"Maintenance Management: Current Challenges, New Developments, and Future Directions" ed. by Germano Lambert-Torres, et al.

This book presents aspects of predictive maintenance in industries and shows the possibility of reaching the creation of prognostic maintenance. It offers techniques for managing maintenance processes theoretically and practically as examples of possible industrial implementations.

The management of maintenance processes and their integration with production processes is one of the significant challenges faced by industries today. It is known that maintenance must be carried out to guarantee the quality and continuity of production processes. Thus, manufacturing routines, production bottlenecks, and the criticality of each component or subsystem in the overall process should be considered not only by production management but also (and increasingly) by maintenance management. The latter should consider repair (or replacement) costs and miscellaneous expenses, plan to work on maintenance effectively, reduce repair times, and establish clear repair procedures and instructions. Maintenance process management can be deployed in several ways and following several strategies depending on the type of industry, its size, and the criticality of its processes. However, even being a unique company, it is always possible to take advantage of the experiences of other industries and their implementations. The advent of new technologies (such as automation, the Internet of Things, and cloud computing), along with new statistical and artificial intelligence techniques, has created an environment referred to as Industry 4.0, of which maintenance management systems are a part.

Contents
1. The Maintenance Management
2. Definition of Maintenance and Maintenance Types with Due Care on Preventive Maintenance
3. Maintenance and Renewal Cost Evaluation for Managing Assets of Electric Power Equipment and Operational Data Analysis for Failure Rate Estimation
4. A Study of Proportional Hazards Models: Its Applications in Prognostics
5. Pull-Type Security Patch Management in Intrusion Tolerant Systems: Modeling and Analysis
6. Automated Condition Monitoring of a Cycloid Gearbox
7. Probabilistic Risk Assessments for Static Equipment Integrity


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