Analysis of long-term impact of maintenance policy on maintenance capacity using a time-driven activity-based life-cycle costing
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/71832 |
Resumo: | In capital-intensive industries, physical assets and maintenance activities play a relevant and strategic role in terms of providing operational continuity and business sustainability. As a result, maintenance support structures are highly complex and sophisticated. Therefore, maintenance capacity planning must be addressed using reliable techniques to assure the adequate service levels and availabilities of critical assets at the minimum opportunity cost. There has been relatively limited research on how to determine and optimize the maintenance support structure (human resources) in such organizations. This paper proposes a novel technique for dimensioning and optimizing maintenance capacity that combines Time-Driven Activity-Based Costing and Life-Cycle Costing with the Weibull function-based reliability model. Following the main principles of the Design Science Research we propose a sophisticated but simple artifact. Through this model, it is possible to compute maintenance costs and assess both used and idle capacities, considering the behavior over time of the failure rates and the reliability of critical assets within a plant. To demonstrate how the proposed methodology addresses the problem, the model was applied in a real medium-sized Chilean comminution plant and a sensitivity analysis was performed, particularly, to evaluate the relevance of appropriate maintenance workforce planning. |
id |
RCAP_b12a6c0fa8d8876659d49efa4111f195 |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/71832 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Analysis of long-term impact of maintenance policy on maintenance capacity using a time-driven activity-based life-cycle costingTime-Driven Activity-Based Costing (TDABC)Life-Cycle Costing (LCC)Maintenance costsCapacity analysisEconomic sustainabilityMining industryEngenharia e Tecnologia::Outras Engenharias e TecnologiasScience & TechnologyIn capital-intensive industries, physical assets and maintenance activities play a relevant and strategic role in terms of providing operational continuity and business sustainability. As a result, maintenance support structures are highly complex and sophisticated. Therefore, maintenance capacity planning must be addressed using reliable techniques to assure the adequate service levels and availabilities of critical assets at the minimum opportunity cost. There has been relatively limited research on how to determine and optimize the maintenance support structure (human resources) in such organizations. This paper proposes a novel technique for dimensioning and optimizing maintenance capacity that combines Time-Driven Activity-Based Costing and Life-Cycle Costing with the Weibull function-based reliability model. Following the main principles of the Design Science Research we propose a sophisticated but simple artifact. Through this model, it is possible to compute maintenance costs and assess both used and idle capacities, considering the behavior over time of the failure rates and the reliability of critical assets within a plant. To demonstrate how the proposed methodology addresses the problem, the model was applied in a real medium-sized Chilean comminution plant and a sensitivity analysis was performed, particularly, to evaluate the relevance of appropriate maintenance workforce planning.- (undefined)MDPIUniversidade do MinhoDuran, OrlandoAfonso, PauloMinatogawa, Vinicius202010000-01-01T00:00:00Z2020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/71832engDurán, O., Afonso, P., & Minatogawa, V. (2020). Analysis of Long-Term Impact of Maintenance Policy on Maintenance Capacity Using a Time-Driven Activity-Based Life-Cycle Costing. Mathematics, 8(12)2227-739010.3390/math8122208https://www.mdpi.com/2227-7390/8/12/2208info: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:RCAAP2024-05-11T05:32:09Zoai:repositorium.sdum.uminho.pt:1822/71832Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T05:32:09Repositório 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 |
Analysis of long-term impact of maintenance policy on maintenance capacity using a time-driven activity-based life-cycle costing |
title |
Analysis of long-term impact of maintenance policy on maintenance capacity using a time-driven activity-based life-cycle costing |
spellingShingle |
Analysis of long-term impact of maintenance policy on maintenance capacity using a time-driven activity-based life-cycle costing Duran, Orlando Time-Driven Activity-Based Costing (TDABC) Life-Cycle Costing (LCC) Maintenance costs Capacity analysis Economic sustainability Mining industry Engenharia e Tecnologia::Outras Engenharias e Tecnologias Science & Technology |
title_short |
Analysis of long-term impact of maintenance policy on maintenance capacity using a time-driven activity-based life-cycle costing |
title_full |
Analysis of long-term impact of maintenance policy on maintenance capacity using a time-driven activity-based life-cycle costing |
title_fullStr |
Analysis of long-term impact of maintenance policy on maintenance capacity using a time-driven activity-based life-cycle costing |
title_full_unstemmed |
Analysis of long-term impact of maintenance policy on maintenance capacity using a time-driven activity-based life-cycle costing |
title_sort |
Analysis of long-term impact of maintenance policy on maintenance capacity using a time-driven activity-based life-cycle costing |
author |
Duran, Orlando |
author_facet |
Duran, Orlando Afonso, Paulo Minatogawa, Vinicius |
author_role |
author |
author2 |
Afonso, Paulo Minatogawa, Vinicius |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Duran, Orlando Afonso, Paulo Minatogawa, Vinicius |
dc.subject.por.fl_str_mv |
Time-Driven Activity-Based Costing (TDABC) Life-Cycle Costing (LCC) Maintenance costs Capacity analysis Economic sustainability Mining industry Engenharia e Tecnologia::Outras Engenharias e Tecnologias Science & Technology |
topic |
Time-Driven Activity-Based Costing (TDABC) Life-Cycle Costing (LCC) Maintenance costs Capacity analysis Economic sustainability Mining industry Engenharia e Tecnologia::Outras Engenharias e Tecnologias Science & Technology |
description |
In capital-intensive industries, physical assets and maintenance activities play a relevant and strategic role in terms of providing operational continuity and business sustainability. As a result, maintenance support structures are highly complex and sophisticated. Therefore, maintenance capacity planning must be addressed using reliable techniques to assure the adequate service levels and availabilities of critical assets at the minimum opportunity cost. There has been relatively limited research on how to determine and optimize the maintenance support structure (human resources) in such organizations. This paper proposes a novel technique for dimensioning and optimizing maintenance capacity that combines Time-Driven Activity-Based Costing and Life-Cycle Costing with the Weibull function-based reliability model. Following the main principles of the Design Science Research we propose a sophisticated but simple artifact. Through this model, it is possible to compute maintenance costs and assess both used and idle capacities, considering the behavior over time of the failure rates and the reliability of critical assets within a plant. To demonstrate how the proposed methodology addresses the problem, the model was applied in a real medium-sized Chilean comminution plant and a sensitivity analysis was performed, particularly, to evaluate the relevance of appropriate maintenance workforce planning. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
10000-01-01T00:00:00Z 2020 2020-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/71832 |
url |
http://hdl.handle.net/1822/71832 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Durán, O., Afonso, P., & Minatogawa, V. (2020). Analysis of Long-Term Impact of Maintenance Policy on Maintenance Capacity Using a Time-Driven Activity-Based Life-Cycle Costing. Mathematics, 8(12) 2227-7390 10.3390/math8122208 https://www.mdpi.com/2227-7390/8/12/2208 |
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.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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 |
mluisa.alvim@gmail.com |
_version_ |
1817544654096171008 |