Age replacement policy in a random environment using systemability

Alessandro Persona, Hoang Pham, Fabio Sgarbossa

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Preventive maintenance is a group of maintenance policies based on preventive actions in order to predate the failure of a component or a system. Usually, these policies are designed using a series of data related to the studied units. All policies do not consider the effect of the environment where the components or systems operate. In this article, one of the most used policies, the age replacement policy, is also discussed taking into consideration the environmental effects using an innovative concept, introduced by Pham, called systemability. Several numerical examples are carried out in order to illustrate the aim of this work. The importance of environmental factors is also demonstrated thanks to the application to a real case.

Original languageEnglish (US)
Pages (from-to)1383-1397
Number of pages15
JournalInternational Journal of Systems Science
Volume41
Issue number11
DOIs
StatePublished - Nov 2010

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

Keywords

  • Weibull distribution
  • age replacement policy
  • operational environments
  • preventive maintenance
  • reliability
  • systemability

Fingerprint

Dive into the research topics of 'Age replacement policy in a random environment using systemability'. Together they form a unique fingerprint.

Cite this