TY - GEN
T1 - Utilizing Fourth Industrial Revolution Technologies to Attain Quality Benchmarks in Manufacturing
AU - Sithole, Busisiwe
AU - Sukdeo, Nita
AU - Mukwakungu, Sambil Charles
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - In this paper, we delve into the transformative effects of the Fourth Industrial Revolution (4IR) technologies within the steel sector by closely examining two pioneering companies in South Africa. Through a blend of quantitative and qualitative methods, insights were garnered from 31 industry experts, shedding light on the adoption and impact of IoT, robotics, AI, big data analytics, and cloud computing on manufacturing practices. Our investigation not only maps out the landscape of 4IR technologies but also uncovers a genuine eagerness among the sector to embrace these advancements, underpinning a readiness to leap into the future of industrial innovation. We critically evaluate the advantages and hurdles of integrating these technologies, with a focus on their role in streamlining operations, reducing costs, bolstering competitiveness, and enhancing customer satisfaction. However, the study’s scope, limited by its focus on a small sample within a specific locale, calls for a broader inquiry to fully grasp the potential and challenges of 4IR technologies across the manufacturing spectrum. This research paves the way for further exploration, emphasizing the necessity for more extensive, varied, and sector-focused studies. Our findings serve as a cornerstone for ongoing dialogue on the evolution of manufacturing technologies, offering a roadmap for future research and practical application in the quest for manufacturing excellence.
AB - In this paper, we delve into the transformative effects of the Fourth Industrial Revolution (4IR) technologies within the steel sector by closely examining two pioneering companies in South Africa. Through a blend of quantitative and qualitative methods, insights were garnered from 31 industry experts, shedding light on the adoption and impact of IoT, robotics, AI, big data analytics, and cloud computing on manufacturing practices. Our investigation not only maps out the landscape of 4IR technologies but also uncovers a genuine eagerness among the sector to embrace these advancements, underpinning a readiness to leap into the future of industrial innovation. We critically evaluate the advantages and hurdles of integrating these technologies, with a focus on their role in streamlining operations, reducing costs, bolstering competitiveness, and enhancing customer satisfaction. However, the study’s scope, limited by its focus on a small sample within a specific locale, calls for a broader inquiry to fully grasp the potential and challenges of 4IR technologies across the manufacturing spectrum. This research paves the way for further exploration, emphasizing the necessity for more extensive, varied, and sector-focused studies. Our findings serve as a cornerstone for ongoing dialogue on the evolution of manufacturing technologies, offering a roadmap for future research and practical application in the quest for manufacturing excellence.
KW - Advanced technologies
KW - Fourth industrial revolution (4IR)
KW - Manufacturing performance
KW - Quality control
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=86000189288&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-72494-7_38
DO - 10.1007/978-3-031-72494-7_38
M3 - Conference contribution
AN - SCOPUS:86000189288
SN - 9783031724930
T3 - Springer Proceedings in Business and Economics
SP - 383
EP - 391
BT - Human-Centred Technology Management for a Sustainable Future - Volume 2
A2 - Zimmermann, Ricardo
A2 - Rodrigues, José Coelho
A2 - Rodrigues, José Coelho
A2 - Simoes, Ana
A2 - Dalmarco, Gustavo
PB - Springer Nature
T2 - 33rd International Association for the Management of Technology Conference, IAMOT 2024
Y2 - 8 July 2024 through 11 July 2024
ER -