Prospects of digital twin for dynamic life cycle assessment of smart manufacturing systems
Madarkar, Rajeshkumar and Luo, Xichun and Walker, Charles and Puthanveettil Madathil, Abhilash and Liu, Qi (2024) Prospects of digital twin for dynamic life cycle assessment of smart manufacturing systems. MATEC Web of Conferences, 401. 13006. ISSN 2261-236X (https://doi.org/10.1051/matecconf/202440113006)
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Abstract
Smart manufacturing systems are poised to revolutionize industrial processes by leveraging advanced technologies for increased efficiency and productivity. However, alongside these advancements, there is a growing imperative to address environmental sustainability concerns. Conventional static life cycle assessment (LCA) methods often provide valuable insights into the environmental impacts of such manufacturing systems but often fall short in capturing real-time data and dynamic system interactions. Further, using the digital twin technology, physical assets can be virtually replicated in order to monitor, evaluate, and improve the particular manufacturing system. The dynamic properties can be effectively brought to LCA investigations by utilizing this technique. This paper explores the prospects of integrating digital twin technology for facilitating the dynamic LCA to enable comprehensive and timely environmental performance evaluation of smart manufacturing systems. We discuss the concepts, technological components, and potential applications of digital twin-enabled dynamic LCA, along with challenges and future research directions.
ORCID iDs
Madarkar, Rajeshkumar, Luo, Xichun ORCID: https://orcid.org/0000-0002-5024-7058, Walker, Charles, Puthanveettil Madathil, Abhilash ORCID: https://orcid.org/0000-0001-5655-6196 and Liu, Qi ORCID: https://orcid.org/0000-0002-1960-7318;-
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Item type: Article ID code: 90503 Dates: DateEvent27 August 2024Published1 August 2024AcceptedSubjects: Technology > Manufactures Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 06 Sep 2024 11:05 Last modified: 06 Oct 2024 00:43 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/90503