DocumentCode
2729172
Title
Notice of Retraction
The design of R/M integrated supply chain risk early warning system
Author
Li Sha ; Gu Qiao-lun
Author_Institution
Sch. of Inf. Technol. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
fYear
2011
fDate
15-17 July 2011
Firstpage
430
Lastpage
433
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.
To manage R/M integrated supply chain information more conveniently, and forecast the risks from the risk information, we designed the base functions for the early warning system according to its desires. Then combined with the characteristic of R/M integrated supply chain to develop the design, emphasizing on data analysis, we divide the data module. And then design the overall structure.
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.
To manage R/M integrated supply chain information more conveniently, and forecast the risks from the risk information, we designed the base functions for the early warning system according to its desires. Then combined with the characteristic of R/M integrated supply chain to develop the design, emphasizing on data analysis, we divide the data module. And then design the overall structure.
Keywords
data analysis; information management; risk management; supply chain management; R-M integrated supply chain information management; R-M integrated supply chain risk early warning system; data analysis; data module; Alarm systems; Database systems; Marketing and sales; Monitoring; Recycling; Supply chains; R/M integrated supply chain; module design; risk early warning;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-9699-0
Type
conf
DOI
10.1109/ICSESS.2011.5982345
Filename
5982345
Link To Document