Measuring Efficiency of the Indian Pharmaceutical Sector with Simple Additive Weighting (SAW) MCDM Method
DOI:
https://doi.org/10.53573/rhimrj.2022.v09i06.007Keywords:
Efficiency, Pharmaceutical Sector, Simple Additive Weighting (SAW), RankingAbstract
This paper measures operational and financial efficiency of selected major Indian pharmaceutical firms up to the year 2021 using a multi-criteria decision-making (MCDM) approach — Simple Additive Weighting (SAW). We construct a set of financial and operational criteria, normalize the data, apply expert weights, and rank firms. The analysis is illustrative and demonstrates SAW as a transparent tool for comparative efficiency assessment. From the SAW ranking, firms with strong profitability (ROE and Net Profit Margin), adequate asset utilization and significant export orientation score higher.
References
Economic Survey 2020-21. Government of India. (2021).
India Brand Equity Foundation (IBEF). (2021). Indian Pharmaceuticals Industry. https://ibef.org/industry/pharmaceutical-india
Goodridge, W. S. (2016). Sensitivity Analysis Using Simple Additive Weighting Method. International Journal of Information Systems and Applications.
Hwang, C.-L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Springer.
Fishburn, P. C. (1967). Additive utilities with incomplete product sets: Application to priorities and assignments. Operations research, 15(3), 537-542.
Wang, P., & Triantaphyllou, E. (2016). A novel hybrid MCDM model combining SAW and TOPSIS.
Emerald. (2021). Efficiency and Total Factor Productivity Growth of Indian Pharmaceutical Industry: firm-level studies.