DocumentCode :
3048407
Title :
Fuzzy AHP decision making method for insert grade selection
Author :
Shao, Chaocheng ; Yang, Weiqun
Author_Institution :
Dept. of Mech. Eng., Guangdong Vocational Coll. of Ind. & Commerce, Guangzhou, China
fYear :
2010
fDate :
20-23 June 2010
Firstpage :
2415
Lastpage :
2418
Abstract :
Recent developments in cutting tool materials of CNC maching have brought many exciting changes in the field of metal cutting . Machine operators can benefit from wider selection of insert grade in cutting process. On the other hand, selecting the optium insert grade from its increasing number of existing alternatives in workshop is multiple-criteria decision making (MCDM) problem in the presence of many quantitative and qualitative attributes. Therefore,in this paper, a fuzzy AHP (analytic hierarchy process) is used for machine tool selection problem. Due to the crisp pairwise comparison in the conventional AHP seems to be imprecise to capture the right judgments on vagueness and uncertainty machine tool selection decision-maker, fuzzy logic is introduced in the pairwise comparison of AHP to improve this conventional AHP deficiency. Finally a selected optium grade coincides with practical application in workshop.
Keywords :
computerised numerical control; cutting; cutting tools; decision making; fuzzy control; fuzzy set theory; machine tools; CNC machining; analytic hierarchy process; cutting tool materials; fuzzy AHP decision making method; fuzzy logic; insert grade selection; machine operators; machine tool selection; metal cutting; multiple-criteria decision making; pairwise comparison; Automation; Chaos; Cutting tools; Decision making; Fuzzy logic; Fuzzy set theory; Machine tools; Machining; Mechanical engineering; Uncertainty; Analytic hierarchy process; Fuzzy logic; Insert grade selection; Multiple-criteria decision making;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
Type :
conf
DOI :
10.1109/ICINFA.2010.5512283
Filename :
5512283
Link To Document :
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