Optimizing a Multi-State Cold-Standby System with Multiple Vacations in the Repair and Loss of Units

A complex multi-state redundant system with preventive maintenance subject to multiple events is considered. The online unit can undergo several types of failure: both internal and those provoked by external shocks. Multiple degradation levels are assumed as both internal and external. Degradation l...

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Main Author: Juan Eloy Ruiz-Castro
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/8/913
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spelling doaj-09a66a97e3da4fea96104cae93ac659a2021-04-20T23:04:14ZengMDPI AGMathematics2227-73902021-04-01991391310.3390/math9080913Optimizing a Multi-State Cold-Standby System with Multiple Vacations in the Repair and Loss of UnitsJuan Eloy Ruiz-Castro0Department of Statistics and O.R., Math Institute (IMAG), University of Granada, 18071 Granada, SpainA complex multi-state redundant system with preventive maintenance subject to multiple events is considered. The online unit can undergo several types of failure: both internal and those provoked by external shocks. Multiple degradation levels are assumed as both internal and external. Degradation levels are observed by random inspections and, if they are major, the unit goes to a repair facility where preventive maintenance is carried out. This repair facility is composed of a single repairperson governed by a multiple vacation policy. This policy is set up according to the operational number of units. Two types of task can be performed by the repairperson, corrective repair and preventive maintenance. The times embedded in the system are phase type distributed and the model is built by using Markovian Arrival Processes with marked arrivals. Multiple performance measures besides the transient and stationary distribution are worked out through matrix-analytic methods. This methodology enables us to express the main results and the global development in a matrix-algorithmic form. To optimize the model, costs and rewards are included. A numerical example shows the versatility of the model.https://www.mdpi.com/2227-7390/9/8/913reliabilityredundant systemspreventive maintenancemultiple vacations
collection DOAJ
language English
format Article
sources DOAJ
author Juan Eloy Ruiz-Castro
spellingShingle Juan Eloy Ruiz-Castro
Optimizing a Multi-State Cold-Standby System with Multiple Vacations in the Repair and Loss of Units
Mathematics
reliability
redundant systems
preventive maintenance
multiple vacations
author_facet Juan Eloy Ruiz-Castro
author_sort Juan Eloy Ruiz-Castro
title Optimizing a Multi-State Cold-Standby System with Multiple Vacations in the Repair and Loss of Units
title_short Optimizing a Multi-State Cold-Standby System with Multiple Vacations in the Repair and Loss of Units
title_full Optimizing a Multi-State Cold-Standby System with Multiple Vacations in the Repair and Loss of Units
title_fullStr Optimizing a Multi-State Cold-Standby System with Multiple Vacations in the Repair and Loss of Units
title_full_unstemmed Optimizing a Multi-State Cold-Standby System with Multiple Vacations in the Repair and Loss of Units
title_sort optimizing a multi-state cold-standby system with multiple vacations in the repair and loss of units
publisher MDPI AG
series Mathematics
issn 2227-7390
publishDate 2021-04-01
description A complex multi-state redundant system with preventive maintenance subject to multiple events is considered. The online unit can undergo several types of failure: both internal and those provoked by external shocks. Multiple degradation levels are assumed as both internal and external. Degradation levels are observed by random inspections and, if they are major, the unit goes to a repair facility where preventive maintenance is carried out. This repair facility is composed of a single repairperson governed by a multiple vacation policy. This policy is set up according to the operational number of units. Two types of task can be performed by the repairperson, corrective repair and preventive maintenance. The times embedded in the system are phase type distributed and the model is built by using Markovian Arrival Processes with marked arrivals. Multiple performance measures besides the transient and stationary distribution are worked out through matrix-analytic methods. This methodology enables us to express the main results and the global development in a matrix-algorithmic form. To optimize the model, costs and rewards are included. A numerical example shows the versatility of the model.
topic reliability
redundant systems
preventive maintenance
multiple vacations
url https://www.mdpi.com/2227-7390/9/8/913
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