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Analyzing the Finishing Works Service Life Pattern of Public Housing in South Korea by Probabilistic Approach

Author

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  • Soyeon Park

    (Department of Architectural Engineering, Hanyang University, Ansan 15588, Korea)

  • Yonghan Ahn

    (Department of Architectural Engineering, Hanyang University, Ansan 15588, Korea)

  • Sanghyo Lee

    (Division of Architecture and Civil Engineering, Kangwon National University, Samcheok 25913, Korea)

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.

Suggested Citation

  • Soyeon Park & Yonghan Ahn & Sanghyo Lee, 2018. "Analyzing the Finishing Works Service Life Pattern of Public Housing in South Korea by Probabilistic Approach," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4469-:d:186115
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    References listed on IDEAS

    as
    1. Sanghyo Lee & Yonghan Ahn, 2018. "Analyzing the Long-Term Service Life of MEP Using the Probabilistic Approach in Residential Buildings," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    2. Roh, Seungjun & Tae, Sungho & Suk, Sung Joon & Ford, George, 2017. "Evaluating the embodied environmental impacts of major building tasks and materials of apartment buildings in Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 135-144.
    3. Irina Brodetskaia & Rafael Sacks & Aviad Shapira, 2011. "A workflow model for systems and interior finishing works in building construction," Construction Management and Economics, Taylor & Francis Journals, vol. 29(12), pages 1209-1227.
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    Cited by:

    1. Nahyun Kwon & Kwonsik Song & Moonseo Park & Youjin Jang & Inseok Yoon & Yonghan Ahn, 2019. "Preliminary Service Life Estimation Model for MEP Components Using Case-Based Reasoning and Genetic Algorithm," Sustainability, MDPI, vol. 11(11), pages 1-17, May.
    2. Moonsun Park & Nahyun Kwon & Joosung Lee & Sanghyo Lee & Yonghan Ahn, 2019. "Probabilistic Maintenance Cost Analysis for Aged Multi-Family Housing," Sustainability, MDPI, vol. 11(7), pages 1-13, March.
    3. Kwonsik Song & Yonghan Ahn & Joseph Ahn & Nahyun Kwon, 2019. "Development of an Energy Saving Strategy Model for Retrofitting Existing Buildings: A Korean Case Study," Energies, MDPI, vol. 12(9), pages 1-17, April.
    4. Sojin Park & Nahyun Kwon & Yonghan Ahn, 2019. "Forecasting Repair Schedule for Building Components Based on Case-Based Reasoning and Fuzzy-AHP," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    5. Yong-Sik Yoon & Yong-Han Ahn & Xiao-Yong Wang & Seung-Jun Kwon, 2021. "Total Repair Cost Simulation Considering Multiple Probabilistic Measures and Service Life," Sustainability, MDPI, vol. 13(4), pages 1-15, February.

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