Research of Sales Forecasting Model and Algorithm in Food and Beverage Enterprise
Li Gao (),
Ke-lin Xu () and
Dao-xiao Mao ()
Additional contact information
Li Gao: Tongji University
Ke-lin Xu: Tongji University
Dao-xiao Mao: Tongji University
Chapter Chapter 88 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 925-934 from Springer
Abstract:
Abstract Dishes sales prediction is vital to Food & beverage Enterprise. Nevertheless determining the sales remains very difficult because there are many factors that may influence the Dishes sales. A novel time series forecasting model is established by evolving and clustering decision tree. This forecasting model integrates decision tree algorithms (DT) and genetic algorithms (CA) to construct a sales predictions system based on historical data and the most optimized decision tree. The example analysis and calculation result shows that the proposed GADT model is feasible and effective.
Keywords: Dishes sales forecasting; Decision tree; Time series; Genetic algorithm (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-37270-4_88
Ordering information: This item can be ordered from
http://www.springer.com/9783642372704
DOI: 10.1007/978-3-642-37270-4_88
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().