000150474 001__ 150474 000150474 005__ 20250210082345.0 000150474 020__ $$a978-0-443-13242-1 000150474 0247_ $$2doi$$a10.1016/B978-0-443-13242-1.00008-4 000150474 037__ $$aBOOK-2025-297 000150474 041__ $$aspa 000150474 100__ $$aBerrade Ursúa, María Dolores$$b 000150474 245__ $$aOn the quality of maintenance: The forgotten issue 000150474 250__ $$a1st ed. 000150474 260__ $$aAmsterdam$$bElsevier$$c2024 000150474 300__ $$a603-637 000150474 506__ $$aall-rights-reserved 000150474 520__ $$aHigh-quality maintenance is crucial to extend the life cycle of systems. Deficient procedures due to components with hidden flaws, incorrect refurbishing, or undertrained operators can seriously compromise that systems keep on working. This work analyzes the adverse effect using two policies based on mixtures of distributions to model either hidden defects due to undersized components or poor repairs leading to a diminished reliability. The first approach uses a defective distribution to describe the presence of a subpopulation free of defects. The second one deals with mixtures of nonhomogeneous Poisson processes to model repairs that restore the functionality of the system but with a worse-than-old condition. The results show that low-quality maintenance leads to a reduction of the optimal usage time, which is a serious detriment to sustainability. The most recent literature on this subject is also reviewed. 000150474 540__ $$9info:eu-repo/semantics/closedAccess 000150474 700__ $$aBadía, Francisco Germán$$b 000150474 700__ $$aCalvo, Esteban$$b 000150474 773__ $$tDevelopments in Reliability Engineering Advances in Reliability Science 000150474 8560_ $$fagroca@unizar.es 000150474 8564_ $$s264007$$uhttps://zaguan.unizar.es/record/150474/files/BOOK-2025-297.pdf$$ySin acceso$$zSin acceso 000150474 909CO $$ooai:zaguan.unizar.es:150474$$pbooks 000150474 980__ $$aBOOK$$bCAPITULOS$$b