Ahmad Makui

Iran University of Science and Technology

Papers

Total Citations

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About

Ahmad Makui is a leading figure in the field of decision science, with a focused expertise in Multiple Criteria Decision Making (MCDM) and Data Envelopment Analysis (DEA). His primary research addresses the critical challenge of technology selection, particularly for advanced manufacturing technologies (AMT). Makui’s major contribution lies in developing novel, practical common-weight methodologies that integrate MCDM and DEA to evaluate both quantitative and qualitative outputs. His 2011 paper, "An MCDM-DEA approach for technology selection," which has garnered 7 citations, provides a robust framework for selecting optimal technologies by improving discriminating power among competing alternatives. Earlier foundational work, such as his 2008 study on technology selection with mixed outputs (4 citations), introduced a Multi-Objective Linear Programming (MOLP) approach, while his 2010 paper (2 citations) refined this into a practical compromise solution for industrial managers. Collectively, Makui’s research equips decision-makers with transparent, efficient tools to navigate the complexity of modern technology choices, directly impacting management of technology practices. His work is essential reading for students and researchers interested in operational research, production management, and strategic technology assessment.