Demand forecast of aviation spare parts based on grey model

Yonghui Sun; Xiaozhong Yan; Zhen Wang

doi:10.1117/12.2692483

23 August 2023 Demand forecast of aviation spare parts based on grey model

Yonghui Sun, Xiaozhong Yan, Zhen Wang

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127842I (2023) https://doi.org/10.1117/12.2692483
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

The demand forecast of aviation spare parts is one of the important links of aviation supplies support. Many forecasting methods can predict the demand of aviation spare parts to a certain extent, but in practice, the lack of historical data and known information often occur, and many forecasting models will fail to carry out forecasting work. In view of the lack, based on the grey theory, this paper discusses the establishment and the test of the grey model, studies and analyzes the demand forecasting method of aviation spare parts based on the grey model, and finally proves its effectiveness through an example.

Citation Download Citation

Yonghui Sun, Xiaozhong Yan, and Zhen Wang "Demand forecast of aviation spare parts based on grey model", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127842I (23 August 2023); https://doi.org/10.1117/12.2692483

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