Maintenance, replacement, and reliability : theory and applications
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
Abstract: “Completely revised and updated, this second edition of a bestseller provides the tools needed for making data-driven physical asset management decisions. The book is solidly based on the results of real-world research in physical asset management, including applications of the models presented in the text. Software that implements many of the procedures and models featured in this textbook has been developed and can be downloaded, along with Power Point Slides and a test bank with over 100 examination questions, from the CRC website”
You can also Read Pipeline Operation and Maintenance: A Practical Approach, Second Edition
Maintenance, replacement, and reliability : theory and applications new Topics
- The role of maintenance in sustainability issues
![Maintenance, Replacement, and Reliability: Theory and Applications, Second Edition]()
- 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 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.
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