Reza Kiani Mavi

Qazvin Islamic Azad University, Islamic Azad University, Science and Research Branch

Papers

Total Citations

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About

Reza Kiani Mavi is a decision scientist whose work bridges multiple criteria decision making (MCDM) and data envelopment analysis (DEA) to solve complex technology selection problems. His research focuses on developing practical mathematical frameworks that help industrial managers navigate the increasingly difficult task of choosing among competing advanced manufacturing technologies. Kiani Mavi’s most influential work, "An MCDM-DEA approach for technology selection" (2011, 7 citations), introduced a novel common-weight methodology that integrates qualitative and quantitative factors for evaluating technology candidates. He further advanced this line of inquiry with "Technology selection with both quantitative and qualitative outputs" (2008, 4 citations), where he proposed a Multi-Objective Linear Programming (MOLP) approach with enhanced discriminating power to assess relative technology performance. His "Practical common weights compromise solution approach for technology selection" (2010, 2 citations) addressed the real-world dilemma managers face when confronted with rapid technological change and increasing complexity. Collectively, Kiani Mavi’s contributions provide rigorous yet implementable tools for technology evaluation, helping organizations make more informed investment decisions. His work remains relevant for researchers and practitioners in operations research, engineering management, and industrial decision-making.