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Demand forecasting methods for spare parts logistics for aviation: a real-world implementation of the Bootstrap method

  • Published:2021 Issue: Volume:55 Page:500-506
  • ISSN:2351-9789
  • Container-title:Procedia Manufacturing
  • language:en
  • Short-container-title:Procedia Manufacturing

Author:

Baisariyev M.,Bakytzhanuly A.,Serik Y.,Mukhanova B.,Babai M.Z.,Tsakalerou M.,Papadopoulos C.T.

Funder

Nazarbayev University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference13 articles.

1. Forecasting methods for predicting the demand of an airline’s spare parts;Baisariyev,2019

2. Forecasting of an airline’s AOG spare parts;Torgautov,2018

3. Decision Support Approach to Fleet Maintenance Requirements in the Aviation Industry;Weckman;Journal of Aircraft,2006

4. On the categorization of demand patterns;Syntetos;Journal of the Operational Research Society,2005

5. Managing lumpy demand for aircraft spare parts;Regattieri;Journal of Air Transport Management,2005

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spare parts management in industry 4.0 era: a literature review;Journal of Quality in Maintenance Engineering;2024-01-04

2. Predictive modeling of aircraft tyre demand using a hybrid CNN-LSTM architecture;2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT);2023-04-05

3. A retrieval method for land surface temperatures based on UAV broadband thermal infrared images via the three-dimensional look-up table;Building and Environment;2022-12
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