bibtype C - Conference Paper (international conference)
ARLID 0558058
utime 20230316105112.1
mtime 20220608235959.9
title (primary) (eng) Characterizing Uncertainty In Decision-Making Models For Maintenance In Industry 4.0
specification
page_count 12 s.
media_type P
serial
ARLID cav_un_epca*0558134
ISBN 978-80-7378-460-7
title Proceedings of the 12th Workshop on Uncertainty Processing
page_num 1-12
publisher
place Prague
name MatfyzPress
year 2022
editor
name1 Studený
name2 Milan
editor
name1 Ay
name2 Nihat
editor
name1 Coletti
name2 Giulianella
editor
name1 Kleiter
name2 Gernot D.
editor
name1 Shenoy
name2 Prakash P.
keyword Decision-Making
keyword Uncertainty
keyword Industry 4.0
author (primary)
ARLID cav_un_auth*0414171
name1 Ahmed
name2 U.
country IT
author
ARLID cav_un_auth*0398866
name1 Carpitella
name2 Silvia
institution UTIA-B
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
country IT
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0399068
name1 Certa
name2 A.
country IT
source
url http://library.utia.cas.cz/separaty/2022/MTR/carpitella-0558058.pdf
cas_special
abstract (eng) 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.
action
ARLID cav_un_auth*0431432
name WUPES 2022: 12th Workshop on Uncertainty Processing
dates 20220601
mrcbC20-s 20220604
place Kutná Hora
country CZ
RIV AE
FORD0 20000
FORD1 20200
FORD2 20205
reportyear 2023
num_of_auth 3
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0332287
confidential S
arlyear 2022
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0558134 Proceedings of the 12th Workshop on Uncertainty Processing MatfyzPress 2022 Prague 1 12 978-80-7378-460-7
mrcbU67 Studený Milan 340
mrcbU67 Ay Nihat 340
mrcbU67 Coletti Giulianella 340
mrcbU67 Kleiter Gernot D. 340
mrcbU67 Shenoy Prakash P. 340