses: invest in employee training collaboration, ensure leadership commitment, prioritize foster adaptability thrive today's 5.0.

Language: Английский

Citations

1

Comparison of Single-Arm and Dual-Arm Collaborative Robots in Precision Assembly DOI Creative Commons
Katarzyna Peta, Marcin Wiśniewski,

Mikołaj Kotarski

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 2976 - 2976

Published: March 10, 2025

The aim of the study is a multi-criteria comparative evaluation robots cooperating with humans in single- and dual-arm variants used for process precise assembly complex parts. RobotStudio simulation software Signal Analyzer add-on was analyses. These studies were conducted as case studies. A robotic station designed computer motherboard two robot programmed to perform task while maintaining same motion parameters functions both. Then, TCP trajectories associated analyzed, well monitoring signals from controller during simulation, such time, speed, acceleration energy consumption. costs profitability also calculated. percentage share tasks performed divided into free movements. differences between this include 21 s single-arm versus 14 robots. main influence on achieving speed length robot’s path. In most cases, maximum 200 mm/s achieved. proved be more energy-efficient, but 20% faster, which long run profitable robot. paid off after eight months operation. presented paper, assembling using collaborative robots, provides guide conducting similar analyses different stations. Simulations enabled reliable verification technological processes, supporting design production processes analysis several solutions.

Language: Английский

Citations

1

From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector DOI Creative Commons
Abdo Hassoun, Sandeep Jagtap, Hana Trollman

et al.

Comprehensive Reviews in Food Science and Food Safety, Journal Year: 2024, Volume and Issue: 23(6)

Published: Oct. 22, 2024

Abstract Although several food‐related fields have yet to fully grasp the speed and breadth of fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that 5.0 (referring fifth revolution) is already underway. Food 4.0 has been characterized by fusion physical, digital, biological advances in food science technology, whereas future could be seen a more holistic, multidisciplinary, multidimensional approach. This review will focus on identifying potential enabling technologies harnessed shape coming years. We state‐of‐the‐art studies use innovative various agriculture applications over last 5 In addition, opportunities challenges highlighted, directions conclusions drawn. Preliminary evidence suggests outcome an evolutionary process not revolution, often claimed. Our results show regenerative and/or conversational artificial intelligence, Internet Everything, miniaturized nanosensors, 4D printing beyond, cobots advanced drones, edge computing, redactable blockchain, metaverse immersive techniques, cyber‐physical systems, digital twins, sixth‐generation wireless beyond are likely among main driving 5.0. framework, vision, value becoming popular research topics academic fields, agri‐food sector just started embrace some aspects dimensions

Language: Английский

Citations

8

Human-Centric Collaboration and Industry 5.0 Framework in Smart Cities and Communities: Fostering Sustainable Development Goals 3, 4, 9, and 11 in Society 5.0 DOI Creative Commons
Amr Adel,

Noor HS Alani

Smart Cities, Journal Year: 2024, Volume and Issue: 7(4), P. 1723 - 1775

Published: July 5, 2024

The necessity for substantial societal transformations to meet the Sustainable Development Goals (SDGs) has become more urgent, especially in wake of COVID-19 pandemic. This paper examines critical role disruptive technologies, specifically Industry 5.0 and Society 5.0, driving sustainable development. Our research investigation focuses on their impact product development, healthcare innovation, pandemic response, development nature-inclusive business models smart cities. We analyze how these technologies influence SDGs 3 (Good Health Well-Being), 4 (Quality Education), 9 (Industry, Innovation, Infrastructure), 11 (Sustainable Cities Communities). By integrating concepts into cities, we propose a coordinated framework enhance achievement goals. Additionally, provide SWOT analysis evaluate this approach. study aims guide industrialists, policymakers, researchers leveraging technological advancements SDGs.

Language: Английский

Citations

7

The research landscape of industry 5.0: a scientific mapping based on bibliometric and topic modeling techniques DOI Creative Commons
Abderahman Rejeb, Karim Rejeb, Imen Zrelli

et al.

Flexible Services and Manufacturing Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 30, 2024

Abstract Industry 5.0 (I5.0) marks a transformative shift toward integrating advanced technologies with human-centric design to foster innovation, resilient manufacturing, and sustainability. This study aims examine the evolution collaborative dynamics of I5.0 research through bibliometric analysis 942 journal articles from Scopus database. Our findings reveal significant increase in research, particularly post-2020, yet highlight fragmented collaboration networks noticeable gap between institutions developed developing countries. Key thematic areas identified include human-robot collaboration, data management security, AI-driven sustainable practices. These insights suggest that more integrated approach is essential for advancing I5.0, calling strengthened global collaborations balanced emphasis on both technological elements fully realize its potential driving industrial provides first comprehensive offering valuable researchers practitioners.

Language: Английский

Citations

6

A human-centric methodology for the co-evolution of operators’ skills, digital tools and user interfaces to support the Operator 4.0 DOI Creative Commons
Fabio Grandi,

Contini Giuditta,

Margherita Peruzzini

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2024, Volume and Issue: 91, P. 102854 - 102854

Published: Aug. 15, 2024

The concept of Operator 4.0 has been recently defined to evolve the modern industrial scenarios by defining a knowledge sharing process from/to operators and systems, creating personalized skills, introducing digital tools towards socially sustainable factories. In this context, dynamic adaptive user interfaces can make humans part intelligent factory system, supporting human work contextually providing specific contents when needed, preserving wellbeing. This paper defines human-centric methodology for symbiotic co-evolution operators' assistive interfaces, developed within Horizon Europe project titled "DaCapo - Digital assets Circular value chains manufacturing products". focuses on new set services industry capable boosting application circular economy (CE) throughout chains. proposed link needs an case definition most proper functionalities drive design adaptive, proactive 4.0. method applied validated one use cases, involving company operating in warehousing logistics.

Language: Английский

Citations

5

A Method to Evaluate the Maturity Level of Robotization of Production Processes in the Context of Digital Transformation—Polish Case Study DOI Creative Commons
M. Hetmańczyk

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(13), P. 5401 - 5401

Published: June 21, 2024

This paper puts forth a systematic approach to evaluating the maturity level of robotization production processes in context digital transformation for manufacturing companies. The method was developed address absence sector-specific framework assessing growth, line with Industry 5.0 guidelines (incorporating sustainability, circular economy, and human-centeredness). survey covers six core areas companies: automation processes, digitization warehouse flexibility intralogistics, end-to-end integration key data management processes. study aimed advance digitalization through improved maturity. surveyed 200 small medium-sized businesses operating Poland from 2022 2024. presents assess enterprise operational maturity, covering current planned levels development plans next three years.

Language: Английский

Citations

4