Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/116675
Title: | An Evaluation Method for Digital Twin Development Platforms | Authors: | Monteiro, José Barata, João |
Issue Date: | 11-Sep-2024 | Publisher: | Springer | Project: | NEXUS: Innovation Pact Digital and Green Transition – Transports, Logistics and Mobility/C645112083-00000059 info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP/00326/2020 info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB/00326/2020 |
Serial title, monograph or event: | Extended Reality. XR Salento 2024. Lecture Notes in Computer Science | Volume: | 15027 | Abstract: | The Digital Twin (DT) offers an integrated solution for replicating physical (human and non-human) systems with monitoring capabilities and intelligent support for decision-making. Their popularity in academia and industry is growing, and different commercial and open-source development platforms are now available. However, there is a lack of detailed platform benchmarking studies and selection guidelines. This paper (1) identifies a portfolio of DT development platforms (DTDP) and (2) suggests a systematic method to evaluate them. Preliminary results of the method adoption are presented for a use case of a dry port DT deployment. This research will assist companies with their DTDP investments, presenting an assessment example for more complex DT deployment settings. | URI: | https://hdl.handle.net/10316/116675 | DOI: | 10.1007/978-3-031-71707-9_36 | Rights: | openAccess |
Appears in Collections: | FCTUC Eng.Informática - Livros e Capítulos de Livros |
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File | Description | Size | Format | |
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DTDP_XR2024_Repositorio.pdf | 306.72 kB | Adobe PDF | View/Open |
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