Maintenance Management presents the main concepts, the state of the art, advances and case studies in this topic. Maintenance is a critical variable in the industry in order to reach competitiveness. Therefore, the correct management of the corrective, predictive and preventive politics in any industry is required. This book shows a content complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, engineering etc.
The bookspresents real case studies in multiple disciplines. It considers the main topics as failure detection and diagnosis, fault trees and subdisciplines (e.g. FMECA, FMEA, etc.). It is essential to link these topics with financial, schedule, resources, downtimes, etc. in order to increase productivity, profitability, maintainability, reliability, safety, availability, and reduce costs, downtimes.
Advances in mathematics, models, computational techniques, dynamic analysis, etc. are employed in maintenance management. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements.
The book is intended for graduate students and professionals in industrial engineering, business administration, industrial organization, operations management, applied microeconomics, and the decisions sciences, either studying maintenance, or who are required to solve large, specific and complex maintenance management problems as part of their jobs. The work will also be of interest to researches from the academia.