NDLI: Manufacturing process performance evaluation for fuzzy data based on loss-based capability index

Content Provider	Springer Nature Link
Author	Shu, Ming Hung Wu, Hsien Chung
Copyright Year	2011
Abstract	Process capability indices have been introduced for measuring process reproduction capability of a manufacturing industry. The loss-based capability index $$C_{pm}$$ takes into account the degree of process targeting (centering), which essentially measures the process performance on the basis of average process loss. Generally, the underlying manufacturing process data are obtained from the output responses of continuous quantities, which are always assumed to be real numbers. However, in a practical situation, the data collected by output process measurements are often imprecise (fuzzy data). We propose a constructive methodology for obtaining the fuzzy estimate of $$C_{pm}$$ using fuzzy data, which is based on “resolution identity” in fuzzy sets theory. We propose four decision rules to judge the process condition by simultaneously introducing randomness and fuzziness. Finally, we present a sequence of testing steps for assessing manufacturing process performance using the critical value of $$C_{pm}$$ with fuzzy data and can be easily implemented in real situations.
Starting Page	89
Ending Page	99
Page Count	11
File Format	PDF
ISSN	14327643
Journal	Soft Computing
Volume Number	16
Issue Number	1
e-ISSN	14337479
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-05-27
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Loss-based capability index Fuzzy number Fuzzy inference Degree of optimism Optimization Control, Robotics, Mechatronics Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Computational Intelligence
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Software Geometry and Topology

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