2018
DOI: 10.1016/j.procir.2017.12.265
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Intelligent value chain management framework for customized assistive healthcare devices

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Cited by 9 publications
(4 citation statements)
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“…As the study is focused only on SCP of equipment supply chain and medical devices, further research is required in the other domains of healthcare industry. 9 Landolfi, Menato, Sorlini, Valdata, Rovere, Fornasiero and Pedrazzoli [20] Proposes an intelligent value chain management framework for customised healthcare devices by focusing on the logic, data model, services, and optimization functions.…”
Section: Literature Reviewmentioning
confidence: 99%
“…As the study is focused only on SCP of equipment supply chain and medical devices, further research is required in the other domains of healthcare industry. 9 Landolfi, Menato, Sorlini, Valdata, Rovere, Fornasiero and Pedrazzoli [20] Proposes an intelligent value chain management framework for customised healthcare devices by focusing on the logic, data model, services, and optimization functions.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, some of these publications are also related to human healthcare. Some publications are not concerned with the digital twin of a human being; rather, they propose the digital twin of an emergency unit, for example, the system proposed in [15]; the twin of a hospital, such as the work proposed in [16]; or the twin of chain management of healthcare assisting devices, such as the work proposed in [17]. Other research discusses the digital twin in healthcare from an ethical perspective [18] and raises points, such as the potential societal benefits, and the potential inequality due to the notion that the technology may not be accessible for all.…”
Section: A Digital Twin For Health and Well-being Systemsmentioning
confidence: 99%
“…IS that promote inter-group knowledge exchange, and provide fast knowledge access as well as just in time learning, have an enabling role in knowledge management [4]. The DT with its central knowledge collection with regard to product, process, and master data [49] in specialized knowledge bases [28] also represents a central IS for knowledge management. This again shows that DT are conceptually close to PLM systems that are used today.…”
Section: Informationmentioning
confidence: 99%