2018 International Conference on Intelligent Systems (IS) 2018
DOI: 10.1109/is.2018.8710554
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Exploiting the Digital Twin in the Assessment and Optimization of Sustainability Performances

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Cited by 49 publications
(32 citation statements)
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References 27 publications
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“…From the analysis of the main trend about how digitalization affects the product lifetime and the extension of machinery and equipment, 21 papers were selected. The possible role of digitalization on the sustainability concept was already investigated by [96], even though more focalizing on sustainability assessment and optimization of environmental performances. The literature review here presented is on the contrary more focused on its role for CE and life cycle extension.…”
Section: Recyclementioning
confidence: 99%
“…From the analysis of the main trend about how digitalization affects the product lifetime and the extension of machinery and equipment, 21 papers were selected. The possible role of digitalization on the sustainability concept was already investigated by [96], even though more focalizing on sustainability assessment and optimization of environmental performances. The literature review here presented is on the contrary more focused on its role for CE and life cycle extension.…”
Section: Recyclementioning
confidence: 99%
“…The number of relevant case studies is still limited 106–108 . In contrast to a variety of use cases that primarily focus on the demonstration of interoperability, root cause analysis, product quality monitoring and service‐oriented business models, 118 119,129 Barni et al developed a DT‐based LCA framework that represents a semi‐modular, modular, and scalable sustainability assessment and optimization tool 22 . While the authors clearly focused on interoperability of sustainability performance data, collection of relevant data and LCA assessment, the approach did not address the other requirements of sustainable ecology‐oriented industrial production.…”
Section: State Of Research and Standardizationmentioning
confidence: 99%
“…[106][107][108] In contrast to a variety of use cases that primarily focus on the demonstration of interoperability, root cause analysis, product quality monitoring and service-oriented business models, 118 119,129 Barni et al developed a DT-based LCA framework that represents a semi-modular, modular, and scalable sustainability assessment and optimization tool. 22 While the authors clearly focused on interoperability of sustainability performance data, collection of relevant data and LCA assessment, the approach did not address the other requirements of sustainable ecology-oriented industrial production. Nevertheless, the authors note that research in this field is only just beginning and outline three essential steps to bring DT and sustainability together: intensification of automated sustainability data collection, DT data management and smart sustainability service analysis.…”
Section: State Of Research and Standardizationmentioning
confidence: 99%
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“…From this perspective, processes dominated by smart entities will reduce material waste and energy consumption. This has been demonstrated for a number of emerging technologies including the application of digitalization (e.g., digital twins) for energy efficiency and sustainable performance improvement [164,165], cloud manufacturing for discrete part and process industry [166][167][168], and the potential for additive manufacturing to improve material and energy efficiency [169,170].…”
Section: Smart Manufacturing For Process Waste and Energymentioning
confidence: 99%