DocumentCode
1958918
Title
Notice of Retraction
Research on path planning of materials supply of lean production based on the Dijkstra algorithm
Author
Du Yanwei
Author_Institution
Sch. of Mech. & Electron. Eng., Xi´an Technol. Univ., Xi´an, China
Volume
9
fYear
2010
fDate
9-11 July 2010
Firstpage
692
Lastpage
695
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.
According to the characteristics of the lean production model, the cost and the time are considered to be strictly controlled in the materials supply system. The path planning model is established to obtain the shortest path for the materials supply vehicles in the manufacturing enterprises. The Dijkstra algorithm is chosen to solve the model. The original path planning result and the dynamic path planning result are generated in accordance with the Dijkstra algorithm steps and the data provided by the geographical information system. Example shows that the path planning model is effective. The steps of this method and its application are described in detail.
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.
According to the characteristics of the lean production model, the cost and the time are considered to be strictly controlled in the materials supply system. The path planning model is established to obtain the shortest path for the materials supply vehicles in the manufacturing enterprises. The Dijkstra algorithm is chosen to solve the model. The original path planning result and the dynamic path planning result are generated in accordance with the Dijkstra algorithm steps and the data provided by the geographical information system. Example shows that the path planning model is effective. The steps of this method and its application are described in detail.
Keywords
geographic information systems; lean production; path planning; transportation; Dijkstra algorithm; dynamic path planning; geographical information system; lean production model; materials supply system; materials supply vehicles; path planning model; shortest path; geographical information system; materials supply system; path planning model; the Dijkstra algorithm; the shortest path;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5565082
Filename
5565082
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