DocumentCode
2995667
Title
Notice of Retraction
An improved approach for solving production scheduling problem of virtual enterprise
Author
Houxing You ; Jie Lin
Author_Institution
Sch. of Econ. & Manage., Tongji Univ., Shanghai, China
Volume
2
fYear
2010
fDate
10-11 May 2010
Firstpage
364
Lastpage
366
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.
Under the dynamic complex environment, production scheduling of virtual enterprise is very difficult to research. According to the actual situation of the virtual enterprise production scheduling, this paper creates optimization model for production scheduling of virtual enterprise, and designing an improved ant colony algorithm for the model, data analysis of the final experiments demonstrates efficiency of the algorithm.
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.
Under the dynamic complex environment, production scheduling of virtual enterprise is very difficult to research. According to the actual situation of the virtual enterprise production scheduling, this paper creates optimization model for production scheduling of virtual enterprise, and designing an improved ant colony algorithm for the model, data analysis of the final experiments demonstrates efficiency of the algorithm.
Keywords
optimisation; scheduling; virtual enterprises; ant colony algorithm; data analysis; dynamic complex environment; optimization model; production scheduling problem; virtual enterprise; Ant colony optimization; Conference management; Costs; Dynamic scheduling; Environmental economics; Job shop scheduling; Power generation economics; Production systems; Scheduling algorithm; Virtual enterprises; ant colony algorithm; production scheduling; virtual enterprise;
fLanguage
English
Publisher
ieee
Conference_Titel
Optics Photonics and Energy Engineering (OPEE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5234-7
Type
conf
DOI
10.1109/OPEE.2010.5507953
Filename
5507953
Link To Document