Aircraft fault forecasting at maintenance service on the basis of historic data and aircraft parameters
(2017) In Eksploatacja i Niezawodnosc - Maintenance and Reliability 19(4). p.624-633- Abstract
- Aircraft maintenance and repair organizations (MROs) have to be competitive and attractive for both existing and new customers. The aircraft ground time at MROs should be as short as possible and cost effective without reducing the quality of the work. Process optimization in MROs requires the continuous improvement of processes and the elimination of non-value-added activities during maintenance checks. There is, on the one hand, an obligation to follow the prescribed procedures and, on the other hand, pressure for time and cost reduction. The aircraft servicing process has been analysed according to a lean methodology. The optimization of logistics processes is recognized as the most promising method for reducing the maintenance service... (More)
- Aircraft maintenance and repair organizations (MROs) have to be competitive and attractive for both existing and new customers. The aircraft ground time at MROs should be as short as possible and cost effective without reducing the quality of the work. Process optimization in MROs requires the continuous improvement of processes and the elimination of non-value-added activities during maintenance checks. There is, on the one hand, an obligation to follow the prescribed procedures and, on the other hand, pressure for time and cost reduction. The aircraft servicing process has been analysed according to a lean methodology. The optimization of logistics processes is recognized as the most promising method for reducing the maintenance service time and costs of spare parts. The probability of aircraft faults is calculated on the basis of historic data from previously completed service projects. Aircraft parameters, such as aircraft type, operator, aircraft age, flight hours, flight cycles, engine type and operation
location, are taken into consideration in the fault forecasting. The fault probability is used as an indicator for defining a priority list for the accomplishment of jobs included in the aircraft maintenance service. The proposed methodology was validated and confirmed on four different projects. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1798c21c-ba2e-4d41-8504-38122fc0fd56
- author
- Pogačnik, Borut ; Duhovnik, Joze and Tavcar, Joze LU
- publishing date
- 2017-09-21
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- aircraft maintenance, fault forecasting, lean methods, machine learning, spare parts logistics
- in
- Eksploatacja i Niezawodnosc - Maintenance and Reliability
- volume
- 19
- issue
- 4
- pages
- 10 pages
- external identifiers
-
- scopus:85030252333
- DOI
- 10.17531/ein.2017.4.17
- language
- English
- LU publication?
- no
- id
- 1798c21c-ba2e-4d41-8504-38122fc0fd56
- date added to LUP
- 2020-10-13 16:20:29
- date last changed
- 2022-04-19 01:26:44
@article{1798c21c-ba2e-4d41-8504-38122fc0fd56,
abstract = {{Aircraft maintenance and repair organizations (MROs) have to be competitive and attractive for both existing and new customers. The aircraft ground time at MROs should be as short as possible and cost effective without reducing the quality of the work. Process optimization in MROs requires the continuous improvement of processes and the elimination of non-value-added activities during maintenance checks. There is, on the one hand, an obligation to follow the prescribed procedures and, on the other hand, pressure for time and cost reduction. The aircraft servicing process has been analysed according to a lean methodology. The optimization of logistics processes is recognized as the most promising method for reducing the maintenance service time and costs of spare parts. The probability of aircraft faults is calculated on the basis of historic data from previously completed service projects. Aircraft parameters, such as aircraft type, operator, aircraft age, flight hours, flight cycles, engine type and operation<br/>location, are taken into consideration in the fault forecasting. The fault probability is used as an indicator for defining a priority list for the accomplishment of jobs included in the aircraft maintenance service. The proposed methodology was validated and confirmed on four different projects.}},
author = {{Pogačnik, Borut and Duhovnik, Joze and Tavcar, Joze}},
keywords = {{aircraft maintenance; fault forecasting; lean methods; machine learning; spare parts logistics}},
language = {{eng}},
month = {{09}},
number = {{4}},
pages = {{624--633}},
series = {{Eksploatacja i Niezawodnosc - Maintenance and Reliability}},
title = {{Aircraft fault forecasting at maintenance service on the basis of historic data and aircraft parameters}},
url = {{http://dx.doi.org/10.17531/ein.2017.4.17}},
doi = {{10.17531/ein.2017.4.17}},
volume = {{19}},
year = {{2017}},
}