@misc{10481/89761,
year = {2024},
month = {5},
url = {https://hdl.handle.net/10481/89761},
abstract = {This paper presents a maintenance policy for a modular system formed by 
 independent modules (n-subsystems) subjected to environmental conditions (shocks). For the modeling of this complex system, the use of the Matrix-Analytical Method (MAM) is proposed under a layered approach according to its hierarchical structure. Thus, the operational state of the system (top layer) depends on the states of the modules (middle layer), which in turn depend on the states of their components (bottom layer). This allows a detailed description of the system operation to plan maintenance actions appropriately and optimally. We propose a hierarchical decision-based maintenance strategy with periodic inspections as follows: at the time of the inspection, the condition of the system is first evaluated. If intervention is necessary, the modules are then checked to make individual decisions based on their states, and so on. Replacement or repair will be carried out as appropriate. An optimization problem is formulated as a function of the length of the inspection period and the intervention cost incurred over the useful life of the system. Our method shows the advantages, providing compact and implementable expressions. The model is illustrated on a submarine Electrical Control Unit (ECU).},
keywords = {Modular system},
keywords = {Phase-type distributions},
keywords = {Markovian processes},
keywords = {Matrix-analytic method},
keywords = {Maintenance modeling},
keywords = {Cost optimization},
title = {A hierarchical decision-based maintenance for a complex modular system driven by the MoMA algorithm},
doi = {https://doi.org/10.1016/j.ress.2024.110006},
author = {Gámiz Pérez, María Luz and Montoro Cazorla, Delia and Segovia García, María del Carmen},
}