Faculty At Mechanical Department



Anupam Das
Anupam Das
Assistant Professor
Basic Information Research Interest:-Quality Engineering, Operations Management, Supply Chain Management
Email :- anupam.das@nitp.ac.in
Phone :-

Subjects Teaching in Department
  1. Statistical Quality Control
  2. Operations Management
  3. Research Methodology
Educational Qualification
  1. B. Tech - North Eastern Regional Institute of Science and Technology
  2. PhD - IIT Kharagpur
  3. M.E. - B.I.T. Mesra
    Memberships & Society
    1. SAE India
      Current Administrative Responsibility
      1. Departmental TEQIP-III Coordinator
      2. Warden - Brahmaputra Hostel
        Past Administrative Responsibility
        1. Asst. Warden Sone Hostel
        2. Warden Sone Hostel
          Work Experiences
          1. Sikkim Manipal Institute of Technology- March 2009 to Sept 2010
          2. KIIT University - Sept 2010 to July 2011
          3. Gautam Buddha University - July 2011 to Sept 2013
            Journals
            1. Anupam Das, Multivariate statistical monitoring strategy for an automotive manufacturing part facility. Materials Today: Proceedings. 27(3) - 2020,2914-2917, Https://doi.org/10.1016/j.matpr.2020.03.515.
            2. Swarnambuj Suman and Anupam Das, Unified Process Monitoring Strategy for a Facility Engaged In the Production of Multiple Portfolio of Products. International Journal of Productivity and Quality Management. 29(2) - 2020,233-249, .
            3. Prasun Das, Susanta Kumar Gauri, Anupam Das, Debolina Chatterjee , Modelling HSLA steel product quality under multi-stage manufacturing set up using multi-block partial least square regression. International Journal of Productivity and Quality Management. 27(2) - 2019,177-195, .
            4. Swarnambuj Suman and Anupam Das, Stratified statistical monitoring strategy for a multi-product manufacturing facility with early detection approach. Computers & Industrial Engineering. 130 - 2019,551-564, .
            5. Swarnambuj Suman and Anupam Das, Monitoring of an ingot making facility via principal component analysis and its variants. International Journal of Productivity and Quality Management. 26(1) - 2019,74-95, .
            6. Pulkit Rana, Anupam Das, Swarnambuj Suman and Jhareshwar Maiti , A statistical monitoring strategy for a pulp and paper industry. International Journal of Industrial and Systems Engineering. 28(4) - 2018,530-545, .
            7. Das, A., Suman, S. and Sinha, A. K. , Development of multivariate process monitoring strategy for a typical process industry. International Journal of Productivity and Quality Management. 22(1) - 2017,1-21, .
            8. Sharma, R. G., Das, A. and Suman, S., Framework-based on SQC and DMAIC to monitor die casting process parameters . International Journal of Industrial and Systems Engineering. 23(2) - 2016,204-222, .
            9. Das, A., Mondal, S., Thakkar, J. J. and Maiti, J., A methodology for modeling and monitoring of centrifugal casting process . International Journal of Quality and Reliability Management. 32(7) - 2015,718-735, .
            10. Das, A., Maiti, J. and Banerjee, R. N, Process monitoring and fault detection strategies: A review . International Journal of Quality and Reliability Management. 29(7) - 2012,720-752, .
            11. Das, A., Maiti, J. and Banerjee, R. N., Process Control Strategies for a Steel Making Furnace using ANN with Bayesian Regularization and ANFIS. Expert Systems With Applications. 37(2) - 2010,1075 – 1085, .
            12. Das, A., Maiti, J. and Banerjee, R. N. , A Hierarchical Process Monitoring Strategy for a Serial Multi-stage Manufacturing System. International Journal of Production Research. 48(8) - 2010,2459 – 2479, .
            13. Das, A., Maiti, J. and Banerjee, €�Process monitoring strategy for a steel making shop: a partial least squares regression – based approach. International Journal of Productivity and Quality Management. 3(3) - 2008,340-359, .
            14. Swarnambuj Suman and Anupam Das, Monitoring strategy for a multistage manufacturing facility using K-means clustering technique. International Journal of Industrial and Systems Engineering. Accepted10.1504/IJISE.2020.10023947.
              Phd Students
              1. Bhagwan Kumar Mishra ( 2018 - Continue).
              2. Ashish Kumar ( 2018 - Continue).
              3. Swarnambuj Suman - Awarded ( 2014 - 2019 ).