Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

<Previous Article In Volume
Next Article In Volume>

Auto Sales Forecasting Model Based on Target Customer Satisfaction Theory

Authors
Siyun He1, *
1School of Food Science and Technology, Wuhan business University, Wuhan, Hubei, 430000, China
*Corresponding author. Email: 790693032@qq.com
Corresponding Author
Siyun He
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_78How to use a DOI?
Keywords
Baking industry; Information system; Query optimization
Abstract

With the continuous expansion of enterprises, the replicability and standardization of management has become the primary problem of enterprises. As the baking industry in the new era, both the early manual management and the preliminary information management are faced with many puzzles. Therefore, all kinds of advanced management ideas and concepts must be integrated and solidified into the information system, so that such a system can become the information system urgently needed by the domestic baking industry. This topic launches the research on the design and implementation of baking industry information system. This paper combines the characteristics of cloud computing technology and information business of baking industry, designs the information platform of baking industry based on cloud computing technology, and adopts SOA (Service-Oriented Architecture) and query optimization algorithm based on semi-connected strategy. The research shows that for a given query example, most of the combinations of the algorithms in this paper are good, and the average cost of generating plan of this algorithm is improved by 40.201% compared with incremental heuristic algorithm and 20.126% compared with simulated annealing algorithm. Therefore, it can be concluded that the optimizationscheme proposed in this paper is feasible.

Copyright
© 2022 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 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
10.2991/978-94-6463-108-1_78
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_78How to use a DOI?
Copyright
© 2022 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  - Siyun He
PY  - 2022
DA  - 2022/12/30
TI  - Auto Sales Forecasting Model Based on Target Customer Satisfaction Theory
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 700
EP  - 710
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_78
DO  - 10.2991/978-94-6463-108-1_78
ID  - He2022
ER  -