Skip to main content

IEOR e-seminar by Dr. Pankaj Kumar

Title: Performance Modeling and Reliability Prediction of Fault-Tolerant Machining Systems.

Speaker: Dr. Pankaj Kumar.

Day, Date and Time: Friday, November 12, 2021, 9:30 AM to 10:30 AM.

Abstract:
The performance analysis of Markovian and non-Markovian queueing and reliability models plays a vital role in designing real-time fault-tolerant machining systems. To avoid the failures and faults of the machining parts, the performance modelling and reliability prediction issues need to be addressed during the design, development, and operation phases of such systems. The focus of the present talk is to develop some performance models for the repairable multi-component systems in the general frameworks by including the noble concepts of service interruption under the assumptions of vacation, working vacation, and unreliable server, etc. We shall discuss some queueing and reliability models for the performance prediction of fault-tolerant machining systems (FTMS) by incorporating various realistic features such as standby support, switching failure, reboot, recovery, etc. To deal with the performance metrics of real-time machining systems, the stochastic models based on queueing and reliability theory have developed under the assumptions of standby support, unreliable server, imperfect coverage, reboot/recovery vacation and working break-down etc. The cost optimization and evaluation of optimal parameters of the concerned systems have been done using various methods such as quasi-Newton method, direct search method, harmony search approach, etc. We shall also present the admission control policy and performance metrics of a fault-tolerant system in the fuzzy environment. The concerned system is supported by redundancy, reboot provisioning, and a facility of a single server for repairing the failed components.

The queueing and reliability models developed for the performance analysis of FTMS provide valuable insights for future system design and capacity enhancement in abundant blocking/delay situations encountered in the machining environment. The queueing and reliability models investigated for the machining systems in fuzzy environments facilitate valuable insights to the system analysts, developers, and practitioners to frame optimal and efficient design of the FTMS having crisp and/or imprecise system descriptors.
 

Brief biography:
Dr. Pankaj Kumar received the M.Sc. and PhD degree from the Department of Mathematics, IIT Roorkee,Roorkee, India, in 2012 and 2021, respectively. After completing the PhD, he has worked as a research associate till Sep 30, 2021. His main research interest includes Queueing/Reliability models, Fault-Tolerant Machining Systems, Stochastic Processes and Optimization. Over ten papers in SCI ranked journals and conferences, including Reliability Engineering and System Safety, ISA transactions, Journal of Ambient Intelligence and Humanized Computing and Arabian Journal for Science Engineering. He has attended more than ten national/international conferences and workshops. He was the recipient of MHRD fellowship while carrying out his doctorate work (Dec 2015-Dec 2020). He also cleared CSIR JRF in June 2017 and UGC-NET in Dec 2017.

MS Teams link: Click here to join