Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)

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Research on Sales Forecasting Method for Transmission Parts of Customized Production

Authors
Jun Cheng, Tao Hong, Xiaohong Li, Honglin Wang
Corresponding Author
Honglin Wang
Available Online November 2018.
DOI
10.2991/cimns-18.2018.50How to use a DOI?
Keywords
product sales forecasting; ARIMA model; LSTM model; ARIMA-LSTM hybrid model
Abstract

With the advancement of manufacturing technology and the diversification of customer needs, product sales forecasting is critical to the company in a small-volume, multi-variety production model. Based on the traditional ARIMA model and the deep neural network LSTM model, this paper constructs the ARIMA-LSTM hybrid model to predict the sales of transmission parts manufacturing enterprises. The model uses the LSTM neural network to describe the linear and nonlinear components of the time series rather than the simple additive relationship in the traditional hybrid model. Therefore, the model overcomes the problems of low prediction accuracy that may exist in the traditional hybrid model. This paper selects the historical sales data of a certain manufacturer of a large transmission parts manufacturer in Sichuan, and carries out experimental verification on the constructed ARIMA-LSTM hybrid model. The results show that the model has high prediction accuracy and can provide reference for enterprise decision-making. The research work of this paper is supported by Sichuan Science & Technology Program under Grant No.2017GZ0144 & 2017GZ0047.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
Series
Advances in Computer Science Research
Publication Date
November 2018
ISBN
10.2991/cimns-18.2018.50
ISSN
2352-538X
DOI
10.2991/cimns-18.2018.50How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

risenwbib
TY  - CONF
AU  - Jun Cheng
AU  - Tao Hong
AU  - Xiaohong Li
AU  - Honglin Wang
PY  - 2018/11
DA  - 2018/11
TI  - Research on Sales Forecasting Method for Transmission Parts of Customized Production
BT  - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
PB  - Atlantis Press
SP  - 220
EP  - 224
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-18.2018.50
DO  - 10.2991/cimns-18.2018.50
ID  - Cheng2018/11
ER  -