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2024 | OriginalPaper | Chapter

Interoperability Assessment Model in Industrial Maintenance According to Digital Twin Concept Based on Multicriteria Decision Support Methods

Authors : Alexandre Helmann, Ricardo Pacheco Leal Junior, Lucas Raduy Gomes de Camargo, Leonnardo Massimo Tiepolo, Fernando Deschamps, Eduardo de Freitas Rocha Loures

Published in: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems

Publisher: Springer Nature Switzerland

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Abstract

This chapter delves into the integration of Digital Twin concepts within industrial maintenance, focusing on the Industry 4.0 paradigm. It discusses the importance of interoperability for predictive maintenance models and evaluates the compatibility between the RAMI 4.0 and DTaaS architectures. The use of multicriteria decision support methods, such as AHP and PROMETHEE II, is highlighted to assess functional requirements and their relevance to the Digital Twin layers. The chapter concludes with practical recommendations for companies aiming to enhance their maintenance capabilities through Digital Twin implementation.

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Title: Interoperability Assessment Model in Industrial Maintenance According to Digital Twin Concept Based on Multicriteria Decision Support Methods
Authors: Alexandre Helmann
Ricardo Pacheco Leal Junior
Lucas Raduy Gomes de Camargo
Leonnardo Massimo Tiepolo
Fernando Deschamps
Eduardo de Freitas Rocha Loures
Publisher: Springer Nature Switzerland
Book: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems
Print ISBN: 978-3-031-38164-5

Electronic ISBN: 978-3-031-38165-2

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-38165-2_7