Název: Characterizing Uncertainty In Decision-Making Models For Maintenance In Industry 4.0
Autoři: Ahmed, U. ; Carpitella, Silvia ; Certa, A.
Typ dokumentu: Příspěvky z konference
Konference/Akce: WUPES 2022: 12th Workshop on Uncertainty Processing, Kutná Hora (CZ), 20220601
Rok: 2022
Jazyk: eng
Abstrakt: Decision-making involves our daily life at any level, something that entails uncertainty and potential occurrence of risks of varied nature. When dealing with industrial engineering systems, effective decisions are fundamental in terms of maintenance planning and implementation. Specifically, several forms of uncertainty may affect decision-making procedures, for which adopting suitable techniques seems to be a good strategy to attain the main maintenance goals by taking into account system criticality along with decision-maker(s) opinions. A wide variety of factors contributes to uncertainty, being some of them greatly important while other ones less significant. However, all of these factors in synergy can impact the functioning of systems in a positive, neutral, or negative way. In this case, the question is whether obtaining a complete picture of such uncertainty can improve decision-making capabilities and mitigate both through-life costs and unforeseen problems. The fundamental issues include dealing with ambiguity in the maintenance decision-making process by employing numerous evaluation criteria and dealing with real-world scenarios in the maintenance environment. In this study, the Multi-Criteria Decision-Making (MCDM) approach is analysed, with particular reference to the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS), technique capable to effectively rank alternatives while dealing with uncertainty for maintenance decision-making. A final case study is developed to demonstrate the applicability of the method to the field of maintenance in industry 4.0. The proposed study may be useful in supporting intelligent and efficient decisions resulting in favorable maintenance outcomes.
Klíčová slova: Decision-Making; Industry 4.0; Uncertainty
Zdrojový dokument: Proceedings of the 12th Workshop on Uncertainty Processing, ISBN 978-80-7378-460-7

Instituce: Ústav teorie informace a automatizace AV ČR (web)
Informace o dostupnosti dokumentu: Dokument je dostupný na externích webových stránkách.
Externí umístění souboru: http://library.utia.cas.cz/separaty/2022/MTR/carpitella-0558058.pdf
Původní záznam: http://hdl.handle.net/11104/0332287

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-508625


Záznam je zařazen do těchto sbírek:
Věda a výzkum > AV ČR > Ústav teorie informace a automatizace
Konferenční materiály > Příspěvky z konference