Operations Management
Currently working as Assistant Professor in Operations Management & Quantitative Techniques area at Indian Institute of Management Bodh Gaya (since October 10, 2018). online
Completed my FPM/Ph.D. (on May 2, 2018).
FPM (Ph.D.), Indian Institute of Management Calcutta, Kolkata, West Bengal,
PGDM (MBA), Indian Institute of Management Ranchi, Ranchi, Jharkhand,
B. Sc. (Maths Hons), Magadh University, Bodh Gaya, Bihar.
Operations Research,
Data Envelopment Analysis,
Application of DEA in higher education sector of India,
n:1 match making algorithm with rank order list.
1. Singh, Sanjeet, & Ranjan, Prabhat (2018). Efficiency analysis of non-homogeneous parallel sub-unit systems for the performance measurement of higher education. Annals of Operations Research, October 2018, Volume 269, Issue 1-2, pp 641-666. online.
2. Ranjan, Prabhat, & Singh, Sanjeet (2019). System Efficiency Evaluation of Homogeneous Parallel Production Systems: An Aggregation Approach. Journal of the Operational Research Society. online.
1. Ranjan, Prabhat, & Singh, Sanjeet (March 2018). A New Algorithm for Student-Optimal Matching: A Framework for Management Institution’s Admission in India. Indian Institute of Management Calcutta - Working Paper Series - 805. online.
Presented:
1. Ranjan, Prabhat*, & Singh, Sanjeet (2016, July 2-5). Non-homogeneous independent sub-unit system efficiency evaluation under interval weights. Paper presented at the DEA International Conference 2016, Nanjing Audit University, Nanjing, China.
2. Ranjan, Prabhat*, & Singh, Sanjeet (2016, December 12-14). Cross efficiency approach for non-homogeneous parallel sub-units: A case of ranking in higher education. Paper presented at the 49th Annual Convention of ORSI and International Conference on Analytics in Operational Research 2016, BIMTECH, Greater Noida, India.
3. Singh, Sanjeet*, & Ranjan, Prabhat (2017, June 26-29). Efficiency Analysis of Higher Education Institutions: Use of Categorical Variables. Paper presented at the 15th International Conference on Data Envelopment Analysis (DEA 2017), University of Economics, Prague, Czech Republic.
* presented by