Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

In general, the long-term maintenance planning of residential buildings is performed based on uniform repair times. However, in fact, various factors, such as the quality and user patterns, affect the performance of residential building components in the Operation and Maintenance (O&M) phase. He...

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Autores principales:	Youngduk Cho, Sanghyo Lee, Joosung Lee, Jaejun Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	residential building finishing work repair time distribution maintenance strategy Monte-Carlo simulation uncertainty Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/9ef67a04faf2466b888785061f3c9d09
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spelling	oai:doaj.org-article:9ef67a04faf2466b888785061f3c9d092021-11-25T19:01:06ZAnalysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies10.3390/su1322124432071-1050https://doaj.org/article/9ef67a04faf2466b888785061f3c9d092021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12443https://doaj.org/toc/2071-1050In general, the long-term maintenance planning of residential buildings is performed based on uniform repair times. However, in fact, various factors, such as the quality and user patterns, affect the performance of residential building components in the Operation and Maintenance (O&M) phase. Hence, various residential building components are repaired at uncertain times, acting as a risk for the residential building maintenance plan. Therefore, an efficient maintenance plan should be established considering maintenance uncertainty. In this regard, this study aims to analyze the uncertainty of repair times for various finishing works in residential buildings based on a probabilistic methodology and outline the implications for the establishment of efficient maintenance strategies in these buildings. Hence, 47,344 repair data for 63 buildings in 12 public residential building complexes completed between 1991 and 2001 in the Republic of Korea were used for analysis. Before the analysis, a repair time matrix was constructed by classifying the finishing works in 25 types and setting service life times to 6–26 years. The repair time distribution for each finishing work was then derived. Results confirmed that basic repair time setting can be performed and various information for reasonable maintenance decision making regarding each finishing work can be provided through a probabilistic approach. The probabilistic approach can be used as a critical decision-making method because there is uncertainty associated with the repair time of each finishing work owing to the performance degradations of various finishing works due to complex causes. Although this study focused on repair time owing to data collection limitations, maintenance strategies with strategic flexibility can be established by developing probabilistic methods that simultaneously consider frequency and cost by securing additional high-quality cost data.Youngduk ChoSanghyo LeeJoosung LeeJaejun KimMDPI AGarticleresidential buildingfinishing workrepair time distributionmaintenance strategyMonte-Carlo simulationuncertaintyEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12443, p 12443 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	residential building finishing work repair time distribution maintenance strategy Monte-Carlo simulation uncertainty Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	residential building finishing work repair time distribution maintenance strategy Monte-Carlo simulation uncertainty Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Youngduk Cho Sanghyo Lee Joosung Lee Jaejun Kim Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies
description	In general, the long-term maintenance planning of residential buildings is performed based on uniform repair times. However, in fact, various factors, such as the quality and user patterns, affect the performance of residential building components in the Operation and Maintenance (O&M) phase. Hence, various residential building components are repaired at uncertain times, acting as a risk for the residential building maintenance plan. Therefore, an efficient maintenance plan should be established considering maintenance uncertainty. In this regard, this study aims to analyze the uncertainty of repair times for various finishing works in residential buildings based on a probabilistic methodology and outline the implications for the establishment of efficient maintenance strategies in these buildings. Hence, 47,344 repair data for 63 buildings in 12 public residential building complexes completed between 1991 and 2001 in the Republic of Korea were used for analysis. Before the analysis, a repair time matrix was constructed by classifying the finishing works in 25 types and setting service life times to 6–26 years. The repair time distribution for each finishing work was then derived. Results confirmed that basic repair time setting can be performed and various information for reasonable maintenance decision making regarding each finishing work can be provided through a probabilistic approach. The probabilistic approach can be used as a critical decision-making method because there is uncertainty associated with the repair time of each finishing work owing to the performance degradations of various finishing works due to complex causes. Although this study focused on repair time owing to data collection limitations, maintenance strategies with strategic flexibility can be established by developing probabilistic methods that simultaneously consider frequency and cost by securing additional high-quality cost data.
format	article
author	Youngduk Cho Sanghyo Lee Joosung Lee Jaejun Kim
author_facet	Youngduk Cho Sanghyo Lee Joosung Lee Jaejun Kim
author_sort	Youngduk Cho
title	Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies
title_short	Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies
title_full	Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies
title_fullStr	Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies
title_full_unstemmed	Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies
title_sort	analysis of the repair time of finishing works using a probabilistic approach for efficient residential buildings maintenance strategies
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9ef67a04faf2466b888785061f3c9d09
work_keys_str_mv	AT youngdukcho analysisoftherepairtimeoffinishingworksusingaprobabilisticapproachforefficientresidentialbuildingsmaintenancestrategies AT sanghyolee analysisoftherepairtimeoffinishingworksusingaprobabilisticapproachforefficientresidentialbuildingsmaintenancestrategies AT joosunglee analysisoftherepairtimeoffinishingworksusingaprobabilisticapproachforefficientresidentialbuildingsmaintenancestrategies AT jaejunkim analysisoftherepairtimeoffinishingworksusingaprobabilisticapproachforefficientresidentialbuildingsmaintenancestrategies
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Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

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