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
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