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Faculty Profile

SAYAN MUKHERJEE

ASSISTANT PROFESSOR

Area:

Operations and Information Science

Edu:

B.E (Computer Science and Engineering), Ph. D (Production Operations and Decision Sciences)

Biography

  • Prof. Sayan Mukherjee has done is Post-doc from Rutgers, the State University of New Jersey. He is a Fellow in Management in Production, Operations and Decision Sciences from XLRI, Jamshedpur. He also has a Bachelors in Computer Science and Engineering from Jadavpur University, Kolkata.

Teaching

  • Operations Management
  • Supply Chain Management
  • Operations Research
  • Service Operations Management

Research

    Sayan has research interest in the following areas:

  • Healthcare and Public Health Modelling
  • Matching and Heterogeneity Analytics
  • Supply Chain Risk and Disruption Management
  • Locational Analysis and Vehicle Routing
  • Modal Choice Models

Publications

  • Mukherjee, Sayan, Vijayaraghavan, T.A.S. & Mishra, Rajiv,

    “Towards a Method for Calculating Detectability Score for Supply Chain Risks: A Fuzzy TOPSIS and Fuzzy AHP approach”, Proceedings of The Decision Sciences Institute Annual Meeting, Seattle, United States of America, November 2015.

  • Mukherjee, Sayan, & Vijayaraghavan, T.A.S. 2014,

    “An Empirical Study of Supply Chain Risks and a Predictive Model for Risk Mitigation Plan: An Indian Perspective” Karuna Jain, L.Ganapathy, Ravindra Gokhale and R. Mukundan, eds., Manufacturing Excellence: Imperative for Emerging Economies, Mumbai, Excel India Publishers, pp. 203-209.

  • Biswas, Shibasis, Mukherjee, Sayan, & Mukhopadhyaya, Krishnendu,

    “A Countermeasure against Traffic-Analysis based Base Station Detection in WSN”, Proceedings of International Conference on High Performance Computing, Goa, India, December,2007.

Conferences and Workshops

  • Mukherjee, S., Vijayaraghavan, T.A.S. and Misra, R. “Estimating impact of supply chain risk mitigation plans: A Loss Distribution and Bayesian Belief Network approach”, The Decision Sciences Institute Annual Meeting, Washington D.C., November, 2017.
  • Chester, S., Baveja, A., Bezrukova, K., Yang, H., Mammo, A., Mukherjee, S. “Who gets good care? Bias and Resource based perspectives of quality of care in hospitals”, Industry Studies Conference, Washington, D.C., May, 2017.
  • Mukherjee, S., Dobrzykowski, D. and Baveja, A. “Impact of healthcare reform on hospital suppliers”, Production and Operations Management Society (POMS) Annual Conference in Orlando, Florida, May, 2016.
  • Baveja, A., Lydon, S., Lyons, K. and Mukherjee, S. “A diversity match index to mitigate observer bias”, Diversity & Inclusion Symposium, Rutgers, The State University of New Jersey, April, 2016.
  • Mukherjee, S., Vijayaraghavan, T.A.S. and Misra, R. “Towards a Method for Calculating Detectability Score for Supply Chain Risks: A Fuzzy TOPSIS and Fuzzy AHP approach”, The Decision Sciences Institute Annual Meeting, Seattle, November, 2015.
  • Mukherjee, S., Vijayaraghavan, T.A.S., Misra, R and Baveja, A. “Modelling optimal portfolio selection of mitigation plans for supply chain risks”, Institute for Operations Research and Management Sciences (INFORMS) Annual Meeting, Philadelphia, November, 2015.
  • Mukherjee, S., Vijayaraghavan, T.A.S. “An Empirical Study of Supply Chain Risks and a Predictive Model for Risk Mitigation Plan: An Indian Perspective”, Production and Operations Management Society (POMS), NITIE Mumbai, India, December, 2014.
  • Biswas, S., Mukherjee, S. and Mukhopadhyaya, K. “A Countermeasure against Traffic-Analysis based Base Station Detection in WSN”, International Conference on High Performance Computing, Goa, India, December, 2007.

Awards

    Not Applicable

Media Coverage

    Not Applicable