Indrajit Mukherjee

Assistant Professor

Shailesh J. Mehta School of Management
Indian Institute of Technology Bombay
Powai, Mumbai, PIN 400076
INDIA

Telephone :  (+91-22) 25767742 (office)/ (+91-22) 25768742 (Residence)
Email  :  indrajitmukherjee@iitb.ac.in

 

 

 

 

 

Education

Research Interests

Quality Engineering & Management (Manufacturing and services),  Metaheuristic techniques and their applications in Process Optimization, Artificial Intelligence and Multivariate Regression Approach for Process Modelling & Control, multivariate control charts, variability in supply chain.

Teaching Interests
 

Quality Management             Operations Management - I             Operations Management - II

 


For Course Participants: Course website is accessible in IIT Bombay only and requires user id and password which will be provided in the first session of the course.

Positions Held

Academic

Industry

  • Senior Engineer, TataMotors Limited, Central Quality, Pune Division, India (August '01 - September '02)

Publications

              In Refereed Journals (Published/Accepted)

  1. Sasadhar Bera and Indrajit Mukherjee, “ An Adaptive Penalty Function-based Maximin Desirability Index for Close Tolerance Multiple Response Optimization Problems ", International Journal of Advanced Manufacturing Technology, Accepted, October, 2011.
  2. Indrajit Mukherjee and Srikanta Routroy, “ Comparing the Performance of Neural Networks Developed by Using Levenberg-Marquardt and Quasi-Newton with the Gradient Descent Algorithm for Modelling a Multiple Response Grinding Process, Expert Systems with Applications, "Accepted, August, 2011.
  3. Indrajit Mukherjee and Pradip Kumar Ray, “Ascendancy of a modified tabu search for multi-stage non-linear multiple response constrained optimisation problem", Int. J. Productivity and Quality Management, Vol. 9, No. 3, pp. 352-381, 2012
  4. Sudipto Sikdar and Indrajit Mukherjee, “A Holistic Framework for Multiple Response Optimization of Hot Strip Rolling Process", Materials and Manufacturing Processes, Taylor &Francis, In Press, 2010.
  5. Indrajit Mukherjee and Pradip Kumar Ray, “Quality Improvement of Multistage and Multi-response Grinding Processes: An Insight into Two different Methodologies for Parameter Optimization”, International Journal of Productivity and Quality Management (IJPQM) V 4 (5/6), 2009, 613-643.  
  6. Indrajit Mukherjee and Pradip Kumar Ray, “A Case-based and Practical Approach for Multivariate Modelling of Grinding Process”, International Journal of Advanced Manufacturing Technology , V 45 (3/4), 2009, 245-260  
  7. Indrajit Mukherjee and Pradip Kumar Ray, “A Systematic Solution Methodology for Inferential Multivariate Modelling of Industrial Grinding Process”, International Journal of Materials Processing Technology , V 196, 2008, 379-392.  
  8. Indrajit Mukherjee and Pradip Kumar Ray, “A Modified Tabu Search Strategy for Multiple- Response Grinding Process Optimization”,International Journal of Intelligent Systems Technologies and Applications  (IJISTA) , V4 (N 1/2), 2008, 97-122.  
  9. Indrajit Mukherjee and Pradip Kumar Ray, “Optimal Process Design of Two-Stage Multiple Response Grinding Processes using Desirability functions and Metaheuristic Techniques”,International Journal of Applied Soft Computing ,8(1), 2007, pp. 402-421.  
  10. Indrajit Mukherjee and Pradip Kumar Ray, “A Modified Tabu Strategy for Continuous Variable Constrained Optimization Problem” , Vision-Journal of Management and Allied Sciences , V III (3), 2007, 1-5.  
  11. Indrajit Mukherjee and Pradip Kumar Ray, “A Review of Optimization Techniques in Metal Cutting Processes”  Computers & Industrial Engineering, 50, 2006, 15-34.  
  12. Indrajit Mukherjee and Pradip Kumar Ray, “Metaheuristic Strategies for Non-linear Multi-response Grinding Process Optimization” ICFAI Journal of Operations ManagementV (2), 2006, 35-56.    

 

Book / Chapters (Published)

1.        Indrajit Mukherjee and Pradip Kumar Ray, “Artificial Neural Network and Metaheuristic Strategies: Emerging Tools for Metal Cutting Process Optimization”, Handbook on Computational Intelligence in Manufacturing and Production Management, Idea Group Inc (IGI), Chapter XIX, pp 366-397.

2.        Indrajit Mukherjee and Pradip Kumar Ray, “Technology Management of Grinding Process using Quality Control Methods: A Multivariate Regression and Neural Network Application”, Technology and Innovation Management, Advanced Research Series, Macmillan India, July, 2008.

3.        Indrajit Mukherjee, “Quality Improvement by using Designed Experimentation" in the preciding of ' , Advances in Rubber Technology from Micro to Nano’ (ART-2010), Jan 2010, IIT Kharagpur India,

4.        Indrajit Mukherjee, “Recent Trend of Applied Research in the Area of Quality Engineering & Management", Silicon India Magazine, , December 2009 issue.

5.        Sasadhar Bera and Indrajit Mukherjee, "A Synergistic Approach of Desirability Functions and Metaheuristic Strategy to Solve Multiple Response Optimization Problems",IAENG Transactions on Engineering Technologies, to appear in 2011

         In Refereed Conferences

  1. Kasturi Bardhan, Indrajit Mukherjee, Madhumita Kundu (Pal), "MCEWMA Control Chart to Detect Small Shift for Autocorrelated Water Treatment Process Responses", to appear in Proceedings of IEEE International Conference on Quality and Reliability, Bangkok, Thailand, 2011
  2. Sasadhar Bera and Indrajit Mukherjee, “Sasadhar Bera and Indrajit Mukherjee, “Performance Analysis of Nelder-Mead and A Hybrid Simulated Annealing for Multiple Response Quality Characteristic Optimization”, Proceedings of International MultiConference of Engineerings and Computer Scientists, 2010, V III,March 2010, pp 1728-1732. 
  3. Sasadhar Bera and Indrajit Mukherjee, “A Generalized Strategy for Multiple Response Quality Characteristics Optimization”, In the proceedings of International Conference of Operations Research Applications in Engineering and Management (ICOREM), Tiruchirappalli, May’09, pp 1067-1081. 
  4. Indrajit Mukherjee, “Effects of Varied Process Constraint Conditions on performance of a Simulated Annealing algorithm for a Multi-stage, and Non-linear Multi-response Optimization Problem”,  Proceedings of International Conference on Decision Sciences in Global Enterprise Management, IIT Bombay, 2009, 327-339. 
  5. Indrajit Mukherjee and Pradip Kumar Ray, “Multi-response grinding process functional approximation and Its Influence on solution quality of a modified Tabu Search”, Proceedings of IEEE International Conference on Industrial Engineering & Engineering Management (IEEM 2007), Singapore, 837-841.
  6. Indrajit Mukherjee and Pradip Kumar Ray, “A Tabu Search-based Near Optimal Solution Strategy for a Two-Stage CNC Grinding Processes”,  Proceedings of National Conference on Advances in Mechanical Engineering (AIME-2006), JMI, Delhi, January, 2006, 387-393. 
  7. Indrajit Mukherjee and Pradip Kumar Ray, “Near Optimal Grinding Process Design using Neural Network and Real Coded Genetic Algorithm”, Proceedings of 8th Biennial Conference on Engineering System Design and Analysis, ASME, 2006, 1-7.
  8. Indrajit Mukherjee and Pradip Kumar Ray, “A Tabu Search Strategy for Nonlinear Multi-Response Optimization of Two-Stage Grinding”, Proceedings of 36’th International Conference on Computers and Industrial Engineering, Taipei, Taiwan, , 2006,  485-496.
  9. Indrajit Mukherjee and Pradip Kumar Ray, “ A Tabu Search Strategy for Constrained Nonlinear Multivariate Grinding Optimization Problem”, Proceedings of International Conference On Global Manufacturing and Innovation (An Advanced Optimization Approach), Coimbatore, India, In the book of Abstract, 2006, 147-148
  10. Indrajit Mukherjee and Pradip Kumar Ray, “Near Optimal Grinding Process Design using Neural Network and Simulated Annealing”, Proceeding of the National Conference on Soft Computing Techniques for Engineering Applications, NIT, Rourkela, India, 2006, 84-93.
  11. Indrajit Mukherjee and Pradip Kumar Ray, “A Simulated Annealing Approach to Determine Near Optimal Process Conditions for Grinding Processes”, In the proceedings of International Conference on Advances in Materials, Product Design and Manufacturing Systems (ICMPM 2005),  Eroda, Tamil Nadu, December 2005, 806-811.
  12. Indrajit Mukherjee and Pradip Kumar Ray, “A Framework for Managing Quality by Process Optimization Methods in Metal Cutting Processes”, IX Annual International Conference of the Society of Operations Management, School of Management, Pondicherry University, Pondicherry India, 2005.
  13. Indrajit Mukherjee and Pradip Kumar Ray, “An Integrated Approach To Determine Near Optimal Conditions for a Two-Stage CNC Grinding Processes”, Proceedings of 12’th National Conference on Machines and Mechanisms (NaCoMM-2005), IIT, Guwahati
  14. Sasadhar Bera and IndrajitMukherjee , "Mahalanobis Distance-based Diversification and Nelder-Mead Simplex Intensification Search Scheme for continuous Ant Colony Optimization"

         Projects

  1. Working in area of “Desirability indices for process optimization”, sponsored by IIT Bombay 
  2. Working in area of “Multiple response optimization”, Sponsored by Department of Science & Technology (DST), Government of India. 

         MDP Programs

  1. General Management (GMPTP for Hughes, Batch 1, 2008, Lectures on Operations Management)
  2. Supply Chain Management (CPSCM for Hughes,2009, Lectures on Variability reduction and MRP and also one of the Coordinator for the overall programme)
  3. Operations Management for eClerx (Lectures, 2009)

         Invited Lectures

  1. Quality Improvement by using Designed Experimentation, Short Term Course on Advances in Rubber Technology from Micro to Nano’ (ART-2010), January, Rubber Technology Centre, IIT Kharagpur
  2. Design of Experiment for Steel Plant, Tata Steel, June 2011
  3. Statistical Techniques for Management, Tata Steel, June 2011

         PhD Student

  1. Sasadhar Bera (working on and from Jan 2009)
  2. Ms Sheila Roy (working on and from Jan 2010)

   Family Members

Nabanita (Wife), Ishana (Daughter)

 

 

IIT Bombay | School of Management