1 Michigan State University, MBA supply Chain, Michigan, USA.
2 Auburn University, Department of Chemical Engineering, Alabama, USA.
3 New Mexico State University, Department of Economic, International Business, and Applied Statistics, New Mexico, USA.
4 University of Central Missouri, School of Technology, Missouri, USA.
5 Clarkson University, Department of Chemical Engineering, New York, USA.
Received on 21 May 2024; revised on 28 June 2024; accepted on 01 July 2024
The transition from a linear economy to a circular economy (CE) represents a profound shift in resource management practices, emphasizing sustainability and waste reduction as core principles. This review paper explores how digital transformation technologies, including Internet of Things (IoT), artificial intelligence (AI), blockchain, and big data, are integrated with circular economy principles within the manufacturing sector. It examines their roles in promoting sustainable manufacturing practices by optimizing resource use, improving efficiency, and reducing environmental impact. Through a comprehensive review of current literature and case studies, this paper elucidates the benefits, challenges, and future directions of adopting a circular economy approach in manufacturing, highlighting opportunities for innovation and sustainable growth.
Circular Economy; Digital Transformation; Internet of things (Iot); Artificial Intelligence (AI); Blockchain; Big Data; Sustainable manufacturing practices
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Usman Uzuagbe Mamudu, Chijioke Declan Obasi, Shallan Kwabla Awuye, Hayford Danso, Praise Ayodele and Paul Akinyemi. Circular economy in the manufacturing sector: Digital transformation and sustainable practices. International Journal of Science and Research Archive, 2024, 12(02), 129–141. Article DOI: https://doi.org/10.30574/ijsra.2024.12.2.1217
