Maintenance for reliability—a case study

Lorén, Sara; Maré, Jacques de

doi:10.1007/s10479-011-0873-8

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…Many maintenance optimization models have been developed for jet engines to find the optimal PM schedule. Sara et al [19] considered the replacement cost according to a plan and the replacement costs after failure to optimize the PM schedule using lifetime distribution of components. They applied their idea to a jet engine.…”

Section: Introductionmentioning

confidence: 99%

Jet Engine Optimal Preventive Maintenance Scheduling Using Golden Section Search and Genetic Algorithm

Afshari¹,

Jonnadula²,

Xu³

et al. 2022

J Progn Health Mgt

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Jet engines are critical assets in aircraft, and their availability is crucial in the modern aircraft industry. Therefore, their maintenance scheduling is one of the major tasks an airline has to make during an engine’s lifetime. A proper engine maintenance schedule can significantly reduce maintenance costs without compromising the aircraft's reliability and safety. Different maintenance scheduling approaches have been used for jet engines, such as corrective, preventive, and predictive maintenance strategies. Regarding the safety demands in aircraft industries, preventive maintenance is a frequent maintenance method for jet engines. However, preventive maintenance schedules are often use fixed maintenance intervals, which is usually suboptimal. This paper focuses on minimizing a jet engine's overall maintenance cost by optimizing its preventive maintenance schedule based on an engine’s comprehensive reliability model. A hierarchical optimization framework including the golden section search and genetic algorithms is applied to find the optimal set of preventive maintenance number and their times and the components to be replaced at those times during the jet engine's overall lifetime. The Monte Carlo simulation is used to estimate the engine’s failure times using their lifetime distributions from the reliability model. The estimated failure times are then used to determine the engine's overall corrective and preventive maintenance costs during its lifetime. Finally, an optimal preventive maintenance schedule is proposed for an RB 211 jet engine using the presented method. In the end, comparing the proposed method's overall maintenance cost with two other maintenance methods demonstrates the proposed schedule's effectiveness. The method presented in this paper is generic, and it can be used for other similar engineering systems.

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Section: Introductionmentioning

confidence: 99%

Jet Engine Optimal Preventive Maintenance Scheduling Using Golden Section Search and Genetic Algorithm

Afshari¹,

Jonnadula²,

Xu³

et al. 2022

J Progn Health Mgt

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show abstract

“…The lifetimes of the components vital for safety are deterministic, and the components whose failures only cause a reduced performance of the engine are allowed to have a stochastic life. In a project carried out at Volvo Aero, Lorén and Maré 32 studied a low‐pressure turbine nozzle as the stochastic component. Besides its lifetime, the nozzle has failed when the crack created on it is longer than 30 mm.…”

Section: Introductionmentioning

confidence: 99%

On preventive maintenance scheduling for the systems exposed to aging and external shocks

Hashemi

Asadi

Tavangar

2022

Appl Stoch Models Bus & Ind

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This paper investigates some maintenance strategies for repairable systems that are exposed to two distinct types of failure: internal failures due to aging over time and fatal external shocks arriving according to a nonhomogeneous Poisson process. When the system fails, it will be repaired, and it is assumed that the repair does not bring the system to an as-good-as-new state. Two maintenance models are developed to prevent the system from failure under the mentioned scenario. By imposing the related cost functions, we investigate the corresponding optimal policy for each model such that the expected cost rate is minimized. Some numerical examples and simulation studies are presented to demonstrate the proposed maintenance models.

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A Proactive Model for Joint Maintenance and Logistics Optimization in the Frame of Industrial Internet of Things

Bousdekis

Mentzas

2018

Operational Research in the Digital Era – ICT Challenges

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Maintenance for reliability—a case study

Cited by 7 publications

References 4 publications

Jet Engine Optimal Preventive Maintenance Scheduling Using Golden Section Search and Genetic Algorithm

Jet Engine Optimal Preventive Maintenance Scheduling Using Golden Section Search and Genetic Algorithm

On preventive maintenance scheduling for the systems exposed to aging and external shocks

A Proactive Model for Joint Maintenance and Logistics Optimization in the Frame of Industrial Internet of Things

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