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Dr. Ramesh Kumar

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Assistant Professor Department of Statistics ramesnehra@gmail.com


Educational Qualifications

  • PhD

Areas of Specialization

  • Reliability & Stochastic Processes

Administrative roles/ responsibilities

Courses Taught

  • B.Sc. (Hons.) Statistics
  • 
    1)	(2019) ―Improving Industrial Systems Reliability — An Application in Sugar Industry‖ Journal of Industrial Integration and Management: Innovation and Entrepreneurship. (World Scientific) 4(4), 19500011.
    
    2)	 (2018) ―Operational behaviour of a clarifier system in the sugar industry using supplementary variable technique‖. International Journal of Industrial and Systems Engineering. 30(3), 365-386 
    
    3)	 (2018) ―Reliability modelling and study of failure mechanism of distillery plant using supplementary variable technique" Life Cycle Reliability and Safety Engineering. 7(3), 137-146 
    
    4)	 (2018) ―Performance Analysis and Maintenance Planning of Evaporation System in the Sugar Industry by using Supplementary Variable Technique‖, Journal of Industrial  Integration and Management: Innovation and Entrepreneurship. (World Scientific) 3(1), 1850004-22
    
    5)	(2017) ―Availability based operational behavior of B-Pan crystallization system in the sugar industry International Journal of System Assurance Engineering and Management, (Springer) 8(2), 1450-1460
    
    6)	(2017) ―Availability and profit analysis of a feeding system in sugar industry‖, International Journal of System Assurance Engineering and Management, (Springer) 8(1), 301-316  
    
    7)	 (2017) ―Reliability analysis of juice weighment system in the sugar industry by using supplementary variable technique‖. International Journal of Statistics and Reliability Engineering, 4(1), 10-19 
    
    8)	(2017) ―Performance analysis of a system of non-identical units with preventive maintenance and priority in operation‖. International Journal of Statistics and Reliability Engineering, 4(1), 29-37.
    
    9)	(2015) ―Behavioral study of manure system in sugar industry by using supplementary variable technique‖. International Journal of Statistics and Reliability Engineering, 2(2), 152-167.
    
    																
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