Majid Zohrehbandian
Papers
2
Total Citations
11
H-Index
2
About
Majid Zohrehbandian is a researcher whose work sits at the intersection of multiple criteria decision making (MCDM) and data envelopment analysis (DEA), with a particular focus on technology selection. His major contributions lie in developing practical, common-weight methodologies that improve the discriminating power of decision-making models, especially when evaluating advanced manufacturing technologies. In his 2011 paper, "An MCDM-DEA approach for technology selection" (7 citations), he extended prior work by integrating MCDM with DEA to create a more robust framework for ranking technology alternatives. Earlier, in 2008, his paper "Technology selection with both quantitative and qualitative outputs" (4 citations) introduced a novel common-weight multi-objective linear programming (MOLP) approach, enabling the simultaneous evaluation of both quantitative and qualitative outputs—a significant step forward for real-world industrial applications. While his citation counts reflect a focused and specialized impact, these works have provided foundational tools for researchers and practitioners in engineering management and operations research, helping to bridge the gap between theoretical optimization and practical technology assessment.
Research Focus
Key Achievements
Top Papers
- 1An MCDM-DEA approach for technology selection7 citations · 2011
- 2Technology selection with both quantitative and qualitative outputs4 citations · 2008