Abstract
Over recent decades, it has become essential to establish preventive long-term maintenance plans for public housing developments. Also, deterministic maintenance strategies have been increasingly replaced by those based on reliability and risk, which are probabilistic. Efforts to obtain optimized long-term maintenance plans have included management of service life and prediction of service lifetime. Accordingly, the present research develops a system for various finishing works of public housing and analyzes the service life pattern of each component using a probabilistic approach. For the analysis, this research analyzed 46,201 South Korean public housing maintenance records from the last 21 years and determined the maintenance frequency distribution. The purpose of the research is to suggest efficient long-term maintenance plans using the analyzed results of service life patterns. Results from the analysis showed that each component has a different service life pattern that can be applied to establish the service lifetime and decision making for floating maintenance. Since the interaction between finishing works is affected due to various components and parameters, the results are useful to reduce the uncertainty and risk of deterministic maintenance plans. The meaning of this research is to analyze the service life pattern using a probabilistic approach and recommend how to establish an efficient maintenance system.
Highlights
Building maintenance management has become more firmly positioned in the context of strategic management in both public and private sectors [1]
The assessment of service life is a key to long-term maintenance plans for public housing and infrastructure which are managed in an integrated manner by public agencies [11]
The analysis was performed on the 46,201 maintenance cases of finishing works for 21 years of public housing aged 25 years or older in South Korea
Summary
Building maintenance management has become more firmly positioned in the context of strategic management in both public and private sectors [1]. Apartments are one of these facilities that have recently experienced problems with maintenance plans and social adverse effects due to lack of comprehensive maintenance [3] These apartments have a wide variety of users and are undergoing difficulties in their management entities and maintenance plans [4]. Difficulties in maintenance were caused by limited maintenance budgets and plans such as bulk repairs without considering the characteristics of mixed occupants with diverse lifestyles [6] In this context, demands for efficient maintenance plans to prevent the degradation of residence services for public housing is increasing around the world [7]. South Korea is experiencing problems such as increasing maintenance costs with the increasing number of aging public housing apartments, and societal interest in the establishment of long-term maintenance plans is increasing [8]. The assessment of service life is a key to long-term maintenance plans for public housing and infrastructure which are managed in an integrated manner by public agencies [11]
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