Evaluation of Factors Affecting the Successful Implementation of Green Buildings Based on the Combined Fuzzy DANP and IPA Approach

Authors

  • Alireza Nayer * Department of Industrial Engineering, Faculty of Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran.
  • Ali Jahan Department of Industrial Engineering, Faculty of Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran.

https://doi.org/10.22105/raise.v1i1.39

Abstract

Green buildings play a key role in the sustainable development of the construction industry, helping reduce environmental impacts and optimize energy consumption. This study is aimed at evaluating the factors affecting the successful implementation of green buildings using a combination of the fuzzy Delphi method, fuzzy DANP, and Importance-Performance Analysis (IPA). The statistical population includes ten experts from Simin Stone Façade Construction Company, selected through purposive sampling. The research findings indicate that environmental benefits, energy consumption, resource utilization, and economic benefits are among the key factors affecting the success of green buildings. The fuzzy DANP analysis results show that energy consumption is the most influential factor on other indicators, while waste generation has the highest interconnection with other factors. Furthermore, the IPA analysis identifies waste generation as a critical weakness requiring immediate improvement. By presenting a comprehensive evaluation framework, this study can assist policymakers and construction industry stakeholders in optimizing the design and implementation of green buildings.

Keywords:

Green building, Multi-criteria decision-making, Fuzzy delphi, Fuzzy DANP, Importance-performance analysis

References

  1. [1] Tian, L., Wright, A., Painter, B., & Pazhoohesh, M. (2023). Factors influencing BIM use in green building construction project management in the UK and China. Building research & information, 51(7), 853–870. https://doi.org/10.1080/09613218.2023.2213356
  2. [2] Liu, Y., Pedrycz, W., Deveci, M., & Chen, Z. S. (2024). BIM-based building performance assessment of green buildings-A case study from China. Applied energy, 373, 123977. https://doi.org/10.1016/j.apenergy.2024.123977
  3. [3] Karamoozian, M., & Zhang, H. (2025). Obstacles to green building accreditation during operating phases: identifying Challenges and solutions for sustainable development. Journal of asian architecture and building engineering, 24(1), 350–366. https://doi.org/10.1080/13467581.2023.2280697
  4. [4] Siddiqui, R. A., Adamu, Z., Ebohon, O. J., & Aslam, W. (2024). Factors affecting intention to adopt green building practices: A journey towards meeting sustainable goals. Construction innovation, ahead-of-p (ahead-of-print). https://doi.org/10.1108/CI-04-2023-0074
  5. [5] Rajabi, M., Sardroud, J. M., & Kheyroddin, A. (2022). Artificial Intelligence in Standard Localization of Green Buildings in Iran. Soft computing in engineering sciences (formerly porous media informatics), 1(1). (In Persian). http://sanad.iau.ir/fa/Article/1098199
  6. [6] Raouf, A. M., & Al-Ghamdi, S. G. (2023). Framework to evaluate quality performance of green building delivery: construction and operational stage. International journal of construction management, 23(2), 253–267. https://doi.org/10.1080/15623599.2020.1858539
  7. [7] Zhou, H., Tian, G., Zhang, T., Zhang, X., Pham, D. T., Xiu, X., … Li, H. (2024). Triangular fuzzy QFD–MCDM combination approach for green building design scheme evaluation. Buildings, 14(2). https://doi.org/10.3390/buildings14020520
  8. [8] Ragab, K. M., & Orhan, M. F. (2024). Evaluating conventional and renewable energy systems for green buildings: A case study on energy efficiency and cost optimization. Case studies in thermal engineering, 63, 105233. https://doi.org/10.1016/j.csite.2024.105233
  9. [9] Mirsepassi, N., Toloie Eshlaghy, A., Memarzadeh, G., & Peidaie, M. (2010). Designing a of human resource excellence model in Iranian public sectors using the fuzzy Delphi technique. Future study management, 21(87), 1–22. https://b2n.ir/z76886
  10. [10] Mousavi, P., Yousefizenouz, R., & Hasanpoor, A. (2015). Identifying organizational information security risks using fuzzy Delphi. Journal of information technology management, 7(1), 163–184. https://doi.org/10.22059/jitm.2015.53555
  11. [11] Feng, M., Mangan, J., Wong, C., Xu, M., & Lalwani, C. (2014). Investigating the different approaches to importance–performance analysis. The service industries journal, 34(12), 1021–1041. https://doi.org/10.1080/02642069.2014.915949

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Published

2024-08-05

Issue

Vol. 1 No. 1 (2024): Research Annals of Industrial and Systems Engineering

Section

Articles

How to Cite

Evaluation of Factors Affecting the Successful Implementation of Green Buildings Based on the Combined Fuzzy DANP and IPA Approach. (2024). Research Annals of Industrial and Systems Engineering, 1(1), 34-41. https://doi.org/10.22105/raise.v1i1.39

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