Forecasting for Air Material Consumption Based on Winters Exponential Smoothing Model

DOI

10.2991/amcce-17.2017.120How to use a DOI?

Keywords

Winters Model, Seasonal Forecasting, Air Material Consumption.

Abstract

It is indispensable to scientifically predict the consumption of air material spare parts and to make scientific decisions on aviation equipment maintenance resources and make full use of existing resources to improve maintenance capability. In the process of aviation equipment maintenance and support, the consumption of air material spare parts tends to show a seasonal change. In this paper, the mathematic model and calculation method of Winters exponential smoothing are discussed. The application of Winters model in forecasting the consumption of air material spare parts is analyzed by examples. And the forecasting results were analyzed and compared. At last, the results show that the Winters model is feasible and effective for the prediction of air material spare parts consumption.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yanming Yang
AU  - Wenxiu Wang
AU  - Chaoran Guo
PY  - 2017/03
DA  - 2017/03
TI  - Forecasting for Air Material Consumption Based on Winters Exponential Smoothing Model
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 695
EP  - 698
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.120
DO  - 10.2991/amcce-17.2017.120
ID  - Yang2017/03
ER  -