A Multicriteria Model to Determine Maintenance Policy for a Protection System Subject to Imperfect Maintenance

Alexandre Ramalho Alberti () and Cristiano Alexandre Virgínio Cavalcante ()
Additional contact information
Alexandre Ramalho Alberti: Universidade Federal de Pernambuco
Cristiano Alexandre Virgínio Cavalcante: Universidade Federal de Pernambuco

A chapter in Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis, 2022, pp 203-226 from Springer

Abstract: Abstract A delay-time model for a hybrid inspection and preventive replacement policy that is applied to a protection system is presented. This model considers an important aspect of maintenance quality: the probability of defect induction in the inspection. Defect induction is much more frequent than imagined, and in some circumstances, it can be considered a major vulnerability in systems whereby some serious accidents occur. This quality parameter is difficult to evaluate and estimate accurately, and has a large impact on the results and the definition of the maintenance policy. Therefore, to suitably treat this problem, we propose the estimation of an a priori probability distribution for this parameter. Given the uncertain context of the problem, a multi-criteria approach based on the application of multi-attribute utility theory (MAUT) is proposed in order to define the maintenance policy that presents the best compromise between the cost and the rate of unmet demands. A numerical application is presented. The results show the importance of following a structured protocol to build the multi-criteria model and that the expected a priori results may be not confirmed.

Keywords: Maintenance; Protection systems; Delay-time; Defect induction; MCDM; MAUT (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-89647-8_10

Ordering information: This item can be ordered from
http://www.springer.com/9783030896478

DOI: 10.1007/978-3-030-89647-8_10

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().