An Ordering Decision-Making Approach on Spare Parts for Civil Aircraft Based on a One-Sample Prediction
Ordering decision-making on spare parts is crucial in maximizing aircraft utilization and minimizing operating costs. This paper develops an approach of ordering decision-making for civil aircraft spare parts based on a one-sample prediction. Engineering background for line replace units, failure/re...
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2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8323189/ |
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doaj-b7715bff47da4958b565c0b0bc31a61c2021-03-29T20:49:29ZengIEEEIEEE Access2169-35362018-01-016277902779510.1109/ACCESS.2018.28184048323189An Ordering Decision-Making Approach on Spare Parts for Civil Aircraft Based on a One-Sample PredictionYongquan Sun0https://orcid.org/0000-0001-7045-4022Xueling Hao1Zimei Su2He Ren3Institute of Sensor and Reliability Engineering, Harbin University of Science and Technology, Harbin, ChinaInstitute of Sensor and Reliability Engineering, Harbin University of Science and Technology, Harbin, ChinaInstitute of Sensor and Reliability Engineering, Harbin University of Science and Technology, Harbin, ChinaShanghai Engineering Research Center of Civil Aircraft Health Monitoring, Shanghai, ChinaOrdering decision-making on spare parts is crucial in maximizing aircraft utilization and minimizing operating costs. This paper develops an approach of ordering decision-making for civil aircraft spare parts based on a one-sample prediction. Engineering background for line replace units, failure/replace processes, and spare parts requirements are represented. The model for future failure time is proposed based on the conditional probability density function of the failure time. A Weibull process with failure truncated and time truncated is employed to establish the prediction model. The point estimates and prediction bounds for future failure time are provided. Moreover, a prediction procedure for spare parts is investigated by identifying the ordering time and ordering quantity. Finally, a case study illustrates the developed method by predicting the spare parts as well as future failure time for engine-driven pumps. The predicted results are compared with the reality to demonstrate the effectiveness of the developed method.https://ieeexplore.ieee.org/document/8323189/Order decision-makingspare partscivil aircraftone-sample predictionconditional distribution |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Yongquan Sun Xueling Hao Zimei Su He Ren |
| spellingShingle |
Yongquan Sun Xueling Hao Zimei Su He Ren An Ordering Decision-Making Approach on Spare Parts for Civil Aircraft Based on a One-Sample Prediction IEEE Access Order decision-making spare parts civil aircraft one-sample prediction conditional distribution |
| author_facet |
Yongquan Sun Xueling Hao Zimei Su He Ren |
| author_sort |
Yongquan Sun |
| title |
An Ordering Decision-Making Approach on Spare Parts for Civil Aircraft Based on a One-Sample Prediction |
| title_short |
An Ordering Decision-Making Approach on Spare Parts for Civil Aircraft Based on a One-Sample Prediction |
| title_full |
An Ordering Decision-Making Approach on Spare Parts for Civil Aircraft Based on a One-Sample Prediction |
| title_fullStr |
An Ordering Decision-Making Approach on Spare Parts for Civil Aircraft Based on a One-Sample Prediction |
| title_full_unstemmed |
An Ordering Decision-Making Approach on Spare Parts for Civil Aircraft Based on a One-Sample Prediction |
| title_sort |
ordering decision-making approach on spare parts for civil aircraft based on a one-sample prediction |
| publisher |
IEEE |
| series |
IEEE Access |
| issn |
2169-3536 |
| publishDate |
2018-01-01 |
| description |
Ordering decision-making on spare parts is crucial in maximizing aircraft utilization and minimizing operating costs. This paper develops an approach of ordering decision-making for civil aircraft spare parts based on a one-sample prediction. Engineering background for line replace units, failure/replace processes, and spare parts requirements are represented. The model for future failure time is proposed based on the conditional probability density function of the failure time. A Weibull process with failure truncated and time truncated is employed to establish the prediction model. The point estimates and prediction bounds for future failure time are provided. Moreover, a prediction procedure for spare parts is investigated by identifying the ordering time and ordering quantity. Finally, a case study illustrates the developed method by predicting the spare parts as well as future failure time for engine-driven pumps. The predicted results are compared with the reality to demonstrate the effectiveness of the developed method. |
| topic |
Order decision-making spare parts civil aircraft one-sample prediction conditional distribution |
| url |
https://ieeexplore.ieee.org/document/8323189/ |
| work_keys_str_mv |
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