Predictive long-term asset maintenance strategy: development of a fuzzy logic condition-based control system

Detalhes bibliográficos
Autor(a) principal: Almeida, Fernando Pedro Silva
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/135686
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Predictive long-term asset maintenance strategy: development of a fuzzy logic condition-based control systemFacility ManagementLong-Term Asset StrategyEuropean Central BankCondition-Based MaintenanceLeft Wear MarginFuzzy LogicPythonDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceTechnology has accelerated the growth of the Facility Management industry and its roles are broadening to encompass more responsibilities and skill sets. FM budgets and teams are becoming larger and more impactful as new technological trends are incorporated into data-driven strategies. This new scenario has motivated institutions such as the European Central Bank to initiate projects aimed at optimising the use of data to improve the monitoring, control and preservation of the assets that enable the continuity of the Bank's activities. Such projects make it possible to reduce costs, plan, manage and allocate resources, reinforce the control, and efficiency of safety and operational systems. To support the long-term maintenance strategy being developed by the Technical Facility Management section of the ECB, this thesis proposes a model to calculate the Left wear margin of the equipment. This is accomplished through the development of an algorithm based on a fuzzy logic system that uses Python language and presents the system's structure, its reliability, feasibility, potential, and limitations. For Facility Management, this project constitutes a cornerstone of the ongoing digital transformation program.Côrte-Real, Nadine Evangelista de PinhoRUNAlmeida, Fernando Pedro Silva2022-04-01T17:31:32Z2022-03-282022-03-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/135686TID:202982807enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:14:02Zoai:run.unl.pt:10362/135686Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:29.569357Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Predictive long-term asset maintenance strategy: development of a fuzzy logic condition-based control system
title Predictive long-term asset maintenance strategy: development of a fuzzy logic condition-based control system
spellingShingle Predictive long-term asset maintenance strategy: development of a fuzzy logic condition-based control system
Almeida, Fernando Pedro Silva
Facility Management
Long-Term Asset Strategy
European Central Bank
Condition-Based Maintenance
Left Wear Margin
Fuzzy Logic
Python
title_short Predictive long-term asset maintenance strategy: development of a fuzzy logic condition-based control system
title_full Predictive long-term asset maintenance strategy: development of a fuzzy logic condition-based control system
title_fullStr Predictive long-term asset maintenance strategy: development of a fuzzy logic condition-based control system
title_full_unstemmed Predictive long-term asset maintenance strategy: development of a fuzzy logic condition-based control system
title_sort Predictive long-term asset maintenance strategy: development of a fuzzy logic condition-based control system
author Almeida, Fernando Pedro Silva
author_facet Almeida, Fernando Pedro Silva
author_role author
dc.contributor.none.fl_str_mv Côrte-Real, Nadine Evangelista de Pinho
RUN
dc.contributor.author.fl_str_mv Almeida, Fernando Pedro Silva
dc.subject.por.fl_str_mv Facility Management
Long-Term Asset Strategy
European Central Bank
Condition-Based Maintenance
Left Wear Margin
Fuzzy Logic
Python
topic Facility Management
Long-Term Asset Strategy
European Central Bank
Condition-Based Maintenance
Left Wear Margin
Fuzzy Logic
Python
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2022
dc.date.none.fl_str_mv 2022-04-01T17:31:32Z
2022-03-28
2022-03-28T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/135686
TID:202982807
url http://hdl.handle.net/10362/135686
identifier_str_mv TID:202982807
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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