Akademik Veri Yönetim Sistemi
Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: İstanbul Kültür Üniversitesi, Lisansüstü Eğitim Enstitüsü, Endüstri Mühendisliği Anabilim Dalı, Türkiye
Tezin Onay Tarihi: 2026
Tezin Dili: İngilizce
Öğrenci: ABDUL BASET MOHAMMAD SAEID
Danışman: Duygun Fatih Demirel
Özet:
Delays in construction projects remain a persistent and critical issue, especially in environments influenced by external complexities such as political instability, economic uncertainty, legal constraints, and rapid technological changes.
While lean construction tools have been widely promoted to enhance project efficiency and minimize delays, limited research exists on how to systematically prioritize these tools based on their effectiveness in addressing externally driven delay factors. This study aims to fill that gap by proposing a hybrid MCDM framework to support informed decision-making in uncertain construction environments.
The methodology combines Fuzzy AHP to determine the relative importance of six external delay factors categorized under the PESTEL framework, Political, Economic, Social, Technological, Legal, and Environmental and Fuzzy TOPSIS to rank six commonly used lean construction tools. Expert opinions were collected through semi-structured interviews with experienced professionals in the construction industry, and fuzzy logic was applied to manage the subjectivity and ambiguity of linguistic assessments.
The results show that Daily Huddle Meetings, 5S, and Kanban are the most effective tools for mitigating external delays, consistently ranking highest across all weighted criteria. The findings demonstrate that the proposed Fuzzy AHP–TOPSIS model offers a practical, replicable, and flexible approach for tool prioritization under uncertainty. It is recommended that construction practitioners adopt the top-ranked tools to proactively address delay risks and improve project delivery outcomes.
Additionally, future studies may expand the scope of the model by incorporating more tools, broader evaluation criteria, and testing across diverse construction settings or other industry sectors to enhance its applicability and generalizability.