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Cost minimization of aircraft critical components for planning and maintenance requirements

Spare parts management of the aircrafts is a part of maintenance planning that requires effective and efficient planning in order to reduce aircraft downtime in maintenance processes. Spare parts unavailability during maintenance is one of the factors that affects operational availability of the air...

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Main Authors: Abdol Rahim, Fatin Hamizah, Mohd. Noor, Norliza, Abdullah, Haslaile, Annanurov, Bayram
Format: Article
Language:English
Published: Penerbit UTHM 2020
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/90575/1/NorlizaMohdNoor2020_CostMinimizationofAircraftCriticalComponents.pdf
http://eprints.utm.my/id/eprint/90575/
http://dx.doi.org/10.30880/ijie.2020.12.07.005
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spelling my.utm.905752021-04-30T14:48:05Z http://eprints.utm.my/id/eprint/90575/ Cost minimization of aircraft critical components for planning and maintenance requirements Abdol Rahim, Fatin Hamizah Mohd. Noor, Norliza Abdullah, Haslaile Annanurov, Bayram T Technology (General) Spare parts management of the aircrafts is a part of maintenance planning that requires effective and efficient planning in order to reduce aircraft downtime in maintenance processes. Spare parts unavailability during maintenance is one of the factors that affects operational availability of the aircrafts fleet. This study focused on identifying the current problem affecting operational availability of the aircrafts fleet, developing an optimization model for cost minimization of spare parts and assessing the impact on spare parts availability using the cost minimization optimization model. Data analysis using machine learning techniques in WEKA was used to identify the current problem that is affecting aircrafts fleet operational availability. Then, Linear Integer Programming (LIP) and Goal Programming (GP) methods were used to develop the cost minimization optimization model by considering the current stock level of the critical components and the budget constrain. From this study, we discovered that spare parts unavailability during maintenance was the biggest contributing factor to the operational availability of the aircrafts fleet. Besides that, the cost minimization optimization model developed in the research had produced optimum level of inventory for the critical components with minimum cost. Spare parts availability for the aircrafts fleet had been improved with the application of the model which directly maximizes the operational availability of the aircraft fleet. Penerbit UTHM 2020 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/90575/1/NorlizaMohdNoor2020_CostMinimizationofAircraftCriticalComponents.pdf Abdol Rahim, Fatin Hamizah and Mohd. Noor, Norliza and Abdullah, Haslaile and Annanurov, Bayram (2020) Cost minimization of aircraft critical components for planning and maintenance requirements. International Journal of Integrated Engineering, 12 (7). pp. 40-53. ISSN 2229-838X http://dx.doi.org/10.30880/ijie.2020.12.07.005
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Abdol Rahim, Fatin Hamizah
Mohd. Noor, Norliza
Abdullah, Haslaile
Annanurov, Bayram
Cost minimization of aircraft critical components for planning and maintenance requirements
description Spare parts management of the aircrafts is a part of maintenance planning that requires effective and efficient planning in order to reduce aircraft downtime in maintenance processes. Spare parts unavailability during maintenance is one of the factors that affects operational availability of the aircrafts fleet. This study focused on identifying the current problem affecting operational availability of the aircrafts fleet, developing an optimization model for cost minimization of spare parts and assessing the impact on spare parts availability using the cost minimization optimization model. Data analysis using machine learning techniques in WEKA was used to identify the current problem that is affecting aircrafts fleet operational availability. Then, Linear Integer Programming (LIP) and Goal Programming (GP) methods were used to develop the cost minimization optimization model by considering the current stock level of the critical components and the budget constrain. From this study, we discovered that spare parts unavailability during maintenance was the biggest contributing factor to the operational availability of the aircrafts fleet. Besides that, the cost minimization optimization model developed in the research had produced optimum level of inventory for the critical components with minimum cost. Spare parts availability for the aircrafts fleet had been improved with the application of the model which directly maximizes the operational availability of the aircraft fleet.
format Article
author Abdol Rahim, Fatin Hamizah
Mohd. Noor, Norliza
Abdullah, Haslaile
Annanurov, Bayram
author_facet Abdol Rahim, Fatin Hamizah
Mohd. Noor, Norliza
Abdullah, Haslaile
Annanurov, Bayram
author_sort Abdol Rahim, Fatin Hamizah
title Cost minimization of aircraft critical components for planning and maintenance requirements
title_short Cost minimization of aircraft critical components for planning and maintenance requirements
title_full Cost minimization of aircraft critical components for planning and maintenance requirements
title_fullStr Cost minimization of aircraft critical components for planning and maintenance requirements
title_full_unstemmed Cost minimization of aircraft critical components for planning and maintenance requirements
title_sort cost minimization of aircraft critical components for planning and maintenance requirements
publisher Penerbit UTHM
publishDate 2020
url http://eprints.utm.my/id/eprint/90575/1/NorlizaMohdNoor2020_CostMinimizationofAircraftCriticalComponents.pdf
http://eprints.utm.my/id/eprint/90575/
http://dx.doi.org/10.30880/ijie.2020.12.07.005
_version_ 1698696955646967808
score 13.211869

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