Sustainable Management of Engineered Assets in a Post-Covid 19 World: Industry 4.0, Digital Transformation, Society 5.0 and Beyond Redaktion: Abdul-Nour, Georges; Mathew, Joseph; Amadi-Echendu, Joe; Komljenovic, Dragan; Crespo Márquez, Adolfo; Seecharan, Turuna; Ngoc Dinh, Minh
Sustainable Management of Engineered Assets in a Post-Covid 19 World: Industry 4.0, Digital Transformation, Society 5.0 and Beyond Redaktion: Abdul-Nour, Georges; Mathew, Joseph; Amadi-Echendu, Joe; Komljenovic, Dragan; Crespo Márquez, Adolfo; Seecharan, Turuna; Ngoc Dinh, Minh
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17th WCEAM Proceedings provides a record of some of the intellectual discussions (including keynote addresses, research paper presentations, panel debates and practical workshops) that took place among the attendees and participants of the 17th World Congress on Engineering Asset Management (WCEAM), held from 18 - 20 October 2024 at the Sheraton Saigon Hotel and Towers, Ho Chi Minh City, Vietnam. The events were organized by the International Society for Engineering Asset Management (ISEAM) and hosted by RMIT University Vietnam LLC (RMIT VN), Ho Chi Ming City. The content of the book includes…mehr
17th WCEAM Proceedings provides a record of some of the intellectual discussions (including keynote addresses, research paper presentations, panel debates and practical workshops) that took place among the attendees and participants of the 17th World Congress on Engineering Asset Management (WCEAM), held from 18 - 20 October 2024 at the Sheraton Saigon Hotel and Towers, Ho Chi Minh City, Vietnam. The events were organized by the International Society for Engineering Asset Management (ISEAM) and hosted by RMIT University Vietnam LLC (RMIT VN), Ho Chi Ming City. The content of the book includes topics listed below under a general theme of Sustainable Management of Engineered Assets in a Post-Covid World: Industry 4.0, Digital Transformation, Society 5.0 and beyond
Sustainable asset investment, acquisition, operations, maintenance, and retirement strategies
Production-service transformation and product-service systems
Sustainable asset acquisition, operations, maintenance, and retirement processes
Modeling and simulation of acquisition, operations, maintenance, and retirement processes
Reliability and resilience engineering
Applications of the Fourth Industrial Revolution (4IR) technologies in EAM, e.g., Digital Twins
Cybersecurity issues in asset management
Asset condition, risk, resilience, and vulnerability assessments
Asset management and decision support systems
Applications of international and logical guidelines and standards in EAM
Human dimensions and asset management performance
Case studies of asset management in various industries and sectors
This proceedings is an excellent resource for asset management practitioners, researchers and academics, as well as undergraduate and postgraduate students.
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Dr. Georges Abdul-Nour is an Emeritus Professor at the Department of Industrial engineering, Université du Québec à Trois-Rivières, Canada. He received his Bachelors and Master Degrees in IE from the Université de Moncton, N.B.' Canada. He completed his PhD at Texas Tech University; Lubbock Texas, U.S.A. Dr. Abdul-Nour authored and co-authored 25 books and books chapters, and more than 450-refereed papers in international journals and conferences proceeding, and technical reports. His research interest is in fields such as Intelligent Asset Management, Complexes Systems Resilience, Reliability and Maintenance, Intelligent Manufacturing, I4.0, I5.0, and IX.0. Lean-Six Sigma, and JIT (TPS). He is a member of the Editorial Board of the International Journal of Production Research (IJPR), and on the Board of the International Society of Engineering Asset Management (ISEAM). Professor Abdul-Nour is a registered member of the Order of Engineers of Quebec (OIQ). He served as Chair of Engineering School and of Research Institute on Small and Medium Enterprises (SME), (INRPME) at UQTR. He is an Elected Member of the Academy of Industrial Engineering of Texas Tech. Dr. Abdul-Nour hold the HQ/NSERG Research Chair in Asset-Management and He is a Fellow of ISEAM Minh Ngoc Dinh is an Associate Professor in Computer Science and currently serving as the Deputy Dean for Research & Innovation at the School of Science, Engineering & Technology, RMIT University, Vietnam. Dr. Minh Ngoc Dinh received a Ph.D. in Computer Science from Monash University, Australia. His research interest is in Computational Science, High-Performance Computing (HPC), and Artificial Intelligence (AI). Dr Dinh's expertise is developed through his previous positions at Monash University, The University of Queensland, and the Queensland Cyber Infrastructure Foundation. He has a strong track record in research & development (R&D), with excellent communication and project management skills. Dr. Dinh recently founded a tech startup, aims to empower Vietnamese businesses with AI. Turuna Seecharan obtained her Ph.D. degree in Systems Design Engineering from the University of Waterloo, Canada, specializing in "Robust Design Optimization using Metamodels". She is a licensed Professional Engineer with the Professional Engineers of Ontario and a board member of the International Society of Engineering Asset Management. Presently, she is an Assistant Professor in the Department of Mechanical and Industrial Engineering at the University of Minnesota Duluth. Her current research interests are Gamification and the role of Human Factors in Asset Management. Adolfo Crespo Márquez is currently Full Professor at the School of Engineering of the University of Seville, and recently Head of the Department of Industrial Management. He holds a Ph.D. with Honors in Industrial Engineering from this same University. He is included in the Stanford University's list of world top-scientists in 2023 and he received the Spanish Maintenance Award from the Spanish Maintenance Association (AEM) in 2020. His research works have been published in journals such as Reliability Engineering and System Safety, International Journal of Production Research, International Journal of Production Economics, European Journal of Operations Research, Omega, Decision Support Systems and Computers in Industry, among others. Prof. Crespo is the author of 9 books and Editor of 8 books with Springer, Aenor, IGI Global and INGEMAN, about maintenance, warranty, supply chain and assets management. Professor Crespo is Fellow and Director of ISEAM (International Society of Engineering Assets Management), Editor-in-Chief of the Springer Book Series Engineering and Asset Management Review, and leads the Spanish Research Network on Assets Management and the Spanish Committee for Maintenance Standardization (1995-2003). He also leads the SIM (Sistemas Inteligentes de Mantenimiento) research group related to maintenance and dependability management and has extensively participated in many engineering and consulting projects for different companies, for the Spanish Departments of Defense, Science and Education as well as for the European Commission (IPTS). He is the President of INGEMAN (a National Association for the Development of Maintenance Engineering in Spain) since 2002. Dragan Komljenovic received a BSc from the University of Tuzla, an MSc from the University of Belgrade, a first PhD from Université Laval in 2002 and a second PhD from Université du Québec à Trois-Rivières in 2018. He works as a Senior Research Scientist at Hydro-Québec's research institute (IREQ) in the field of reliability, resilience, asset management and risk analysis. He has also worked as a reliability and nuclear safety engineer at Gentilly-2 nuclear power plant, Hydro-Québec. Dragan collaborates with several universities and has published more than 120 refereed journal and conference papers. He is a Fellow of the International Society of Engineering Asset Management (ISEAM) and Vice President of the Montreal Chapter of Society of Reliability Engineers (SRE). Dragan has the status of professional engineer in the province of Quebec, Canada. Joe Amadi-Echendu (BSc MSc DPhil CEng PrEng FISEAM) is a Professor of Engineering and Technology Management at the Graduate School of Technology Management, University of Pretoria, South Africa. Joe is a registered professional engineer in both UK and South Africa and has more than 38 years of work experience in industry and academia. Joe is a founding Fellow of the International Society of Engineering Asset Management (ISEAM), the current chair of the board of directors of ISEAM; as well as a current board member and treasurer of International Association for the Management of Technology (IAMOT). Professor Amadi-Echendu is the founding Editor-in-Chief of Engineering Asset Management Review series publication by Springer. Joseph Mathew is the CEO of the Asset Institute and an Adjunct Professor at Queensland University of Technology in Brisbane. He was previously Queensland University of Technology's Head of School in the School of Mechanical, Manufacturing and Medical Engineering. Prior to arriving in Brisbane in 2000, Joe was Monash University's Professor of Manufacturing and Industrial Engineering and was Deputy Head of the Department of Mechanical Engineering. He was also the Executive Director of Monash's Centre for Machine Condition Monitoring from 1993-1999, a research centre that he co-founded. Joe is a Mechanical Engineer with extensive experience in academia, academic administration, research and research management, and consulting. Joe specialises in asset management, integrated frameworks and systems for asset management, as well as condition monitoring, diagnostics and prognostics of machine.
Inhaltsangabe
Digital Twin Models in CBM Apps. A Framework for their Functionality Description & Requirements Analysis.- Understanding Opinions and Emotions of Generative Artificial Intelligence Assets using the Gartner Hype Cycle and Kübler-Ross Change Curve.- Optimising Solar and Battery Energy Storage System Using Yearly Inteval.- Intelligent fault diagnosis method of robot joint-harmonic reducer based on EMD and SVM.- Modelling Traffic Conditions in Developing Urban Areas: A Combined Approach of Explainable Artificial Intelligence and Mobile Crowd-Sourcing.- : Application of Unmanned Aerial Vehicle and YOLOv5 Model to Identify Water for Risk Assessment of Dengue Fever.- Development Perspective of Electrostatic Machine.- A novel method for gearbox fault diagnosis basaed on shift-invariant and shared dictionary learning.- Integrating Predictive Analytics with RAMS Analysisto Quantify Performance Improvement.- Incorporating Environmental Impacts and Endof-Life Potentials for Sustainable Asset Management Decision Making.- Increasing Asset Management Capabilities of Local Authorities in Sri Lanka;.- Assessment design before and after the emergence of generative AI.- Issues and Challenges in fault detection for commercial solar panels with Smart AI image processing techniques - A case study in an Australian utility company.
Digital Twin Models in CBM Apps. A Framework for their Functionality Description & Requirements Analysis.- Understanding Opinions and Emotions of Generative Artificial Intelligence Assets using the Gartner Hype Cycle and Kübler-Ross Change Curve.- Optimising Solar and Battery Energy Storage System Using Yearly Inteval.- Intelligent fault diagnosis method of robot joint-harmonic reducer based on EMD and SVM.- Modelling Traffic Conditions in Developing Urban Areas: A Combined Approach of Explainable Artificial Intelligence and Mobile Crowd-Sourcing.- : Application of Unmanned Aerial Vehicle and YOLOv5 Model to Identify Water for Risk Assessment of Dengue Fever.- Development Perspective of Electrostatic Machine.- A novel method for gearbox fault diagnosis basaed on shift-invariant and shared dictionary learning.- Integrating Predictive Analytics with RAMS Analysisto Quantify Performance Improvement.- Incorporating Environmental Impacts and Endof-Life Potentials for Sustainable Asset Management Decision Making.- Increasing Asset Management Capabilities of Local Authorities in Sri Lanka;.- Assessment design before and after the emergence of generative AI.- Issues and Challenges in fault detection for commercial solar panels with Smart AI image processing techniques - A case study in an Australian utility company.
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