Date of Award
3-2025
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Systems Engineering and Management
First Advisor
Jeremy R. Geiger, PhD
Abstract
This thesis investigates the application of Decision Analysis Theory to optimize space allocation at the Air Force Institute of Technology (AFIT). Through a Multi-Objective Decision Analysis (MODA) framework, this study addresses existing methodologies for space allocation in military, academic, and office settings; the rules, limitations, and factors influencing space utilization at AFIT; and approaches to improve office and lab allocations for institutional efficiency and fairness. This research incorporates qualitative and quantitative metrics, including faculty and student data, research outputs, and historical space usage. These findings highlight significant complexities in space allocation, particularly in reconciling administrative and research requirements with structural and organizational constraints. Sensitivity analyses reveal the robustness of the MODA framework under varying stakeholder priorities and emphasize the importance of stakeholder engagement for transparent and equitable decisions. This study concludes with recommendations for optimizing space allocation within AFIT, providing a replicable decision-making model for similar institutions facing space constraints and evolving organizational needs.
AFIT Designator
AFIT-ENV-MS-25-M-058
Recommended Citation
Soriano, Damian N., "The Application of Decision Analysis Theory for Space Allocation at The Air Force Institute of Technology" (2025). Theses and Dissertations. 8229.
https://scholar.afit.edu/etd/8229
Comments
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Distribution Statement A: Distribution Unlimited. Approved for public release. PA case number: 88ABW-2025-0359