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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. 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.

Reliability (Engineering)

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This book illustrates simply, but with many details, the state of the art of reliability science, exploring clear reliability disciplines and applications through concrete examples from their industries and from real life, based on industrial experiences. Many experts believe that reliability is not only a matter of statistics but is a multidisciplinary scientific topic, involving materials, tests, simulations, quality tools, manufacturing, electronics, mechatronics, environmental engineering and Big Data, among others. For a complex mechatronic system, failure risks have to be identified at an early stage of the design. In the automotive and aeronautic industries, fatigue simulation is used both widely and efficiently. Problems arise from the variability of inputs such as fatigue parameters and life curves. This book aims to discuss probabilistic fatigue and reliability simulation. To do this, Reliability and Physics-of-Healthy in Mechatronics provides a study on some concepts of a predictive reliability model of microelectronics, with examples from the automotive, aeronautic and space industries, based on entropy and Physics-of-Healthy.

Reliability (Engineering)

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Reliability (Engineering)

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Integrated circuits --- Reliability.

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Telecommunication systems --- Reliability