77070 20231215090948.0 doi 10.1016/j.ejor.2018.01.042 sideral 105926 ART-2018-105926 eng Berrade, M.D. Universidad de Zaragoza (orcid)0000-0002-8035-5762 Conditional inspection and maintenance of a system with two interacting components 2018 Access copy available to the general public Unrestricted In this paper we consider the inspection and maintenance of a two-component system with stochastic dependence. A failure of component 1 may induce the defective state in component 2 which in turn leads to its failure. A failure of component 1 and a defect in component 2 are detected by inspection. Our model considers a conditional inspection policy: when component 1 is found to have failed, inspection of component 2 is triggered. This opportunistic inspection policy is a natural one to use given this stochastic dependence between the components. The long-run cost per unit time (cost-rate) of the conditional inspection policy is determined generally. A real system that cuts rebar mesh motivates the model development. The numerical examples reveal that when the ratio of the cost of corrective system replacement, that is on failure, to the cost of preventive system replacement is large there exists a finite optimum policy in most cases. Moreover, for the studied system wherein inspections of component 2 are expensive relative to those of component 1, having a reliable indicator of the defective state in component 2 is a good strategy to avoid costly failures of component 2, particularly when its time to failure is short. info:eu-repo/grantAgreement/ES/MINECO/MTM2015-63978-P info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.806 2018 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 13 / 84 = 0.155 2018 Q1 T1 2.205 2018 Computer Science (miscellaneous) 2018 Q1 Modeling and Simulation 2018 Q1 Management Science and Operations Research 2018 Q1 Information Systems and Management 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Scarf, P.A. Cavalcante, C.A.V. 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 268, 2 (2018), 533-544 Eur. J. oper. res. European Journal of Operational Research 0377-2217 1730450 http://zaguan.unizar.es/record/77070/files/texto_completo.pdf Postprint 62766 http://zaguan.unizar.es/record/77070/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:77070 articulos driver 2023-12-15-08:57:32 ARTICLE