000126873 001__ 126873
000126873 005__ 20241125101155.0
000126873 0247_ $$2doi$$a10.1016/j.cie.2023.109291
000126873 0248_ $$2sideral$$a134144
000126873 037__ $$aART-2023-134144
000126873 041__ $$aeng
000126873 100__ $$0(orcid)0000-0002-8035-5762$$aBerrade, M.D.$$uUniversidad de Zaragoza
000126873 245__ $$aMaintenance of systems with critical components. Prevention of early failures and wear-out
000126873 260__ $$c2023
000126873 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126873 5203_ $$aWe present a model for inspection and maintenance of a system under two types of failures. Early failures (type I), affecting only a proportion p of systems, are due to a weak critical component detected by inspection. Type II failures are the result of the system ageing and preventive maintenance is used against them. The two novelties of this model are: (1) the use of a defective distribution to model strong components free of defects and thus immune to early failures. (2) the removal of the weak critical part once it is detected with no other type of rejuvenation of the system which constitutes an alternative to the minimal repair. We study the conditions under which this model outperforms, from a cost viewpoint, other two classical age-replacement models. The analysis reveals that inspection is advantageous if the system can function with the critical component in the defective state for a long enough time. The proportion of weak units and the quality of inspections also determine the optimum policy. The results about the range of application of the model are useful for decision making in actual maintenance. A case study concerning the timing belt of a four-stroke engine illustrates the model.
000126873 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/PID2021-123737NB-I00
000126873 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000126873 590__ $$a6.7$$b2023
000126873 592__ $$a1.701$$b2023
000126873 591__ $$aENGINEERING, INDUSTRIAL$$b11 / 69 = 0.159$$c2023$$dQ1$$eT1
000126873 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b21 / 170 = 0.124$$c2023$$dQ1$$eT1
000126873 593__ $$aComputer Science (miscellaneous)$$c2023$$dQ1
000126873 593__ $$aEngineering (miscellaneous)$$c2023$$dQ1
000126873 594__ $$a12.7$$b2023
000126873 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000126873 700__ $$0(orcid)0000-0002-5631-1401$$aCalvo, E.$$uUniversidad de Zaragoza
000126873 700__ $$0(orcid)0000-0002-6651-3306$$aBadía, F.G.$$uUniversidad de Zaragoza
000126873 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000126873 7102_ $$15001$$2600$$aUniversidad de Zaragoza$$bDpto. Ciencia Tecnol.Mater.Fl.$$cÁrea Mecánica de Fluidos
000126873 773__ $$g181 (2023), 109291 [13 pp.]$$pComput. ind. eng.$$tCOMPUTERS & INDUSTRIAL ENGINEERING$$x0360-8352
000126873 8564_ $$s918793$$uhttps://zaguan.unizar.es/record/126873/files/texto_completo.pdf$$yVersión publicada
000126873 8564_ $$s2744744$$uhttps://zaguan.unizar.es/record/126873/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000126873 909CO $$ooai:zaguan.unizar.es:126873$$particulos$$pdriver
000126873 951__ $$a2024-11-22-12:08:53
000126873 980__ $$aARTICLE