Akademik Veri Yönetim Sistemi
Journal of the Faculty of Engineering and Architecture of Gazi University, cilt.41, sa.1, ss.307-321, 2026 (SCI-Expanded, Scopus, TRDizin)
This study highlights the structural differences among the projects of the Presidency of Defence Industries (SSB) in terms of size, scope, budget, and timeline, revealing that these projects inherently involve a high degree of uncertainty. It emphasizes that such uncertainties pose significant risks from a project management perspective. The primary objective of this research is to develop a novel method that enables project planning processes to be carried out more effectively, systematically, and based on quantitative foundations, by accounting for the aforementioned uncertainties and risk factors. Within this scope, projects have been classified according to their descriptive characteristics, and a complexity coefficient has been calculated for each project. These coefficients have been utilized as a fundamental parameter in the development of decision support systems (DSS), in conjunction with multi-criteria decision-making (MCDM) methods. As part of the DSS, personnel workload analysis has also been conducted. The proposed model offers a planning and management perspective aligned with the strategic importance of defense industry projects, while also presenting an original and practice-oriented framework to support the management of uncertainties encountered in such projects. The implementation study conducted tests the validity of the model and aims to address significant gaps in the existing literature. The research findings provide concrete recommendations for rationalizing decision-making processes, improving resource allocation, and managing uncertainties in defense industry projects.