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

Youngduk Cho,Jaejun Kim,Sanghyo Lee,Joosung Lee

doi:10.3390/su132212443

Youngduk Cho, Jaejun Kim + Show 2 more

Open Access

https://doi.org/10.3390/su132212443

Copy DOI

Abstract

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.

Highlights

Sustainability is the goal that endeavors to attain a true balance between the environmental, social, and economic objectives at local, national, regional, and global levels [1]
This study aims to contribute to the establishment of an efficient maintenance strategy for residential buildings based on the analysis of the maintenance uncertainty of various finishing works for residential buildings according to a probabilistic methodology
The types of finishing works were classified in nine types as follows: interior (I), doors and windows (DW), painting (P), tiling (T), front door (FD), furniture (F), waterproofing (W), plastering (PL), and carpentry (CA)

Summary

Introduction

Sustainability is the goal that endeavors to attain a true balance between the environmental, social, and economic objectives at local, national, regional, and global levels [1]. Existing studies have mainly focused on environmental sustainability in residential buildings. Various research has been actively conducted on energy-saving technologies such as zero-energy [26,27,28] and environmental performance evaluation methods such as LCA [29,30,31]. Pudleiner et al [26] presented a method to inform the design of Net-Zero Energy buildings through the identification of influential energy efficiency measures. Kaewunruen et al [27] provided a digital twin model for Net Zero Energy Buildings (NZEB) applications in existing buildings, which applied renewable technologies to the building by aiming to identify ultimate benefit of the building especially in terms of effectiveness and efficiency in energy consumption. Meex et al [29]

Objectives

Results

Conclusion