Advanced Maintenance Modelling For Asset Management
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Advanced Maintenance Modelling for Asset Management by Adolfo Crespo Márquez,Vicente González-Prida Díaz,Juan Francisco Gómez Fernández Pdf
This book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset management while laying the groundwork for further research breakthroughs in this field. The text provides the resources necessary for managers, technology developers, scientists and engineers to adopt and implement better decision making based on models and techniques that contribute to recognizing risks and uncertainties and, in general terms, to the important role of asset management to increase competitiveness in organizations.
Cases on Optimizing the Asset Management Process by González-Prida, Vicente,Márquez, Carlos Alberto Parra,Márquez, Adolfo Crespo Pdf
It is critical to improve the asset management system implementation as well as economics and industrial decision making to ensure that a business may move smoothly internally. Maintenance management should be aligned to the activities of maintenance in accordance with key business strategies, which must be designed under the comprehensive approach of an asset management process. After transforming the priorities of the business into priorities of maintenance, maintenance managers will use their medium-team strategies to tackle potential weaknesses in the maintenance of the equipment in accordance with these objectives. Cases on Optimizing the Asset Management Process explains and summarizes the processes and the reference frame necessary for the implementation of the Maintenance Management Model (MMM). This book acts as an overview of the current state of the art in asset management, providing innovative tools and practices from the fourth industrial revolution. Presenting topics like criticality analysis, physical asset maintenance, and unified modelling language, this text is essential for industrial and manufacturing engineers, plant supervisors, academicians, researchers, advanced-level students, technology developers, and managers who make decisions in this field.
Asset Management Excellence by John D. Campbell,Andrew K.S. Jardine,Joel McGlynn Pdf
During the eight years since the publication of Maintenance Excellence: Optimizing Equipment Life-Cycle Decisions the business environment has changed drastically. Globalization, consolidation, and changes in technology challenge asset management and maintenance professionals to be more efficient. Globalization and consolidation have been particularly instrumental in the changes in maintenance standards, approaches, and the use of technology to become more efficient and cost effective. Reflecting all this and more, the second edition has been renamed: Asset Management Excellence: Optimizing Equipment Life-Cycle Decisions. New in the Second Edition: Two new chapters on Maintenance Management Fundamentals Coverage of leadership issues, the implementation of new processes, and change management Discussion of the design stage and key factors for successful implementation Understanding the dynamic influences and optimization of spares management Updated case studies Introduction to new software packages that optimize a variety of maintenance and replacement decisions Although there have been patterns and trends that have emerged around the world in asset management, the root principles are the same—personnel with tools go out to address the needs of maintaining assets. However, many of the tools, technologies, and thought processes have evolved and matured to allow a rethinking of the deeper maintenance processes. For this edition, a new set of authors and contributors have revisited the content, updated information, and added new content based on the passage of time, changes in thinking, and the introduction and improvement in technologies.
Advances in Asset Management and Condition Monitoring by Andrew Ball,Len Gelman,B. K. N. Rao Pdf
This book gathers select contributions from the 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2019), held at the University of Huddersfield, UK in September 2019, and jointly organized by the University of Huddersfield and COMADEM International. The aim of the Congress was to promote awareness of the rapidly emerging interdisciplinary areas of condition monitoring and diagnostic engineering management. The contents discuss the latest tools and techniques in the multidisciplinary field of performance monitoring, root cause failure modes analysis, failure diagnosis, prognosis, and proactive management of industrial systems. There is a special focus on digitally enabled asset management and covers several topics such as condition monitoring, maintenance, structural health monitoring, non-destructive testing and other allied areas. Bringing together expert contributions from academia and industry, this book will be a valuable resource for those interested in latest condition monitoring and asset management techniques.
The Maintenance Management Framework by Adolfo Crespo Márquez Pdf
“The Maintenance Management Framework” describes and reviews the concept, process and framework of modern maintenance management of complex systems; concentrating specifically on modern modelling tools (deterministic and empirical) for maintenance planning and scheduling. It will be bought by engineers and professionals involved in maintenance management, maintenance engineering, operations management, quality, etc. as well as graduate students and researchers in this field.
Optimum Decision Making in Asset Management by Carnero, María Carmen,González-Prida, Vicente Pdf
Asset management is becoming increasingly important to an organization’s strategy, given its effects on cost, production, and quality. No matter the sector, important decisions are made based on techniques and theories that are thought to optimize results; asset management models and techniques could help maximize effectiveness while reducing risk. Optimum Decision Making in Asset Management posits that effective decision making can be augmented by asset management based on mathematical techniques and models. Resolving the problems associated with minimizing uncertainty, this publication outlines a myriad of methodologies, procedures, case studies, and management tools that can help any organization achieve world-class maintenance. This book is ideal for managers, manufacturing engineers, programmers, academics, and advanced management students.
IoT and Cloud Computing for Societal Good by Jitendra Kumar Verma,Deepak Saxena,Vicente González-Prida Pdf
This book gathers the state-of-the-art for industrial application of scientific and practical research in the Cloud and IoT paradigms to benefit society. The book first aims to discuss and outline various aspects of tackling climate change. The authors then discuss how Cloud and IoT can help for digital health and learning from industrial aspects. The next part of book discusses technical improvements in the fields of security and privacy. The book also covers Smart Homes and IoT in agriculture. The book is targeted towards advancing undergraduate, graduate, and post graduate students, researchers, academicians, policymakers, various government officials, NGOs, and industry research professionals who are currently working in the field of science and technology either directly or indirectly to benefit common masses.
Maintenance, Replacement, and Reliability by Andrew K.S. Jardine,Albert H.C. Tsang Pdf
A completely revised and updated edition of a bestseller, Maintenance, Replacement, and Reliability: Theory and Applications, Second Edition supplies the tools needed for making data-driven physical asset management decisions. The well-received first edition quickly became a mainstay for professors, students, and professionals, with its clear presentation of concepts immediately applicable to real-life situations. However, research is ongoing and relentless—in only a few short years, much has changed. See What’s New in the Second Edition: New Topics The role of maintenance in sustainability issues PAS 55, a framework for optimizing management assets Data management issues, including cases where data are unavailable or sparse How candidates for component replacement can be prioritized using the Jack-knife diagram New Appendices Maximum Likelihood Estimated (MLE) Markov chains and knowledge elicitation procedures based on a Bayesian approach to parameter estimation E-learning materials now supplement two previous appendices (Statistics Primer and Weibull Analysis) Updated the appendix List of Applications of Maintenance Decision Optimization Models Firmly based on the results of real-world research in physical asset management, the book focuses on data-driven tools for asset management decisions. It provides a solid theoretical foundation for various tools (mathematical models) that, in turn, can be used to optimize a variety of key maintenance/replacement/reliability decisions. It presents cases that illustrate the application of these tools in a variety of settings, such as food processing, petrochemical, steel and pharmaceutical industries, as well as the military, mining, and transportation (land and air) sectors. Based on the authors’ experience, the second edition maintains the format that made the previous edition so popular. It covers theories and methodologies grounded in the real world. Simply stated, no other book available addresses the range of methodologies associated with, or focusing on, tools to ensure that asset management decisions are optimized over the product’s life cycle. And then presents them in an easily digestable and immediately applicable way.
Cloud IoT by Jitendra Kumar Verma,Deepak Kumar Saxena,Vicente González-Prida Díaz,Vira Shendryk Pdf
The Internet of Things (IoT) is one of the most disruptive technologies, enabling ubiquitous and pervasive computing scenarios. IoT is based on intelligent self-configuring nodes (also known as things) interconnected in a dynamic and global collaborative network infrastructure. In contrast, Cloud computing has virtually unlimited capabilities in terms of storage and processing power, speed, and is a more mature technology. Due to intrinsic nature of Cloud computing and IoT, they both complement each other. Recently, we are witnessing an increasing trend in exploiting use of both Cloud and IoT together. Salient Features: • Presents latest developments in Cloud computing • Presents latest developments in Internet of Things • Establishes links between interdisciplinary areas where IoT and Cloud both can play a role for improvement of process • Intends to provide an insight into non-IT related models for improvement of lives • Bridges the gap between obsolete literature and current literature This book is aimed primarily at advanced undergraduates and graduates working with IoT and cloud computing. Researchers, academicians, policy makers, government officials, NGOs, and industry research professionals would also find the book useful.
15th WCEAM Proceedings by João Onofre Pereira Pinto,Marcio Luiz Magri Kimpara,Renata Rezende Reis,Turuna Seecharan,Belle R. Upadhyaya,Joe Amadi-Echendu Pdf
This book gathers selected peer-reviewed papers from the 15th World Congress on Engineering Asset Management (WCEAM), which was hosted by The Federal University of Mato Grosso do Sul Campo Grande, Brazil, from 15–-18 August 2021 This book covers a wide range of topics in engineering asset management, including: strategy and standards; sustainability and resiliency; servitisation and Industry 4.0 business models; asset information systems; and asset management decision-making. The breadth and depth of these state-of-the-art, comprehensive proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students.
Asset Maintenance Management in Industry by Rama Srinivasan Velmurugan,Tarun Dhingra Pdf
This book introduces readers to essential strategies, practices, and benchmarking for asset maintenance in operations intensive industries. Drawing on a case study from the oil and gas sector, it offers a methodology and practical solutions to help maintenance practitioners select and formulate an asset maintenance strategy, and to establish best maintenance practices at an organizational level using the frameworks developed here. It is intended for industry practitioners, young maintenance professionals, and students of engineering management who aspire to a career in operations intensive industries.
Applications of Machine Learning by Prashant Johri,Jitendra Kumar Verma,Sudip Paul Pdf
This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.
Proceedings of the 2nd International Conference on Experimental and Computational Mechanics in Engineering by Akhyar Pdf
This book gathers a selection of peer-reviewed papers presented at the 2nd International Conference on Experimental and Computational Mechanics in Engineering (ICECME 2020), held as a virtual conference and organized by Universitas Syiah Kuala, Banda Aceh, Indonesia, on 13–14 October 2020. The contributions, prepared by international scientists and engineers, cover the latest advances in computational mechanics, metallurgy and material science, energy systems, manufacturing processing systems, industrial and system engineering, biomechanics, artificial intelligence, micro/nano-engineering, micro-electro-mechanical system, machine learning, mechatronics, and engineering design. The book is intended for academics, including graduate students and researchers, as well as industrial practitioners working in the areas of experimental and computational mechanics.
Financial Evaluation and Risk Management of Infrastructure Projects by Petroutsatou, Kleopatra,Zopounidis, Constantin Pdf
In light of the recent financial crisis in Europe and the increasing importance of sustainability in construction, insights and practical guidance for financial evaluation and risk management of infrastructure projects are extremely valuable for a well-planned future. It can make a massive difference in the outcomes of construction projects that have access to the "future economic benefits" approach to asset valuation as a correct asset management accounting to prevent over and underestimation of investments and repair debt. The Financial Evaluation and Risk Management of Infrastructure Projects is a comprehensive guide for professionals and students in the fields of construction and investment, as well as financial and investment institutions. It emphasizes the importance the life cycle cost of infrastructure projects and cost-benefit analysis in optimizing investments, as well as highlighting the need for cost-effective and sustainable infrastructure projects that incorporate "value for money" construction solutions while considering all risks involved. This book is ideal for professionals in construction, investment institutions, and financial and investment institutions, as well as for students in construction and investments. With the recent financial crisis in Europe and the growing focus on sustainability in construction, this guide offers practical insights and guidance for financial evaluation and risk management of infrastructure projects.
Engineering Asset Management by Dimitris Kiritsis,Christos Emmanouilidis,Andy Koronios,Joseph Mathew Pdf
Engineering Asset Management discusses state-of-the-art trends and developments in the emerging field of engineering asset management as presented at the Fourth World Congress on Engineering Asset Management (WCEAM). It is an excellent reference for practitioners, researchers and students in the multidisciplinary field of asset management, covering such topics as asset condition monitoring and intelligent maintenance; asset data warehousing, data mining and fusion; asset performance and level-of-service models; design and life-cycle integrity of physical assets; deterioration and preservation models for assets; education and training in asset management; engineering standards in asset management; fault diagnosis and prognostics; financial analysis methods for physical assets; human dimensions in integrated asset management; information quality management; information systems and knowledge management; intelligent sensors and devices; maintenance strategies in asset management; optimisation decisions in asset management; risk management in asset management; strategic asset management; and sustainability in asset management.