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Nagesh Shukla

Welcome (NOTE: Dr. Nagesh Shukla has moved to SMART Infrastructure Facility, Australia) 

About Me 

Dr. Nagesh Shukla has joined the Warwick Digital Lab under Warwick Manufacturing Group (WMG), University of Warwick as a PhD student in October 2007. He has recieved a very prestegious award, Dorothy Hodgkin Postgraduate Award, from UK Research Councils which is a UK scheme to bring outstanding students from different countries to study in top rated UK research facilities. He finished his PhD in Engineering and is a member of SMART Infrastructure Facility, Australia.

About My Research 

His primary interest is on improving the service delivery system modelling, simulation and analysis. His other interest involves sensor placement in multi-station assembly processes, evolutionary algorithms, engineering applications of evolutionary algorithms. His papers are published in several international journals and conferences of high impact. Currently, he is working on the project involving General Electric Healthcare, University Hospitals Coventry and Warwickshire, and University of Warwick. The project aims to improve the performance of radiology department in hospital by developing methodologies for effective and efficient system modelling, simulation, and analysis. The research aims at developing logical and systematic framework for improvements in service systems of the hospitals. The research in this area is divided into three sub areas:

Service System Modelling: This step includes development of methodologies for effective and efficient modelling of processes in the service system. The static model of service system is initially developed based on role activity diagram (RAD) (Task 1.1). The time related information about the activities are gathered with the help of radio frequency identification (RFID) based tracking data (Task 1.2). Further, variations in the service system are modelled and are represented in form of multiple RAD models of system (Task 1.3).
Service System Simulation: The knowledge obtained from service system modelling is utilized to develop dynamic model of the system (Task 2). The multiple RAD models representing system variations are simulated in dynamic model as scenarios.
Service System Analysis: The simulation model of the system is used to analyze and evaluate different scenarios for improvements (Task 3). The productivity of complex medical devices is studied in Tasks 4. Finally, Task 5 will generate the implementation plan for service system for improvement.

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"Success is not final, failure is not fatal: it is the courage to continue that counts" - Winston Churchill

 

 


Nagesh

Nagesh Shukla

Contact Me

nshukla at uow dot edu dot au