KEYNOTE SPEAKERS

Keynote Speakers 1

David W. Coit

Professor

Rutgers University

Piscataway, NJ, USA

Title: Advanced Reliability Modeling and Optimization for Systems of Degrading Components

Abstract: New system reliability models and analysis tools have been developed for systems of degrading components. System reliability analyses,involving multiple failure processes, are important and challenging research topics, particularly when failure processes, such as degradation processes and random shocks,are competing and dependent. When component degradation models are extended to complex systems with multiple components, different perspectives of dependency are needed for system reliability modeling. In this talk, potential dependence patterns are investigated among multiple failure processes within and among components in systems and probabilistic models are described to assess system reliability performance. For the reliability modeling of complex systems, if one component in the system degrades or fails prematurely, it is possible that other components will also degrade or fail prematurely given the shared working environment, which means component failure times are dependent. Existing system reliability models are extended to perform quantitativeanalysesfor system reliability considering that the damages to the two failure processes caused by shocks are dependent. Theresearch isorganized into several scenarios, i.e., dependent failure processes are considered in different ways. Stochastically dependent component degradation processes are also studied, and extended gamma process models are used to model the dependent degradation process. Based on these new reliability models, different maintenance policies, including on-condition maintenance, are derived to provide cost effective maintenance plans.

Bio: Prof. David W. Coit is a Professor in the Department of Industrial & Systems Engineering at Rutgers University, Piscataway, NJ, USA. His current teaching and research involves system reliability modeling and optimization, and energy systems optimization. His research developing system reliability models has been funded by the U.S. National Science Foundation (NSF), U.S. Army, U.S. Navy, industry, and power utilities. He has been awarded several NSF grants, including a CAREER grant from NSF to develop new reliability optimization algorithms considering uncertainty. He has over 100 published journal papers and over 90 peer-reviewed conference papers. He has been the recipient of the P. K. McElroy award, Alain O. Plait award and Willian A. J. Golomski award for best papers and tutorials at the Reliability and Maintainability Symposium (RAMS). In addition to his work at Rutgers, he has been a visiting research fellow at the University of Chinese Academy of Sciences (UCAS), Beijing, China, and a visiting professor at KMUTT, Bangkok, Thailand. He also has over ten years of industrial experience working for IIT Research Institute (IITRI), Rome NY. He received a BS degree in mechanical engineering from Cornell University, an MBA from Rensselaer Polytechnic Institute, and MS and PhD in industrial engineering from the University of Pittsburgh. He is an Associate Editor for IISE Transactions, Special Issue Editor for Reliability Engineering & System Safety, and a Department Editor for Journal of Risk and Reliability, and he is a member of IIE and INFORMS.
 
Keynote Speakers 2

Dong Ho Bae

Professor

Sungkyunkwan University 

Seoul, Korea

Title: Fatigue Life Prediction and Reliability Assessment of Super Alloy Weld for Green and High Efficiency Thermal Power Plant

Abstract: The most currently, reducing environmental pollution is being raised important issue in thermal power-plant system. The most effective methodology is improving efficient of steam turbine. To improve the performance, increasing operating temperature of system above 700℃is good way to solve. Then it is necessary to develop suitable materials in this extreme condition. Among the materials developed so far, Ni-based super alloys have been good candidates due to their excellent properties such as creep strength, corrosion resistance, heat resistance, and oxidation resistance. However, in order to apply these Ni-based alloys to the steam turbine, it is necessary to develop the welding technology for similar and dissimilar materials, welding residual stress analysis, post-weld heat treatment technology and mechanical property tests under real operating conditions. In low pressure and temperature stage of steam turbine, damages of the rotors and blades are mainly caused by corrosion and corrosion fatigue. Therefore 12Cr steel is also desirable replacement for its corrosion resistance property and in terms of economical prime cost.

In this presentation, following subjects will be introduced; 1. Dissimilar material welding technology between super-Alloy 617 and 12Cr steel, 2. A numerical welding residual stress analysis method simulated actual welding process, and 3. Corrosion fatigue life prediction and reliability assessment based on probability distribution function.

Bio: Dr. Dong Ho Bae received Ph.D in Mechanical Engineering from Nihon University, Tokyo, Japan. He is a senior professor at the School of Mechanical Engineering in Sungkyunkwan University, Korea. His current interests include welding design, micro-joining & welding, environmental strength & fracture mechanics, and life prediction & reliability assessment.  He has published more than 100 papers those are indexed in SCI. He served as a president of reliability division of the Korean Society of Mechanical Engineers (KSME), general chairman of ICMR2011, 2015, and co-chairman of QR2MSE & ICMR 2013, 2017. He has received excellent paper and academic achievement awards from the KSME. He currently serves as a committee member of Institute of Korean Industrial and Technology Assessment.
 
Keynote Speakers 3

 Gregory Levitin

Professor

Israel Electric Corporation Limited

Haifa, Israel

Title: Optimization of mission abort policies

Abstract: At many instances it is important to keep a system from being destroyed or lost at a cost of not completing its mission. Therefore, to enhance survivability of critical systems performing missions associated with high risks (e.g., aircrafts and human space flight systems), continuation of the system primary task can be aborted and a rescue procedure can be initiated. The ambient conditions during performing the primary task and the rescue procedure can differ. For aborting a mission, some degradation parameter should be observed that characterizes the current state of a system. For instance, this parameter can be a number of elements failed during a mission in a standby system or a number external impacts experienced by a system. The optimal abort policy (mission abort decision rule) should balance a tradeoff either between the mission success probability and system survivability or between the expected monetary losses associated with the uncompleted mission and with the system failure. In this talk analysis and optimization of different optimal static and dynamic mission abort policies will be presented. The optimal system loading during the primary mission and the rescue procedure will also be discussed.

Bio: Prof. Gregory Levitin is presently a senior expert at the Reliability Department of the Israel Electric Corporation and distinguished visiting professor at University of Electronic Science and Technology of China. His current interests are in system reliability and defense. In this field Prof. Levitin has published more than 280 papers and four books. He is senior member of IEEE and chair of the ESRA Technical Committee on System Reliability.  From 2009 to 2016 he served as associate editor of IEEE Transactions on Reliability, area coordinator of International Journal of Performability Engineering. Now he serves as editor of Reliability Engineering & System Safety and member of editorial boards of Journal of Risk and Reliability and Reliability and Quality Performance.
 
Keynote Speakers 4

W. Eric Wong

Professor

the University of Texas at Dallas

 Texas, USA

Title: Scientific Publication and Researcher Productivity

Abstract: In this talk, I will share information collected from the IEEE Panels of Editors. I will also discuss how the productivity of a researcher may be measured using different publication metrics.

Bio: Prof. Wong received his M.S. and Ph.D. in Computer Science from Purdue. He is a Full Professor, the Director of International Outreach, and the Founding Director of Advanced Research Center on Software Testing and Quality Assurance in Computer Science at the University of Texas at Dallas (UTD). He also has an appointment as a guest researcher at NIST (National Institute of Standards and Technology), an agency of the U.S. Department of Commerce. Prior to joining UTD, he was with Telcordia Technologies (formerly Bellcore) as a senior research scientist and the project manager in charge of Dependable Telecom Software Development.

Dr. Wong is the IEEE Reliability Society Engineer of the Year for 2014. His research focuses on helping practitioners improve software quality while reducing production cost. In particular, he is working on software testing, debugging, risk analysis/metrics, safety, and reliability. He has extensive experience developing real-life industry applications from his research results. He has received research funding from multiple organizations, such as NSF, NASA, NIST, Avaya, IBM, Texas Instruments, Lockheed Martin, Raytheon, HP, NEC (Japan), and Hyundai Motor Company. He has published more than 170 papers and co-edited two books.

Dr. Wong is currently serving as the Vice President for Publications of the IEEE Reliability Society and is the Founding Steering Committee Chair of the IEEE International Conference on Software Security and Reliability (SERE).In 2015, the SERE conference and the QSIC conference (International Conference on Quality Software) merged into one large conference, QRS, with Q representingQuality, R forReliability, and S forSecurity.He has served as special issue guest editor for IEEE TR, JSS, SPE, IST, SQJ, IJSEKE, etc. He is on the editorial board of both IEEE Transactions on Reliability and the Journal of Systems and Software.

 
Keynote Speakers 5

Carlos Guedes Soares

Professor

Universidade de Lisboa

Portugal

Title: Fatigue Reliability Assessment of Structural and Mechanical Components

Abstract: Fatigue crack growth can be expected in metal components of structures and mechanical equipment, in particular from stress concentrations and fabrication defects, leading to degraded performance or even to failure. The presentation deals with the most common methods to predict crack initiation and crack propagation and their specific requirements and limitations. As fatigue depends on many factors, it is necessary to identify the ones influencing most the fatigue life and to assess their influence and uncertainty. Probabilistic models are used to characterize the dependency of fatigue life in various uncertain parameters. A brief introduction is presented of approaches adopted to determine structural reliability and then how they are applied to the specific problem of fatigue failure. Different methods of reliability assessment are applied to the different methods to asses fatigue life, leading to a diversity of approaches.

BioProf. Carlos Guedes Soares is a Distinguished Professor of the Engineering Faculty (Instituto Superior Tecnico) of the University of Lisbon and the Head of the Centre for Marine Technology and Ocean Engineering (CENTEC), which is a research center of the University of Lisbon that is recognized and funded by the Portuguese Foundation for Science and Technology.

He received the Master and Ocean Engineer degrees from the Massachusetts Institute of Technology, USA in 1976, the Ph.D. degree from the Norwegian Institute of Technology, of the University of Trondheim, in 1984, and the Doctor of Science degree from the Technical University of Lisbon, Portugal, in 1991.

He has supervised more than 45 PhD students and has co-authored more than 600 journal papers and several more in Conferences. He has a Web of Science h index of 47 and more than 10,000 citations.

He is a Founding Member and has been General Secretary and Chairman of the European Safety and Reliability Association (ESRA). He has been coordinating the Symposium on Structures, Safety and Reliability of the Ocean, Offshore and Arctic Engineering (OMAE) Conference since 1989 and has been Editor (now Editor-in-Chief) of the Reliability Engineering and System Safety Journal since 1992.

 
Keynote Speakers 6

Won Young Yun

Professor

Pusan National University

Busan, Korea

Title: Redundancy and Maintenance Optimization Problems in Modularized Systems

Abstract: This talk considers modularized systems with tree structures and introduce two optimization problems related to system reliability and maintenance. The modularized system has a hierarchical structure in design phase and has several modules. Each module also consists of some components and lower-level modules.

As the first optimization problem, it is assumed that the basic modular structure (tree structure) is given and we would like to improve the system reliability by adding redundant units of modules and components. Existing papers in redundancy optimization problems of modularized systems which propose various optimization models and use different algorithms are summarized. Three different mathematical models are studied: Multi-level redundancy allocation (MRAP), multiple multi-level redundancy allocation, and availability-based MRAP models. Many meta-heuristics have been applied to find optimal solutions in the several optimization problems. We summarized key idea of meta-heuristics applied to the existing MARP problems. An integrated optimization problem of MRAP and preventive maintenance are studied.

As the second optimization problem, an optimization problem is studied after the redundancy optimization phase, in which maintenance units (line replaceable units:LRU) in modularized systems are determined. When some components fail, then the system fails and we should maintain correctively the system. We can replace the failed components or the module with the failed components. We want to determine the maintenance units(LRU) in the modularized system with hierarchical structure. The system availability and total maintenance cost are used as optimization criteria. A genetic algorithm is proposed to find the optimal solutions. Numerical examples are also studied.

Finally, we propose an integrated optimization problem in modularized systems for further study.

BioProf. Won Young Yun is a Professor in Department of Industrial Engineering, Pusan National University,  Korea. He received his B.S. degree in Industrial Engineering from Seoul National University, Korea, in 1982 and his M.S. and Ph. D. degrees in Industrial Engineering from KAIST, Korea, in 1984 and 1988, respectively. His research interest includes maintenance optimization of complex systems, spare-parts problems and simulation applications in reliability and maintenance. He has published his papers in international journals of reliability and operations research, for example, IEEE Transactions on Reliability, Reliability and System Safety, IIE Transactions, International Journal of Production Economics, etc.
 
Keynote Speakers 7

Kaigui Xie

Professor

Chongqing University

Chongqing, China

Title: Tracing the Unreliability Contributions and Recognizing Weak Parts of Complex Systems

Abstract: In many situations, a utility would like to know how much each component in a system contributes to the unreliability consequences. Weak parts analysis of a system is a key part of the system reliability quantification process. It enables the weakest areas of a system to be recognized and proposes the remedial measures for improving the system reliability. This presentation presents a novel idea for recognizing weak parts using the unreliability-tracing technique. It proposes the unreliability-tracing principles, the model for tracing the reliability of complex systems. In addition, unreliability- tracing- sharing- factor (UTSF) for system unreliability is derived to easily recognize the major- unreliability- contributions (MUCs) of a system. The proposed method was tested by using general complex systems and electric power systems. The results show that the developed technique can be extensively applied to complex systems for unreliability-tracing and recognizing the MUCs.

BioProf. Kaigui Xie was born in 1972 in Sichuan, P.R. China. He received the Ph.D. degree in Power System and Its Automation at Chongqing University, Chongqing, China, in 2001. Currently, he is a full professor in the School of Electrical Engineering, Chongqing University, China. His main research interests focus on the areas of power system reliability, planning and analysis. He is the team leader of more than 80 academic projects, including six projects under the National Natural Science Foundation of China, and three projects under the National key Research and Development Program of China. He is awarded the title of National Science Fund for Outstanding Young Scholar, an IET fellow and an IEEE senior member; the chair of International Technical Advisory Committee of the 13th IEEE-PMAPS 2016; editor of the IEEE Transactions on Power Systems, associate editor of IET Proceedings-Generation, Transmission and Distribution, and a member of editorial boards of EPCS (Electric Power Components and Systems) and MPCE (Modern Power System and Clean Energy) journals. He is the author and coauthor of over 200 academic papers and six books.
 
 
Keynote Speakers 8

Loon Ching TANG

Professor

National University of Singapore

Singapore

Title: Some personal perspectives on publishing quality papers

Abstract: In this talk, besides providing an outline of what constitutes a good research paper, we shall share some personal perspectives related to “applied” vs “theoretical”; “paper-to-paper” vs “project-to-paper”; and “application” vs “methodological”.

BioProf. Loon Ching TANG is currently the Director of Temasek Defence Systems Institute and a full professor of Department of Industrial Systems Engineering & Management at the National University of Singapore. He obtained his Ph.D degree from Cornell University in the field of Operations Research in 1992 and has published extensively in areas related to quality, reliability and operations research. He has been presented with a number of best paper awards including the IIE Transactions 2010 Best Application Paper Award and 2012 R.A. Evans/P. K. McElroy Award for the best paper at Annual RAMS. ProfTang is the main author of the award-winning book: Six Sigma: Advanced Tools for Black Belts and Master Black Belts. Besides being active in the forefront of academic research, in the last 25 years, Prof Tang has served as consultant for many organizations, such as the Ministry of Home Affair, Singapore Power, Republic of Singapore Air Force, Seagate, HP, Phillips, etc, on a wide range of projects aiming at improving organizational and operations efficiency; especially through better management of engineering assets. He is currently a fellow of ISEAM, the Editor of Quality & Reliability Engineering International and an editorial review board member of the flagship journal of ASQ, Journal of Quality Technology (since 2006).  He has served as the Region VP (Asia) of IIE (2013-16) and a member of the advisory board of the Singapore Innovation and Productivity Institute.