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Faculty

Dr. Pushparenu Bhattacharjee

Dr. Pushparenu Bhattacharjee

Assistant Professor, Operations

Dr. Pushparenu Bhattacharjee is an Assistant Professor- Operations at the Institute of Management Technology (IMT) Nagpur, India.

Academic Biography
  • Ph.D (Production Engineering), in 2023 from National Institute of Technology, Agartala
  • M.E (Production Engineering), in 2013 from Jadavpur University, Kolkata
  • B.Tech (Production Engineering), in 2011 from National Institute of Technology, Agartala
Work Experience
  • Worked as Assistant Professor at Symbiosis Institute of Business Management, Nagpur
  • Joined as Visiting Faculty for one semester at IMT Ghaziabad in Operations.
  • Also worked as Assistant Professor at National Institute of Technology, Agartala
Academic Unit
  • Supply Chain Management
  • Operation Management
  • Service Operation Management
Research Interest
  • Supply Chain Management
  • Multi-Criteria Decision-Making (MCDM)
  • Cold Chain Management
Professional Consultancy
Research Publications
  • Debroy, A., Dadsena, K. K., Bhattacharjee, P., Verma, A., & Verma, M. (2024). Evaluating the inhibitors in the growth of High-speed railway in India: A multi-stakeholder perspective. Transport Policy. (ABDC, A)
  • Bhattacharjee, P., Dey, V., Mandal, U. K., & Paul, S. (2022). Quantitative risk assessment of submersible pump components using Interval number-based Multinomial Logistic Regression (MLR) model. Reliability Engineering & System Safety226, 108703. (ABDC, A)
  • Bhattacharjee, P., Dey, V., & Mandal, U. K. (2020). Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model. Safety Science, 132, 104967. (ABDC, A)
  • Bhattacharjee, P., Dey, V., & Mandal, U. K. (2022). Failure Mode and Effects Analysis (FMEA) using interval number based BWM—MCDM approach: Risk Expected Value (REV) method. Soft Computing26(22), 12667-12688. (Scopus, SCI)
  • Bhattacharjee, P., Hussain, S. A. I., Dey, V., & Mandal, U. K. (2023). Failure mode and effects analysis for submersible pump component using proportionate risk assessment model: A case study in the power plant of Agartala. International Journal of System Assurance Engineering and Management14(5), 1778-1798. (Scopus)