Spare Parts Forecasting and Lumpiness Classification Using Neural Network Model and Its Impact on Aviation Safety

Spare Parts Forecasting and Lumpiness Classification Using Neural Network Model and Its Impact on Aviation Safety

Safety critical spare parts hold special importance for aviation organizations. However, accurate forecasting of such parts becomes challenging when the data are lumpy or intermittent. This research paper proposes an artificial neural network (ANN) model that is able to observe the recent trends of...

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Bibliographic Details
Main Authors: Imran Shafi, Amir Sohail, Jamil Ahmad, Julio César Martínez Espinosa, Luis Alonso Dzul López, Ernesto Bautista Thompson, Imran Ashraf
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
lumpy demand forecasting
aviation
machine learning
spare part demand prediction
Online Access:https://www.mdpi.com/2076-3417/13/9/5475

Internet

https://www.mdpi.com/2076-3417/13/9/5475

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