M. Amini
Papers
1
Total Citations
2
H-Index
1
About
Dr. M. Amini is a researcher in operations research and decision science, with a primary focus on efficiency evaluation and technology selection. Their most notable contribution is the development of a "Practical Common Weight Maximin Approach for Technology Selection" (2014), which introduced an innovative method for assessing the relative efficiency of decision-making units (DMUs) with multiple outputs and a single input. This approach significantly enhances discriminating power in performance analysis, offering a robust tool for practitioners in fields like engineering and management. While their work has garnered 2 citations, its methodological rigor and practical applicability mark it as a foundational piece for advancing common weight models in data envelopment analysis. Dr. Amini’s research bridges theoretical optimization and real-world decision-making, providing a framework that improves the accuracy and fairness of technology selection processes. Their contributions are particularly valuable for researchers and students exploring efficiency measurement, multi-criteria decision-making, and performance benchmarking.
Research Focus
Key Achievements
Top Papers
- 1Practical Common Weight Maximin Approach for Technology Selection2 citations · 2014