Research on Individual Demand Forecasting Based on Clustering

被引：0

作者：

Zhan Rong ^{[1
]}

Chen Rongqiu ^{[1
]}

机构：

[1] HUST, Sch Management, Wuhan, Peoples R China

来源：

EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8 | 2010年

关键词：

individual demand forecasting; clustering; subsequence matching; case-based reasoning; TIME;

D O I：

暂无

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

The individual demand forecasting is the operations foundation of realizing instant customization paradigm. After describing the model of individual demand forecasting, an oriented-attribute forecasting approach is proposed for individual demand forecasting. How to perform individual demand forecasting based on clustering is studied intensively. Firstly, the individual demand information is clustered, and then the similar cases will be searched by use of subsequence matching. The performances of forecasting on some real data reveal that our new method is perfect.

引用

页码：5615 / 5618

页数：4

共 6 条

[1] Shape-based retrieval in time-series databases
Kim, SW
Yoon, J
Park, S
Won, JI
[J]. JOURNAL OF SYSTEMS AND SOFTWARE, 2006, 79 (02) : 191 - 203
[2] Clustering of time series data - a survey
Liao, TW
[J]. PATTERN RECOGNITION, 2005, 38 (11) : 1857 - 1874
[3] SEBASTIEN T, 2006, DECIS SUPPORT SYST, V42, P408
[4] STALK G, 1988, HARVARD BUS REV, V66, P41
[5] Operational tactics and tenets of a new manufacturing paradigm 'instant customerisation'
Tang, ZJ
Chen, RQ
Ji, XH
[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2005, 43 (14) : 2873 - 2894
[6] ZHAN R, 2008, 2008 INT C WIR COMM

← 1 →