Finite time preventive maintenance optimization by using a Semi-Markov process with a degraded state. A case study for diesel engines in mining

dc.contributor.authorSánchez Herguedas, Antonio
dc.contributor.authorMena Nieto, Ángel Isidro
dc.contributor.authorCrespo Márquez, Adolfo
dc.contributor.authorRodrigo Muñoz, Francisco
dc.date.accessioned2024-04-01T07:01:55Z
dc.date.available2024-04-01T07:01:55Z
dc.date.issued2024
dc.description.abstractDuring the design of maintenance plans for an asset, the frequency calculation of preventive interventions is a maintenance engineer’s essential task. This document presents a tool (mathematical formula) to calculate the preventive maintenance interval. The tool considers the maintenance costs and the income generated for the company by its use. Managers can benefit from its simple application to gain efficiency. Typically, business projects are executed over a period. The tool calculates the optimal interval for any given project duration. It also allows the analysis of the size of the preventive interval when the income received changes. This change may be due to asset impairment or changes in the market price of the business product. For the development of the tool, a semi-Markovian model is designed with four states representing the operation and maintenance of the asset. The asset evolves by transiting between states and accumulating costs and income in the form of returns. From the model, a system of difference equations is developed whose variable is the expected accumulated return at any transition, and the z-transform is used to solve it. Deriving its mathematical expression, the formula for the preventive interval that maximizes the expected accumulated return is obtained. Both formulae are used in a case study. Taking advantage of the degraded state, it is shown that higher income increases the interval size while lower income decreases it. The limits of these variations are also established. Simulation and numerical methods are used to validate analytic results.es_ES
dc.description.departmentIngeniería Eléctrica y Térmica, de Diseño y Proyectos
dc.identifier.citationSánchez-Herguedas, A., Mena-Nieto, A., Crespo-Márquez, A., & Rodrigo-Muñoz, F. (2024). Finite time preventive maintenance optimization by using a Semi-Markov process with a degraded state. A case study for diesel engines in mining. In Computers & Industrial Engineering (Vol. 190, p. 110083). Elsevier BV. https://doi.org/10.1016/j.cie.2024.110083es_ES
dc.identifier.doi10.1016/j.cie.2024.110083
dc.identifier.issn0360-8352
dc.identifier.urihttps://hdl.handle.net/10272/23436
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherPreventive intervales_ES
dc.subject.otherCosts and incomees_ES
dc.subject.otherMaintenance modeles_ES
dc.subject.otherSemi-Markov processes_ES
dc.subject.otherFinite horizones_ES
dc.subject.otherDegraded statees_ES
dc.subject.unesco33 Ciencias Tecnológicases_ES
dc.titleFinite time preventive maintenance optimization by using a Semi-Markov process with a degraded state. A case study for diesel engines in mininges_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication75467397-22cd-4da5-aa1b-3da9963f6134
relation.isAuthorOfPublication.latestForDiscovery75467397-22cd-4da5-aa1b-3da9963f6134

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