Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Desserts sales forecast based on the new information improved gray model

Authors
Di Liang, Guizhi Sun, Shuang Wu
Corresponding Author
Di Liang
Available Online May 2015.
DOI
10.2991/asei-15.2015.144How to use a DOI?
Keywords
Grey system; new information improved model; sales forecast
Abstract

In this paper, it took a well-known dessert stores as the research object. It analyzed the sales data of the certain selling desserts in the past few months. It took into account that the gray prediction model had some characteristics, such as the less data required, more accurate forecasting, high accuracy. It used the new information improved GM (1,1) model to forecast the raw material of a certain selling dessert under the new information principle of gray system theory. It can order accurately in the next according to the predicted results. It can solve the problem that the waste because of excessive order quantity and the loss because of lacking order quantity.So it can improve the store's turnover and bring more economic benefits.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-94-3
ISSN
2352-5401
DOI
10.2991/asei-15.2015.144How to use a DOI?
Copyright
© 2015, 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

TY  - CONF
AU  - Di Liang
AU  - Guizhi Sun
AU  - Shuang Wu
PY  - 2015/05
DA  - 2015/05
TI  - Desserts sales forecast based on the new information improved gray model
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 750
EP  - 753
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.144
DO  - 10.2991/asei-15.2015.144
ID  - Liang2015/05
ER  -