Open Access Articles

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 (11)
  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

Article Metrics

How to Cite

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

Similar Articles

1-10 of 59

You may also start an advanced similarity search for this article.