TY - JOUR
T1 - Enabling industry 4.0
T2 - Assessing technologies and prioritization framework for agile manufacturing in India
AU - Prajapati, Devendra Kumar
AU - Mathiyazhagan, K.
AU - Agarwal, Vernika
AU - Sunder M, Vijaya
AU - Khorana, Sangeeta
AU - Gunasekaran, Angappa
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/4/1
Y1 - 2024/4/1
N2 - This paper delves into the integration of Industry 4.0 technologies in the manufacturing sector, providing a framework tailored for adoption in India, a rapidly advancing digital economy. The current literature does not go into detail on industry 4.0 technology in the context of agile manufacturing. Addressing this critical gap in the literature, we identify 15 criteria across six categories, leveraging the entropy method to compute their weights. We prioritize Industry 4.0 technologies in the context of agile manufacturing using a comprehensive analysis that employs the TOPSIS and Fuzzy DEMATEL methodologies. Results indicate that cybersecurity, Cloud, and the Internet of Things (IoT) are the most commonly used technologies in agile manufacturing. The fuzzy DEMATEL-based framework identifies cybersecurity, Big data, Cloud, simulation, augmented reality, and IoT as ‘cause’ technologies, while additive manufacturing, robotics, mobile devices, and systems integration are identified as ‘effect’ technologies. The paper proposes practical strategies for managers in India to facilitate the adoption of Industry 4.0 technologies, thereby enhancing firms' agility in the digital age. By highlighting the specific technologies critical to agile manufacturing, our study not only addresses a notable gap in the literature but also provides a roadmap for their practical implementation, empowering businesses to thrive in an increasingly digitalized landscape.
AB - This paper delves into the integration of Industry 4.0 technologies in the manufacturing sector, providing a framework tailored for adoption in India, a rapidly advancing digital economy. The current literature does not go into detail on industry 4.0 technology in the context of agile manufacturing. Addressing this critical gap in the literature, we identify 15 criteria across six categories, leveraging the entropy method to compute their weights. We prioritize Industry 4.0 technologies in the context of agile manufacturing using a comprehensive analysis that employs the TOPSIS and Fuzzy DEMATEL methodologies. Results indicate that cybersecurity, Cloud, and the Internet of Things (IoT) are the most commonly used technologies in agile manufacturing. The fuzzy DEMATEL-based framework identifies cybersecurity, Big data, Cloud, simulation, augmented reality, and IoT as ‘cause’ technologies, while additive manufacturing, robotics, mobile devices, and systems integration are identified as ‘effect’ technologies. The paper proposes practical strategies for managers in India to facilitate the adoption of Industry 4.0 technologies, thereby enhancing firms' agility in the digital age. By highlighting the specific technologies critical to agile manufacturing, our study not only addresses a notable gap in the literature but also provides a roadmap for their practical implementation, empowering businesses to thrive in an increasingly digitalized landscape.
UR - http://www.scopus.com/inward/record.url?scp=85186598141&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85186598141&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2024.141488
DO - 10.1016/j.jclepro.2024.141488
M3 - Article
AN - SCOPUS:85186598141
SN - 0959-6526
VL - 447
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 141488
ER -