BIM-Based Fuzzy-AHP and TOPSIS Ranking Process for Renovation Projects Design Alternatives

Osama A. Hassan¹, Malek Masmoudi¹, Salem B. Abdalla¹

1. University of Sharjah

Published in Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024), edited by Ali GhaffarianHoseini, Amirhosein GhaffarianHoseini, Farzad Rahimian and Mahesh Babu Purushothaman. Springer Nature, Lecture Notes in Civil Engineering, volume 591, 2025, pages 408 to 421. DOI 10.1007/978-981-96-4051-5_40.

Abstract

Large facilities and buildings with complex structures & operations face many challenges, such as aging buildings and insufficient resources to meet their high growth rates. Buildings undergo many renovation projects, a significant part of its facilities management and planning (FMP). It requires an improved data-driven decision-making process to increase efficiency and meet short- and long-term goals. This study implements a conceptual framework process for Multi-Criteria Decision Making (MCDM) utilizing building information modeling (BIM) as Data input to support the decision-making process for renovation projects. The study explores different categories and types of Design evaluation criteria for Building renovation projects. Six categories with twenty-two sub-criteria were identified and extracted from the literature and cross-validated through a focus study group of industry experts. The study is applied to a selected case for a Higher Education Institute (HEI) renovation project sample. The fuzzy analytical hierarchy process (Fuzzy-AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) were used to rank the renovation design options alternatives while integrating BIM as a facilitator for the data-driven MCDM process. It was found that the proposed framework of BIM with F-AHP and TOPSIS can enhance the decision-making process by improving the communication process and data-flow consistency, reducing the high time and cost factors imposed by the current manual process used by the HEI.

Keywords

Session

Presented in Recorded Presentations, Session III, Saturday 9 November 2024, 11:00 to 13:30, room WG 201, Auckland University of Technology. Session chair Dr Antonio Lara Hernandez.

How to Cite

Hassan, O. A., Masmoudi, M., & Abdalla, S. B. (2025). BIM-Based Fuzzy-AHP and TOPSIS Ranking Process for Renovation Projects Design Alternatives. In A. GhaffarianHoseini, A. GhaffarianHoseini, F. Rahimian, & M. B. Purushothaman (Eds.), Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024) (Lecture Notes in Civil Engineering, Vol. 591, pp. 408–421). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-4051-5_40

About the Conference

Presented at SASBE 2024, the International Conference on Smart and Sustainable Built Environment, held in Auckland from 7 to 9 November 2024 and chaired by Professors Ali and Amirhosein GhaffarianHoseini, founders of GDI Academy. The version of record is published by Springer Nature; this page is the conference archive record kept by GDI Academy.