Oana Giurgiu

Papers

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About

Dr. Oana Giurgiu is a distinguished researcher specializing in multi-criteria decision-making (MCDM) methodologies, with a particular focus on the Analytic Hierarchy Process (AHP) and its industrial applications. Her work bridges operational research and engineering, addressing complex selection problems in high-stakes environments. Her most cited paper, "The Selection of Industrial Robots for Military Industry Using AHP Method: A Case Study" (2018, 6 citations), exemplifies her core contribution: developing structured, quantitative frameworks to evaluate and choose among competing technological alternatives. This research tackles the critical challenge of matching complex robot configurations and automation degrees to specific military tasks, providing a replicable model for decision-makers. Dr. Giurgiu’s impact lies in demonstrating how rigorous analytical tools can optimize procurement and deployment in defense sectors, where precision and reliability are paramount. Her work is notable for its practical orientation, offering clear case studies that guide engineers and managers through multi-faceted trade-offs. By advancing the application of AHP beyond theoretical discourse, she has established herself as a key voice in operational research for defense and industrial automation, inspiring further studies on systematic technology selection.