LONG-TERM MAINTENANCE COST FORECASTING AND WARRANTY BUDGET PLANNING FOR RESIDENTIAL BUILDINGS IN BANGKOK, THAILAND

Authors

  • Wannawit Taemthong Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand https://orcid.org/0000-0003-1486-1541
  • Nattasit Chaisaard Construction Management Program, School of Management Science, Sukhothai Thammathirat Open University, Nonthaburi, Thailand. https://orcid.org/0009-0001-8522-9693
  • Wichai Cheyaphong Civil Engineering Department, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

DOI:

https://doi.org/10.55766/sujst12988

Keywords:

Budget planning, Defect analysis, Maintenance cost, Predictive maintenance modeling, Residential project, Warranty budget

Abstract

This study evaluates the adequacy of current warranty budget allocations in residential developments and proposes differentiated, data-driven percentages based on long-term maintenance cost projections and project characteristics. Empirical defect data from five condominium projects in Bangkok, varying in unit type, scale, and market positioning, were collected between 2019 and 2023 and used to model 30-year cost projections through linear regression. The findings show that maintenance costs consistently increase over time, with annual cost slopes ranging from USD 10,162 to USD 30,857 and R² values between 0.90 and 0.99, while projected lifetime maintenance costs represent 5.56% to 11.26% of total project values. The widely adopted 2% warranty allocation was found to be inadequate, depleting as early as year 11 in high-density or lower-cost projects. Based on cumulative cost behavior and project conditions, differentiated warranty budgets of 6% to 11% are recommended to ensure financial sustainability. While the analysis is limited to five projects in Bangkok and linear forecasting methods, the results underscore the importance of empirical, context-sensitive approaches to warranty planning. By integrating real defect data with long-term cost modeling, this research provides a practical framework for improving financial foresight, construction quality, and asset management in rapidly urbanizing regions.

References

Abuhussain, M., & Baghdadi, A. (2024). A novel framework for estimation of the maintenance and operation cost in construction projects: A step toward sustainable buildings. Sustainability, 16(23), 10441. https://doi.org/10.3390/su162310441

AlJaber, A., Martinez-Vazquez, P., & Baniotopoulos, C. (2025). Exploring circular economy strategies in buildings: Evaluating feasibility, stakeholders’ influence, and the role of the building lifecycle in effective adoption. Applied Sciences, 15(3), 1174. https://doi.org/10.3390/app15031174

Assaf, S., Al-Hammad, A. M., & Al-Shihah, M. (1996). Effects of faulty design and construction on building maintenance. Journal of Performance of Constructed Facilities, 10(4), 171-174. https://doi.org/10.1061/(ASCE)0887-3828(1996)10:4(171)

Balasbaneh, A. T., Sher, W., & Li, J. (2025). A systematic review of the life cycle cost estimation of upgrading buildings for sustainability. Environmental Science and Pollution Research, 32(33), 19649-19671. https://doi.org/10.1007/s11356-025-36757-x

Bouabdallaoui, Y., Lafhaj, Z., Yim, P., Ducoulombier, L., & Bennadji, B. (2021). Predictive maintenance in building facilities: A machine learning-based approach. Sensors, 21(4), 1044. https://doi.org/10.3390/s21041044

Desbalo, M. T., Woldesenbet, A. K., Bargstädt, H. J., & Yehualaw, M. D. (2024). Critical factors that influence the effectiveness of facility maintenance management practice in public university buildings in Ethiopia: An exploratory factor analysis. Cogent Engineering, 11(1), 2307150. https://doi.org/10.1080/23311916.2024.2307150

Jung, Y. C., Jin, Z. X., Hyun, C. T., & Lee, S. (2022). The analysis and forecasting model for maintenance costs considering elapsed years of old long-term public rental housing. Korean Journal of Construction Engineering and Management, 23(3), 83-94. https://doi.org/10.6106/KJCEM.2022.23.3.083

Le, A. T. H., Domingo, N., Rasheed, E., & Park, K. S. (2018, September). Building maintenance cost planning and estimating: A literature review. In Proceedings of the 34th Annual ARCOM Conference (pp. 697-706). ARCOM. https://doi.org/10.26190/unsworks/26872

Li, C. S., & Guo, S. J. (2012). Life cycle cost analysis of maintenance costs and budgets for university buildings in Taiwan. Journal of Asian Architecture and Building Engineering, 11(1), 87-94. https://doi.org/10.3130/jaabe.11.87

Mahpour, A. (2023). Building maintenance cost estimation and circular economy: The role of machine-learning. Sustainable Materials and Technologies, 37, e00679. https://doi.org/10.1016/j.susmat.2023.e00679

Mazzetto, S. (2025). Hybrid predictive maintenance for building systems: Integrating rule-based and machine learning models for fault detection using a high-resolution Danish dataset. Buildings, 15(4), 630. https://doi.org/10.3390/buildings15040630

Nabawy, M., Mohamed, A. G., Awad, I., & Daoud, A. O. (2025). Green building information modeling framework for sustainable residential development in Egypt. Buildings, 15(7), 1035. https://doi.org/10.3390/buildings15071035

Ong, S. E. (1997). Building defects, warranties and project financing from pre-completion marketing. Journal of Property Finance, 8(1), 35–51. https://doi.org/10.1108/09588689710160507

Park, J., & Seo, D. (2017). Basic study on term of warranty liability for window and door work defect in apartment building. In International Conference on Research & Innovation in Environment, Civil and Architecture Engineering. https://doi.org/10.17758/urst.u1217304

Park, J., & Seo, D. (2022). Defect repair cost and home warranty deposit, Korea. Buildings, 12(7), 1027. https://doi.org/10.3390/buildings12071027

Park, J., & Seo, D. (2023). Defect repair deposit and insurance premium for a new home warranty in Korea. Buildings, 13(3), 815. https://doi.org/10.3390/buildings13030815

Park, M., Kwon, N., Lee, J., Lee, S., & Ahn, Y. (2019). Probabilistic maintenance cost analysis for aged multi-family housing. Sustainability, 11(7), 1843. https://doi.org/10.3390/su11071843

Plebankiewicz, E., & Malara, J. (2020). Analysis of defects in residential buildings reported during the warranty period. Applied Sciences, 10(17), 6123. https://doi.org/10.3390/app10176123

Plebankiewicz, E., Leśniak, A., Vitková, E., & Hromadko, V. (2022). Models for estimating costs of public buildings maintaining—Review and assessment. Archives of Civil Engineering, 68(1), 589-607. https://doi.org/10.24425/ace.2022.140171

Royal, S., Lehoux, N., & Blanchet, P. (2022). New home warranty schemes: Developing a theoretical comparative framework using qualitative content analysis. International Journal of Building Pathology and Adaptation, 40(4), 499-522. https://doi.org/10.1108/IJBPA-10-2020-0090

Royal, S., Lehoux, N., & Blanchet, P. (2023). Comparative case study research: An international analysis of nine home warranty schemes. International Journal of Building Pathology and Adaptation, 41(4), 789-824. https://doi.org/10.1108/IJBPA-04-2021-0058

Sala, R., Pirola, F., Arioli, V., & Dovere, E. (2024). Maintenance lifecycle cost analysis through agent-based simulation. IFAC-PapersOnLine, 58(8), 43-48. https://doi.org/10.1016/j.ifacol.2024.08.048

Sommerville, J. (2008). Homebuilding market study. Office of Fair Trading.

Urlainis, A., Paciuk, M., & Shohet, I. M. (2024). Service life prediction and life cycle costs of light weight partitions. Applied Sciences, 14(3), Article 1233. https://doi.org/10.3390/app14031233

Vázquez-López, E., Solís-Guzmán, J., & Marrero, M. (2024). A work breakdown structure for estimating building life cycle cost aligned with sustainable assessment—Application to functional costs. Buildings, 14(4), 1119. https://doi.org/10.3390/buildings14041119

Zalejska-Jonsson, A., & Hungria-Gunnelin, R. (2019). Defects in newly constructed residential buildings: Owners’ perspective. International Journal of Building Pathology and Adaptation, 37(2), 163-185. https://doi.org/10.1108/IJBPA-06-2018-0048

Zeni, K. S., & Kikwasi, G. J. (2023). Factors affecting maintenance cost of public buildings: Case study of Tanzania Buildings Agency and National Housing Corporation. International Journal of Building Pathology and Adaptation, 41(5), 926-941. https://doi.org/10.1108/IJBPA-08-2021-0107

Zhou, Z., Syamsunur, D., Wang, L., & Nugraheni, F. (2024). Identification of impeding factors in utilising prefabrication during lifecycle of construction projects: An extensive literature review. Buildings, 14(6), 1764. https://doi.org/10.3390/buildings14061764

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Published

2026-09-22

How to Cite

Taemthong, W., Chaisaard, N., & Cheyaphong, W. (2026). LONG-TERM MAINTENANCE COST FORECASTING AND WARRANTY BUDGET PLANNING FOR RESIDENTIAL BUILDINGS IN BANGKOK, THAILAND. Suranaree Journal of Science and Technology, 33(5), 010455(1–12). https://doi.org/10.55766/sujst12988

Issue

Vol. 33 No. 5 (2026): September - October

Section

Research Article

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Copyright (c) 2026 Wannawit Taemthong, Nattasit Chaisaard, Wichai Cheyaphong

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