DocumentCode :
2521675
Title :
Fuzzy Testing and Selecting the Better Manufacturing Process Using Loss-Based Capability Index
Author :
Hsu, B.M. ; Shu, M.H.
Author_Institution :
Dept. of Ind. Eng. & Manage., Cheng-Shiu Univ, Kaohsiung
Volume :
2
fYear :
2006
fDate :
Aug. 30 2006-Sept. 1 2006
Firstpage :
204
Lastpage :
208
Abstract :
The loss-based process capability index Cpm sometimes called the Taguchi index. In practice, Taghchi index is estimated using sample data, thus it is of interest to obtain confidence limits of estimate Cpm far assessing processes. Most of the traditional methods for measuring the manufacturing process capability are based on crisp estimates of Cpm wherein the output process measurements are precise. In the present study, we investigate the more realistic in general that the output of data from measurement of the quality of a product Is insufficiently precise. The fuzzy hypothesis testing on the fuzzy estimator of Cpm for finding process performance is proposed. We also considered the real-world problems in selecting the better manufacturing/supplier process from several available manufacturing/supplier processes
Keywords :
fuzzy set theory; manufacturing processes; process capability analysis; quality control; statistical process control; statistical testing; Taguchi index; crisp estimates; fuzzy testing; loss-based capability index; manufacturing process; output process measurement; supplier process; Engineering management; Fuzzy control; Fuzzy set theory; Fuzzy systems; Gaussian distribution; Industrial engineering; Manufacturing processes; Statistical analysis; Statistics; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
Type :
conf
DOI :
10.1109/ICICIC.2006.288
Filename :
1691963
Link To Document :
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