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A Framework for Building Multicriteria Decision Models with Regard to Reliability, Risk, and Maintenance

In: Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis

Author

Listed:
  • Adiel Teixeira de Almeida

    (Universidade Federal de Pernambuco)

  • Lucia Reis Peixoto Roselli

    (Universidade Federal de Pernambuco)

Abstract

Reliability, risk, and maintenance (RRM) activities can affect the strategic success of any organization. Therefore, their influence on decision-making processes is important and mostly includes multiple objectives for the decision maker (DM). In order to deal with such a multicriteria decision process, a framework for building decision models in the RRM context is presented in this chapter. This framework is based on previous studies. It adds new features for an in-depth examination of a major factor in RRM problems, which is related to the probabilistic characteristic of such decision problems. Furthermore, this framework provides some aspects within the model, such as: preference modeling with regard to a DM’s preferences and probabilistic modeling related to two kinds of information, namely that from data and that from experts’ prior knowledge. When the process of preference modeling is adequate, it supports how best to choose an appropriate MCDM/A (multicriteria decision-making/aiding) method. There are different ways of classifying these methods and the one that this framework considers is how best to evaluate the DM’s compensatory and non-compensatory rationality.

Suggested Citation

  • Adiel Teixeira de Almeida & Lucia Reis Peixoto Roselli, 2022. "A Framework for Building Multicriteria Decision Models with Regard to Reliability, Risk, and Maintenance," International Series in Operations Research & Management Science, in: Adiel Teixeira de Almeida & Love Ekenberg & Philip Scarf & Enrico Zio & Ming J. Zuo (ed.), Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis, pages 57-75, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-89647-8_4
    DOI: 10.1007/978-3-030-89647-8_4
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