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Volume 14, Issue 52 (8-2025)                   Haft Hesar J Environ Stud 2025, 14(52): 109-117 | Back to browse issues page


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Moayyeri M S, Houseyni S A, Nani M, Rabiei Far H, Asadpour J. A Novel Model for Enhancing Quality Management in the Construction of Luxury Residential Buildings. Haft Hesar J Environ Stud 2025; 14 (52) :109-117
URL: http://hafthesar.iauh.ac.ir/article-1-2247-en.html
Abstract:   (246 Views)
Introduction: The rapid development of modern societies has intensified the demand for high-quality luxury residential buildings, which play a pivotal role in enhancing living standards. However, translating customer expectations into engineering requirements during design, construction, and operation remains a critical challenge. This study addresses this gap by proposing a novel model to improve quality management in luxury residential construction. Utilizing fuzzy logic and a two-stage Quality Function Deployment (QFD) approach, the research evaluates customer-defined quality criteria and prioritizes enhancement strategies. The findings reveal a significant shift in the perception of "luxury" in real estate, emphasizing quality as a central factor.
Methodology: This study employs a mixed-methods approach, combining qualitative and quantitative techniques. Data were collected through expert interviews, surveys, and fuzzy pairwise questionnaires, analyzed using fuzzy Analytic Hierarchy Process (FAHP) and Best-Worst Method (BWM). The two-stage fuzzy QFD framework was applied to translate customer needs (e.g., durability, aesthetic appeal) into technical specifications (e.g., BIM adoption, cost-time management). Software tools such as Atlas.ti, Excel, and LINGO were used for data processing. The House of Quality (HOQ) matrix structured the relationship between customer requirements and quality enhancement measures.
Results: The study identified 12 key quality management criteria, with "time and cost management" (weight: 0.1035), "BIM implementation" (0.1029), and "operational management" (0.0991) as the top priorities. Five dimensions of luxury—functional, comfort, economic, social, and environmental—were validated as critical to quality. The proposed model integrates 16 initial requirements (e.g., sustainable design, material quality) into a structured framework, emphasizing stakeholder alignment and continuous improvement. Fuzzy QFD analysis demonstrated that addressing ambiguities in customer feedback enhances decision-making precision.
Discussion: The results underscore the transformative potential of integrating fuzzy QFD and BIM in luxury construction. Effective time-cost management mitigates project delays and budget overruns, while BIM adoption reduces design-execution discrepancies. Operational management ensures long-term quality post-construction. The study highlights the need for risk-adjusted budgeting and earned value management to sustain quality. Limitations include reliance on expert opinions, suggesting future research should validate the model across diverse projects. This work contributes a scalable framework for aligning luxury construction with evolving customer expectations and industry standards.

 
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Type of Study: Research |
Received: 2025/08/3 | Accepted: 2025/08/1 | Published: 2025/08/1 | ePublished: 2025/08/1

References
1. قاسمی جلیل، حسن، کاظمی، عالیه، زاده مهناز، حسن. (1395). گسترش عملکرد کیفیت (QFD) با استفاده از مدل برنامه‌ریزی خطی فازی. مدیریت صنعتی, 8(2), 241-262.
2. Amin, S. H., & Razmi, J. (2009). An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation. Expert systems with applications, 36(4), 8639-8648. [DOI:10.1016/j.eswa.2008.10.012]
3. Bevilacqua, M., Ciarapica, F. E., & Giacchetta, G. (2006). A fuzzy-QFD approach to supplier selection. Journal of Purchasing and Supply Management, 12(1), 14-27. [DOI:10.1016/j.pursup.2006.02.001]
4. Bevilacqua, M., & Petroni, A. (2002). From traditional purchasing to supplier management: a fuzzy logic-based approach to supplier selection. International Journal of Logistics, 5(3), 235-255. [DOI:10.1080/1367556021000026691]
5. Bottani, E., & Rizzi, A. (2006). Strategic management of logistics service: A fuzzy QFD approach. International journal of production economics, 103(2), 585-599. [DOI:10.1016/j.ijpe.2005.11.006]
6. Dara, S. (2025). A study on implementing QFD (quality function deployment) in the construction of a commercial business center. Construction Innovation, 25(2), 419-441. [DOI:10.1108/CI-10-2022-0263]
7. Harris, F., McCaffer, R., Baldwin, A., & Edum-Fotwe, F. (2020). Modern construction management. John Wiley & Sons.
8. Ignatius, J., Rahman, A., Yazdani, M., Šaparauskas, J., & Haron, S. H. (2016). An integrated fuzzy ANP-QFD approach for green building assessment. Journal of Civil Engineering and Management, 22(4), 551-563. [DOI:10.3846/13923730.2015.1120772]
9. Juan, Y. K., Hsing, N. P., & Hsu, Y. H. (2019). Applying the Kano two-dimensional model and quality function deployment to develop sustainable planning strategies for public housing in Taiwan. Journal of Housing and the Built Environment, 34(1), 265-282. [DOI:10.1007/s10901-018-9627-0]
10. Karsak, E. E., & Dursun, M. (2015). An integrated fuzzy MCDM approach for supplier evaluation and selection. Computers & industrial engineering, 82, 82-93. [DOI:10.1016/j.cie.2015.01.019]
11. Lima-Junior, F. R., & Carpinetti, L. C. R. (2016). A multicriteria approach based on fuzzy QFD for choosing criteria for supplier selection. Computers & Industrial Engineering, 101, 269-285. [DOI:10.1016/j.cie.2016.09.014]
12. Moayeri, M. S., Hosseini, S. A., Nani, M., Rabieifar, H., & Asadpour, J. (2023). Evaluating the Quality of Luxury Residential Buildings in Iran and their Impact on the Resilience Factors: A Fuzzy BWM Approach.
13. Nasereddin, M. (2016). An investigation into the importance of Total Quality Management in construction field projects: Quality Control. Res. Gate, 1-97.
14. Oni, O. Z., Amusan, L. M., Owolabi, J. D., & Akinbile, B. F. (2019, August). Factors affecting quality management practices on building construction sites in Nigeria. In Journal of Physics: Conference Series (Vol. 1299, No. 1, p. 012009). IOP Publishing. [DOI:10.1088/1742-6596/1299/1/012009]
15. Rahmati, M., Rojhani, M., & Raoof, M. A. (2021). Causes of Delays in Iranian Building Construction Projects. AUT Journal of Civil Engineering, 5(4), 613-624.
16. Mallawaarachchi, H., & Senaratne, S. (2015). Importance of quality for construction project success. In 6th International Conference on Structural Engineering and Construction Management 2015 (pp. 84-89).
17. Tsai, C. Y., Lo, C. C., & Chang, A. C. (2003). Using fuzzy QFD to enhance manufacturing strategic planning. Journal of the Chinese Institute of Industrial Engineers, 20(1), 33-41. [DOI:10.1080/10170660309509222]
18. Uztürk, D., Büyüközkan, G., Negüs, A. F., & Yaman Öztek, M. (2018). Interval-valued intuitionistic fuzzy based QFD application for smart hospital design. In Data Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference (FLINS 2018) (pp. 1115-1123). [DOI:10.1142/9789813273238_0141]
19. Yllén Johansson, M. (2012). Agile project management in the construction industry: An inquiry of the oppurtunities in construction projects.

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