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College of Computing and Mathematics
Industrial and Systems Engineering Department
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Presents a Seminar on
"A Novel Surveillance Approach for Time-Between-Events"
Date: Wednesday, 20th Oct, 2021
Time: 2:00 pm – 3:00 pm
Location: 22-125 and
Online: ZOOM (Meeting ID : 822 3363 6951) (Passcode : S5qBVv)
Speaker:
Dr. Tahir Mahmood
Assistant Professor
Industrial and Systems Engineering Department
King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Abstract:
In the era of industry 4.0, systems are well equipped with modern tools; therefore, most of the systems are highly reliable, efficient and cost-effective. However, some systems are still facing unexpected events, which are causing high maintenance and repair costs. Such events can be defects, breakdowns, or significant deterioration of the components. Usually, the reliability and lifetime of a system are dependent on the lifetime and deterioration of its components. Therefore, it is often of interest to detect changes in the lifetime of a system by evaluating the counts of events or time-between-events (TBE). This talk will mainly focus on the surveillance of TBE data, which has become increasingly popular in recent years, e.g., in monitoring production lines, syndromic surveillance, cybercrime monitoring, and social network monitoring. Unfortunately, in literature, very few methods are available for bivariate TBE monitoring, and they are designed in such a way that they are facing build-in delay in the monitoring. So, to overcome this build-in delay, we have developed a novel bivariate TBE (BTBE) method under several bivariate lifetime distributions (i.e., Gumbel's Bivariate Exponential, Marshall Olkin Bivariate Exponential and Marshal Olkin Bivariate Weibull). We have derived the analytical expression for the BTBE control limits and provided the performance evaluation of the BTBE chart and its comparison with the existing MEWMA chart in terms of average time-to-signal. Further, the proposed BTBE method is implemented on a real-life dataset related to AIDS to highlight the importance of the stated proposal.
Speaker Bio:
Dr Tahir Mahmood got his degree of BS (Hons.) in Statistics with distinction (Gold Medalist) from the Department of Statistics, University of Sargodha, Sargodha, Pakistan. He has received MS (Applied Statistics) degree from the Department of Mathematics, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. He received his PhD degree from the Department of Advanced Design and Systems Engineering, City University of Hong Kong, Kowloon, Hong Kong. Nowadays, he is an Assistant Professor in the Industrial and Systems Engineering Department, KFUPM, Dhahran, Saudi Arabia. Before this, he worked as a lecturer in the Hong Kong Metropolitan University, Kowloon, Hong Kong, for one year. His current research interests include Statistical Process Monitoring, Data Science and Generalized Linear Modeling.
All faculty, researchers and graduate students are invited to attend.
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Industrial and Systems Engineering Department, College of Computing and Mathematics
Telephone: +966 (13) 860 2988, Email: c-se@kfupm.edu.sa, Website: www.kfupm.edu.sa/departments/se/
Copyright © 2014 King Fahd University of Petroleum & Minerals
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