DocumentCode :
2383663
Title :
Research and application of BP Neural Networks in Collaborative Supply Chain VMI´s customer demanding
Author :
Yang, Jiawei ; Xie, Bin ; Sha, Qiangyi
Author_Institution :
Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2010
fDate :
1-3 Dec. 2010
Firstpage :
348
Lastpage :
353
Abstract :
As the critical demand of market for greater product, how to ensure the minimum inventory of customers in the supply chain and to make a reasonable prediction on the customer needs are particularly essential. The neural network technology will be introduced to VMI customer demand prediction, by means of professional visualization software development, supply chain efficiency improvement and budget cost reduction, which will be better satisfied for forecast, operation and management of customer demand in the supply chain.
Keywords :
backpropagation; customer profiles; demand forecasting; groupware; inventory management; neural nets; software engineering; supply chain management; BP neural network; VMI customer demand prediction; budget cost reduction; collaborative supply chain; customers inventory; market demand; professional visualization software development; BP Neural Networks; Collaborative Supply Chain; Forecast; Vendor Management Inventory (VMI);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Applications (ICPCA), 2010 5th International Conference on
Conference_Location :
Maribor
Print_ISBN :
978-1-4244-9144-5
Type :
conf
DOI :
10.1109/ICPCA.2010.5704125
Filename :
5704125
Link To Document :
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