Research on the Application of Three Exponential Smoothing Models in Spare Parts Consumption Prediction

DOI

10.2991/978-94-6463-264-4_70How to use a DOI?

Keywords

Exponential Smoothing; Consumption Prediction; Spare Parts; Time Series

Abstract

In response to the problem of large data storage capacity and limited prediction in recent years in the moving average method, this article uses three exponential smoothing methods to establish a primary exponential smoothing model, a secondary exponential smoothing model, and a tertiary exponential smoothing model to predict spare parts consumption, and analyzes the application effect of the model through numerical examples. The numerical examples show that the three exponential smoothing models can effectively solve the problem of moving average method in spare parts consumption prediction, and the proposed research method has certain promotion and application value.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Jian Ren
AU  - Kun Li
AU  - Qiuhong Tan
AU  - Feng Guo
PY  - 2023
DA  - 2023/09/28
TI  - Research on the Application of Three Exponential Smoothing Models in Spare Parts Consumption Prediction
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 610
EP  - 616
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_70
DO  - 10.2991/978-94-6463-264-4_70
ID  - Ren2023
ER  -