IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i22p12443-d676584.html
   My bibliography  Save this article

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

Author

Listed:
  • Youngduk Cho

    (Department of Architectural Engineering, Hanyang University, 222, Wangsipri-ro, Sungdong-gu, Seoul 04763, Korea)

  • Sanghyo Lee

    (Division of Smart Convergence Engineering, Hanyang University ERICA, 55, Hanyangdaehak-ro, Sangnok-gu, Ansan-si 15588, Gyeonggi-do, Korea)

  • Joosung Lee

    (Division of Architecture and Civil Engineering, Kangwon National University, 346, Jungang-ro, Samcheok-si 25913, Gangwon-do, Korea)

  • Jaejun Kim

    (Department of Architectural Engineering, Hanyang University, 222, Wangsipri-ro, Sungdong-gu, Seoul 04763, Korea)

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.

Suggested Citation

  • Youngduk Cho & Sanghyo Lee & Joosung Lee & Jaejun Kim, 2021. "Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12443-:d:676584
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/22/12443/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/22/12443/
    Download Restriction: no
    ---><---

    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. Syan, Chanan S. & Ramsoobag, Geeta, 2019. "Maintenance applications of multi-criteria optimization: A review," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    3. Sakdirat Kaewunruen & Panrawee Rungskunroch & Joshua Welsh, 2018. "A Digital-Twin Evaluation of Net Zero Energy Building for Existing Buildings," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
    4. 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.
    5. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    6. Gregor Wolbring & Theresa Rybchinski, 2013. "Social Sustainability and Its Indicators through a Disability Studies and an Ability Studies Lens," Sustainability, MDPI, vol. 5(11), pages 1-19, November.
    7. I. M. Shohet & M. Puterman & E. Gilboa, 2002. "Deterioration patterns of building cladding components for maintenance management," Construction Management and Economics, Taylor & Francis Journals, vol. 20(4), pages 305-314.
    8. 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.
    9. Seogun Yoon & Seunghyun Son & Sunkuk Kim, 2021. "Design, Construction, and Curing Integrated Management of Defects in Finishing Works of Apartment Buildings," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Robert Bucoń & Agata Czarnigowska, 2021. "Sequential Model for Long-Term Planning of Building Renewal and Capital Improvement," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
    7. Paulina Schiappacasse & Bernhard Müller & Le Thuy Linh, 2019. "Towards Responsible Aggregate Mining in Vietnam," Resources, MDPI, vol. 8(3), pages 1-15, August.
    8. Pina Puntillo, 2023. "Circular economy business models: Towards achieving sustainable development goals in the waste management sector—Empirical evidence and theoretical implications," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(2), pages 941-954, March.
    9. Schlör, Holger & Venghaus, Sandra & Hake, Jürgen-Friedrich, 2018. "The FEW-Nexus city index – Measuring urban resilience," Applied Energy, Elsevier, vol. 210(C), pages 382-392.
    10. Jean-Louis Combes & Alexandru Minea & Pegdéwendé Nestor Sawadogo, 2019. "Assessing the effects of combating illicit financial flows on domestic tax revenue mobilization in developing countries," CERDI Working papers halshs-02019073, HAL.
    11. Nelson, Ewan & Warren, Peter, 2020. "UK transport decoupling: On track for clean growth in transport?," Transport Policy, Elsevier, vol. 90(C), pages 39-51.
    12. Ibrahim Ari & Muammer Koc, 2018. "Sustainable Financing for Sustainable Development: Understanding the Interrelations between Public Investment and Sovereign Debt," Sustainability, MDPI, vol. 10(11), pages 1-25, October.
    13. R. Ebrahimi & S. Choobchian & H. Farhadian & I. Goli & E. Farmandeh & H. Azadi, 2022. "Investigating the effect of vocational education and training on rural women’s empowerment," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    14. Lusha Huang & Newman Lau, 2020. "Enhancing the Smart Tourism Experience for People with Visual Impairments by Gamified Application Approach through Needs Analysis in Hong Kong," Sustainability, MDPI, vol. 12(15), pages 1-27, August.
    15. Benjamin Nölting & Bettina König & Anne B. Zimmermann & Antonietta Di Giulio & Martina Schäfer & Flurina Schneider, 2022. "Dealing with the COVID-19 pandemic: an opportunity to reflect on sustainability research," Sustainability Nexus Forum, Springer, vol. 30(1), pages 11-27, December.
    16. Rashmi Jaipal, 2017. "Psychology at the Crossroads," Psychology and Developing Societies, , vol. 29(2), pages 125-159, September.
    17. Bárbara Galleli & Elder Semprebon & Joyce Aparecida Ramos dos Santos & Noah Emanuel Brito Teles & Mateus Santos de Freitas-Martins & Raquel Teodoro da Silva Onevetch, 2021. "Institutional Pressures, Sustainable Development Goals and COVID-19: How Are Organisations Engaging?," Sustainability, MDPI, vol. 13(21), pages 1-21, November.
    18. Wu, Shaomin & Wu, Di & Peng, Rui, 2023. "Considering greenhouse gas emissions in maintenance optimisation," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1135-1145.
    19. Sagarika Dey & Priyanka Devi, 2019. "Impact of TVET on Labour Market Outcomes and Women’s Empowerment in Rural Areas: A Case Study from Cachar District, Assam," Indian Journal of Human Development, , vol. 13(3), pages 357-371, December.
    20. Rostami-Tabar, Bahman & Ali, Mohammad M. & Hong, Tao & Hyndman, Rob J. & Porter, Michael D. & Syntetos, Aris, 2022. "Forecasting for social good," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1245-1257.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12443-:d:676584. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.