On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry

Detalhes bibliográficos
Autor(a) principal: Machado, Mario Marcondes.
Data de Publicação: 2019
Tipo de documento: Tese
Idioma: eng
Título da fonte: Repositório Institucional da UFRJ
Texto Completo: http://hdl.handle.net/11422/13259
Resumo: The overall objective of this research is to develop a comprehensive decision support framework for preventive maintenance program implementations in the offshore operational environment of the oil and gas industry. The thesis investigates the problems surrounding the maintenance decision-making process, which elements are systematically identified and categorized, including organizational aspects. The interface with operations is considered in order to promote integration between maintenance and production schedules. This thesis has been a mix of qualitative and quantitative research. The research subjacent objectives have been to identify, among major oil and gas offshore players, the state-of-practices regarding the maintenance decision-making process and identify, in the literature, the main techniques used for maintenance decisions and optimization in order to propose alternatives for supporting future preventive maintenance program implementations. By means of a Systems Engineering based approach, assisted by a literature review, interviews with experts (in Norway and in Brazil), an on-line survey and case studies, the results of this thesis complement a toolkit for maintenance engineers and managers aiming to facilitate information sharing and interdisciplinary cooperation in the operational environment. The main contributions of this research are: (i) A concept map for the maintenance decision-making process ontology; (ii) A plan for preventive maintenance program implementations; (iii) The suggested cross-sector solution: the minimum equipment list; (iv) A Markovian dependability nomogram; (v) A Markov decision model application.
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spelling On the process of maintenance decision-making in the offshore operational environment of the oil and gas industrySobre o processo de tomada de decisão de manutenção no ambiente operacional offshore da indústria do óleo e gás.Preventive maintenanceDecision analysisMarkov decision processCNPQ::ENGENHARIASThe overall objective of this research is to develop a comprehensive decision support framework for preventive maintenance program implementations in the offshore operational environment of the oil and gas industry. The thesis investigates the problems surrounding the maintenance decision-making process, which elements are systematically identified and categorized, including organizational aspects. The interface with operations is considered in order to promote integration between maintenance and production schedules. This thesis has been a mix of qualitative and quantitative research. The research subjacent objectives have been to identify, among major oil and gas offshore players, the state-of-practices regarding the maintenance decision-making process and identify, in the literature, the main techniques used for maintenance decisions and optimization in order to propose alternatives for supporting future preventive maintenance program implementations. By means of a Systems Engineering based approach, assisted by a literature review, interviews with experts (in Norway and in Brazil), an on-line survey and case studies, the results of this thesis complement a toolkit for maintenance engineers and managers aiming to facilitate information sharing and interdisciplinary cooperation in the operational environment. The main contributions of this research are: (i) A concept map for the maintenance decision-making process ontology; (ii) A plan for preventive maintenance program implementations; (iii) The suggested cross-sector solution: the minimum equipment list; (iv) A Markovian dependability nomogram; (v) A Markov decision model application.O objetivo geral desta pesquisa é desenvolver um arcabouço de apoio à decisão para implementações de programas de manutenção preventiva no ambiente operacional offshore da indústria do petróleo. A tese investiga os problemas que envolvem o processo de tomada de decisão de manutenção, cujos elementos são sistematicamente identificados e categorizados, incluindo aspectos organizacionais. A interface com operações é considerada para promover a integração entre os cronogramas de manutenção e produção. Esta tese é composta de pesquisa qualitativa e quantitativa. Os objetivos subjacentes são identificar, entre os principais atores offshore do setor, o estado das práticas e, a partir da literatura, as principais técnicas utilizadas para decisões de manutenção, a fim de propor alternativas para apoiar futuras implementações de programas de manutenção preventiva. Por meio de uma abordagem baseada na Engenharia de Sistemas, assistida por revisão da literatura, entrevistas com especialistas (na Noruega e no Brasil), pesquisa on-line e estudos de caso, os resultados desta tese complementam um ferramental para engenheiros de manutenção e gestores visando facilitar o compartilhamento de informações e a cooperação interdisciplinar no ambiente operacional. As principais contribuições desta pesquisa são: (i) Um mapa conceitual para a ontologia do processo de tomada de decisões de manutenção; (ii) Um plano para implementação de programas de manutenção preventiva; (iii) A sugerida solução inter-setorial: lista mínima de equipamentos; (iv) Um nomograma markoviano para a confiabilidade; (v) Um modelo de aplicação do Processo de Decisão de Markov.Universidade Federal do Rio de JaneiroBrasilInstituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de EngenhariaPrograma de Pós-Graduação em Engenharia de ProduçãoUFRJVidal, Mario Cesar Rodríguezhttp://lattes.cnpq.br/5977040735225918http://lattes.cnpq.br/4582957417486095Haskins, CeciliaOliveira, Mario Jorge Ferreira deFrutuoso e Melo, Paulo Fernando FerreiraCampos, Mario Cesar Mello Massa deMachado, Mario Marcondes.2020-10-18T03:19:44Z2023-12-21T03:02:22Z2019-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesishttp://hdl.handle.net/11422/13259enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRJinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ2023-12-21T03:02:22Zoai:pantheon.ufrj.br:11422/13259Repositório InstitucionalPUBhttp://www.pantheon.ufrj.br/oai/requestpantheon@sibi.ufrj.bropendoar:2023-12-21T03:02:22Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry
Sobre o processo de tomada de decisão de manutenção no ambiente operacional offshore da indústria do óleo e gás.
title On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry
spellingShingle On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry
Machado, Mario Marcondes.
Preventive maintenance
Decision analysis
Markov decision process
CNPQ::ENGENHARIAS
title_short On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry
title_full On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry
title_fullStr On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry
title_full_unstemmed On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry
title_sort On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry
author Machado, Mario Marcondes.
author_facet Machado, Mario Marcondes.
author_role author
dc.contributor.none.fl_str_mv Vidal, Mario Cesar Rodríguez
http://lattes.cnpq.br/5977040735225918
http://lattes.cnpq.br/4582957417486095
Haskins, Cecilia
Oliveira, Mario Jorge Ferreira de
Frutuoso e Melo, Paulo Fernando Ferreira
Campos, Mario Cesar Mello Massa de
dc.contributor.author.fl_str_mv Machado, Mario Marcondes.
dc.subject.por.fl_str_mv Preventive maintenance
Decision analysis
Markov decision process
CNPQ::ENGENHARIAS
topic Preventive maintenance
Decision analysis
Markov decision process
CNPQ::ENGENHARIAS
description The overall objective of this research is to develop a comprehensive decision support framework for preventive maintenance program implementations in the offshore operational environment of the oil and gas industry. The thesis investigates the problems surrounding the maintenance decision-making process, which elements are systematically identified and categorized, including organizational aspects. The interface with operations is considered in order to promote integration between maintenance and production schedules. This thesis has been a mix of qualitative and quantitative research. The research subjacent objectives have been to identify, among major oil and gas offshore players, the state-of-practices regarding the maintenance decision-making process and identify, in the literature, the main techniques used for maintenance decisions and optimization in order to propose alternatives for supporting future preventive maintenance program implementations. By means of a Systems Engineering based approach, assisted by a literature review, interviews with experts (in Norway and in Brazil), an on-line survey and case studies, the results of this thesis complement a toolkit for maintenance engineers and managers aiming to facilitate information sharing and interdisciplinary cooperation in the operational environment. The main contributions of this research are: (i) A concept map for the maintenance decision-making process ontology; (ii) A plan for preventive maintenance program implementations; (iii) The suggested cross-sector solution: the minimum equipment list; (iv) A Markovian dependability nomogram; (v) A Markov decision model application.
publishDate 2019
dc.date.none.fl_str_mv 2019-02
2020-10-18T03:19:44Z
2023-12-21T03:02:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/11422/13259
url http://hdl.handle.net/11422/13259
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.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
Brasil
Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia
Programa de Pós-Graduação em Engenharia de Produção
UFRJ
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
Brasil
Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia
Programa de Pós-Graduação em Engenharia de Produção
UFRJ
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRJ
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Repositório Institucional da UFRJ
collection Repositório Institucional da UFRJ
repository.name.fl_str_mv Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv pantheon@sibi.ufrj.br
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