Non-periodic inspection;
Multi-component system;
Opportunistic inspection;
Soft and hard failures;
Inspection optimization;
Genetic algorithm;
REPAIRABLE SYSTEM;
OPPORTUNISTIC INSPECTIONS;
PREVENTIVE MAINTENANCE;
PERIODIC INSPECTIONS;
RELIABILITY-ANALYSIS;
GENETIC ALGORITHM;
N SYSTEMS;
MODEL;
FAILURE;
POLICY;
D O I:
10.1016/j.ress.2016.08.008
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
This paper proposes a model to find the optimal non-periodic inspection interval over a finite planning horizon for two types of multi-component repairable systems. The first system contains hard-type and soft-type components, and the second system is a k-out-of-m system with m identical components. The failures of components in both systems follow a non-homogeneous Poisson process. A component can be a single part such as battery or line cord, or a subsystem, such as circuit breaker or charger in an infusion pump, which depending on their failures could be either replaced or minimally repaired according to their ages at failure. The systems are inspected at scheduled inspections or when an event of opportunistic inspection or a system failure occur. We develop a model to find the optimal inspection scheme for each system, which results in the minimum total expected cost over the system's lifecycle. We first develop a simulation model to obtain the total expected cost for a given non-periodic inspection scheme, and then integrate the simulation model with a genetic algorithm to obtain the optimal scheme more efficiently. (C) 2016 Elsevier Ltd. All rights reserved.
机构:
Ryerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, CanadaRyerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, Canada
Babishin, Vladimir
Hajipour, Yassin
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h-index: 0
机构:
Ryerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, CanadaRyerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, Canada
Hajipour, Yassin
论文数: 引用数:
h-index:
机构:
Taghipour, Sharareh
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY,
2018,
20
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: 327
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342