DocumentCode
2069266
Title
Notice of Retraction
Study on Customer Relationship Management System of Manufacturing Enterprises Based on ERP
Author
Longyi Li ; Yansheng Zhang
Author_Institution
Dept. of e-Bus., South China Univ. of Technol., Guangzhou, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The article focuses on technology and tools such as enterprise resource planning (ERP), the customer analysis of algorithms, data warehousing, OLAP, CRM modules, combining with ideas of customer relationship management, to put forward the model and program of manufacturing enterprise customer relationship management application, which is the implementation of enterprise CRM, improve the relevance and effectiveness of services, and provide an effective solution.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The article focuses on technology and tools such as enterprise resource planning (ERP), the customer analysis of algorithms, data warehousing, OLAP, CRM modules, combining with ideas of customer relationship management, to put forward the model and program of manufacturing enterprise customer relationship management application, which is the implementation of enterprise CRM, improve the relevance and effectiveness of services, and provide an effective solution.
Keywords
customer relationship management; enterprise resource planning; manufacturing systems; CRM modules; ERP; OLAP; customer analysis; customer relationship management system; data warehousing; enterprise resource planning; manufacturing enterprises; Algorithm design and analysis; Customer relationship management; Data analysis; Data mining; Data warehouses; Enterprise resource planning; Marketing and sales; Marketing management; Virtual manufacturing; Warehousing;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Type
conf
DOI
10.1109/ICMSS.2009.5300906
Filename
5300906
Link To Document