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Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis pp 89–160Cite as

Basic Concepts on Risk Analysis, Reliability and Maintenance

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Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 231))

Abstract:

Man’s level of dependence on equipment is increasing. This degree of dependence requires high levels of availability, which has been changing the impact that disruption of these systems causes. For many systems, an interruption has consequences that go beyond the dimension of financial loss, thus justifying a multidimensional consequence approach by using multicriteria (MCDM/A) models. Thus, understanding the relationships between and among risk, reliability and maintenance (RRM) is essential in order to offer more comprehensive solutions to the various problems often treated in isolation from each other, and which are the most important problems of the competitive market. This chapter discusses fundamental topics about RRM, including tools for risk analysis and hazard identification, concepts of reliability, maintenance techniques such as RCM and TPM and eliciting expert’s knowledge. These topics are presented in order to provide a basis for structuring different MCDM/A problems that are addressed in several chapters. Some fundamental aspects could be used as input to decision models in different forms such as attributes, objectives, criteria, and problem context.

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  1. Universidade Federal de Pernambuco, Recife, PE, Brazil

    Adiel Teixeira de Almeida, Cristiano Alexandre Virgínio Cavalcante, Marcelo Hazin Alencar, Rodrigo José Pires Ferreira, Adiel Teixeira de Almeida-Filho & Thalles Vitelli Garcez

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de Almeida, A.T., Cavalcante, C.A.V., Alencar, M.H., Ferreira, R.J.P., de Almeida-Filho, A.T., Garcez, T.V. (2015). Basic Concepts on Risk Analysis, Reliability and Maintenance. In: Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis. International Series in Operations Research & Management Science, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-319-17969-8_3

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