Probabilistic Maintenance Cost Analysis for Aged Multi-Family Housing

Abstract

To realize sustainable construction, planning for future maintenance costs is essential. In the case of multi-family housing, various maintenance issues can be expected to appear starting 10 years after completion. Therefore, preventive maintenance must be implemented in a systematic manner to cope with the problems caused by the natural aging of multi-family dwellings and to maintain a sustainable level of quality for the properties. In this study, maintenance costs were investigated for 224 multi-family housing units aged 20 years or older in Seoul, South Korea. Using Monte Carlo simulation in conjunction with expert interviews, a probabilistic maintenance cost analysis was conducted to analyze and estimate the variability in maintenance costs. The findings of the study propose that the use of probabilistic maintenance cost analysis can be developed into a useful planning tool for determining reasonable future maintenance costs in sustainable construction.

Factors affecting the number of building defects and the approaches to reduce their negative impacts in Malaysian public universities’ buildings

“…The number of aged buildings is on the increase globally and, in most countries, is accompanied by an increasing number of building defects and associated costs (Park et al , 2019). One of the most pressing tasks is to minimise this rising cost (Au-Yong et al , 2014a, 2016; Forcada et al , 2016; Waziri, 2016).…”

“…Nevertheless, Lee et al (2018) indicated there is a relative lack of studies providing systemic approaches to reducing defects and their costs. Furthermore, the avenues that would reduce the number of defects and their cost have been getting significant attention from building maintenance stakeholders in several countries (Park et al , 2019).…”

A deep learning-based building defects detection tool for sustainability monitoring

“…A building defect is characterised as a "failing or shortcoming in the function, performance, statutory or user requirements of a building and might manifest itself within the structure, fabric, services or other facilities of the affected building" (Watt, 2009). The growth of aged buildings has caused a surge in repair costs associated with building defects (Park, et al, 2019). While the old buildings with defects are typically unsustainable, in major cities, some newly built high-rise buildings have also proved to be unsustainable.…”

“…Therefore, the social aspect of sustainability is immensely affected. On the other hand, the costs allocated for detecting, repairing, and preventing defects are escalating to create a negative impact on economic sustainability (Park, et al, 2019). The degradation of structural elements because of defects, generates waste and emissions making the buildings environmentally unsustainable (Lee, et al, 2018).…”

Construction Theory for a Building Intelligent Operation and Maintenance System Based on Digital Twins and Machine Learning

“…In the process of operating a building, it is difficult to maintain the structures at a safe status all the time, or even in a dangerous state, due to the degradation of materials and damage caused by various harmful factors [1]. Building maintenance has long been recognized globally as a long-term problem in the life cycle of buildings because of the increasing number of deteriorating buildings [2][3][4]. As a part of building operation, it is important to conduct maintenance work, such as repairing failures, replacing components, and discovering construction problems-and solving them in time to ensure normal and safe running status [5].…”