TY - GEN
T1 - Advancing Sustainable Manufacturing
T2 - IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2025
AU - Malomane, Mammolele
AU - Medoh, Chuks
AU - Pretorius, Jan Harm
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Sustainable manufacturing is undergoing a significant transformation driven by Industry 4.0 technologies. This study explores the evolving intersection of Life Cycle Assessment (LCA) and digital innovations (Industry 4.0 Technologies) which enable more dynamic, transparent, and responsive sustainability assessments across product life cycles. A bibliometric analysis of over 123 peer-reviewed publications (2016-2025) reveals an expanding research landscape focused on smart manufacturing, data-driven LCA, and circular economy transitions, while also revealing persistent fragmentation, integration challenges, and a lack of standardization. To address these gaps, the study proposes key strategies such as developing interoperable digital platforms, leveraging blockchain for traceability, and using digital LCA twins for real-time environmental performance modeling. It underscores the importance of empirical validation through industry-specific case studies and the creation of standardized, scalable frameworks to enhance practical adoption. By bridging academic insight with industrial application, this research advances the theoretical foundation and real-world impact of digital LCA integration in sustainable manufacturing.
AB - Sustainable manufacturing is undergoing a significant transformation driven by Industry 4.0 technologies. This study explores the evolving intersection of Life Cycle Assessment (LCA) and digital innovations (Industry 4.0 Technologies) which enable more dynamic, transparent, and responsive sustainability assessments across product life cycles. A bibliometric analysis of over 123 peer-reviewed publications (2016-2025) reveals an expanding research landscape focused on smart manufacturing, data-driven LCA, and circular economy transitions, while also revealing persistent fragmentation, integration challenges, and a lack of standardization. To address these gaps, the study proposes key strategies such as developing interoperable digital platforms, leveraging blockchain for traceability, and using digital LCA twins for real-time environmental performance modeling. It underscores the importance of empirical validation through industry-specific case studies and the creation of standardized, scalable frameworks to enhance practical adoption. By bridging academic insight with industrial application, this research advances the theoretical foundation and real-world impact of digital LCA integration in sustainable manufacturing.
KW - Bibliometric Analysis
KW - Industry 4.0
KW - Life Cycle Assessment
KW - Sustainable Manufacturing
UR - https://www.scopus.com/pages/publications/105037155475
U2 - 10.1109/ICECET63943.2025.11472508
DO - 10.1109/ICECET63943.2025.11472508
M3 - Conference contribution
AN - SCOPUS:105037155475
T3 - International Conference on Electrical, Computer, and Energy Technologies, ICECET 2025
BT - International Conference on Electrical, Computer, and Energy Technologies, ICECET 2025
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 July 2025 through 6 July 2025
ER -