Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

<Previous Article In Volume
Next Article In Volume>

Prediction of cigarette production in China based on Exponential Smoothing

Authors
Linsheng Ma1, *, Jingyi Wang1
1School of Business Administration, Guangdong University of Finance & Economics, Guangzhou, China
*Corresponding author. Email: 17876252061@qq.com
Corresponding Author
Linsheng Ma
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_21How to use a DOI?
Keywords
output prediction; Single exponential smoothing; Brand
Abstract

As a kind of traditional industry in China, tobacco plays an important role in many industries in China. The importance of brand building has been reflected incisively and vividly in today's commercial society. A good brand has immeasurable value. However, most of China's cigarettes lack awareness of brand building. This paper uses the statistical data of China's monthly cigarette output in 2020 in the database of China Commercial Industry Research Institute, and uses Single exponential smoothing to predict. The results show that enterprises can adjust production operation management according to the prediction results, improve the efficiency of the supply chain, reasonably allocate inventory, meet the market demand, actively adapt to the changes of the market, better realize precision marketing, and improve the marketing level and economic benefits of tobacco enterprises, so as to create a better cigarette brand.

Copyright
© 2023 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)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_21How to use a DOI?
Copyright
© 2023 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.

Cite this article

risenwbib
TY  - CONF
AU  - Linsheng Ma
AU  - Jingyi Wang
PY  - 2022
DA  - 2022/12/29
TI  - Prediction of cigarette production in China based on Exponential Smoothing
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 178
EP  - 186
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_21
DO  - 10.2991/978-94-6463-102-9_21
ID  - Ma2022
ER  -