Optimal inspection of a complex system subject to periodic and opportunistic inspections and preventive replacements

► We model a system with revealed and hidden failures. ► System undergoes periodic and opportunistic inspections. ► Two mathematical models are developed to calculate the total excepted cost. ► The periodic inspection interval is optimized. This paper proposes two optimization models for the periodi...

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Bibliographic Details
Published inEuropean journal of operational research Vol. 220; no. 3; pp. 649 - 660
Main Authors Taghipour, Sharareh, Banjevic, Dragan
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.08.2012
Elsevier
Elsevier Sequoia S.A
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Summary:► We model a system with revealed and hidden failures. ► System undergoes periodic and opportunistic inspections. ► Two mathematical models are developed to calculate the total excepted cost. ► The periodic inspection interval is optimized. This paper proposes two optimization models for the periodic inspection of a system with “hard-type” and “soft-type” components. Given that the failures of hard-type components are self-announcing, the component is instantly repaired or replaced, but the failures of soft-type components can only be detected at inspections. A system can operate with a soft failure, but its performance may be reduced. Although a system may be periodically inspected, a hard failure creates an opportunity for additional inspection (opportunistic inspection) of all soft-type components. Two optimization models are discussed in the paper. In the first, soft-type components undergo both periodic and opportunistic inspections to detect possible failures. In the second, hard-type components undergo periodic inspections and are preventively replaced depending on their condition at inspection. Soft-type and hard-type components are either minimally repaired or replaced when they fail. Minimal repair or replacement depends on the state of a component at failure; this, in turn, depends on its age. The paper formulates objective functions for the two models and derives recursive equations for their required expected values. It develops a simulation algorithm to calculate these expected values for a complex model. Several examples are used to illustrate the models and the calculations. The data used in the examples are adapted from a real case study of a hospital’s maintenance data for a general infusion pump.
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ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2012.02.002