DocumentCode :
1647952
Title :
Notice of Retraction
Research on the manufacturing equipment selection based on analytic hierarchy process and fuzzy theory
Author :
Du Yanwei ; Zhi Yuping
Author_Institution :
Sch. of Mech. & Electron. Eng., Xi´ an Technol. Univ., Xi´an, China
Volume :
3
fYear :
2010
Firstpage :
661
Lastpage :
664
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 evaluation indicators on the manufacturing equipment selection ware analyzed from the four major aspects of the equipment flexibility, the technical performance, the economy and the environment. The Hierarchical structure model was established for the selection of equipment based on analytic hierarchy process. The weight of each index was calculated by calculating the experts´ judgment matrix. The options on the selection of manufacturing equipment ware evaluated based on fuzzy comprehensive evaluation theory to select the best equipment. The effectiveness of the method was verified by example. The steps of this method and its application in the equipment selection ware described in detail.
Keywords :
decision making; equipment selection; fuzzy set theory; manufacturing systems; matrix algebra; analytic hierarchy process; evaluation indicator; fuzzy theory; hierarchical structure model; judgment matrix; manufacturing equipment selection; Analytical models; Biological system modeling; Manufacturing; Safety; analytic hierarchy process; equipment selection; evaluating model; fuzzy theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6931-4
Type :
conf
DOI :
10.1109/ICAMS.2010.5552877
Filename :
5552877
Link To Document :
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