NDLI: Capability measure for asymmetric tolerance non-normal processes applied to speaker driver manufacturing

Content Provider	Springer Nature Link
Author	Pearn, W.L. Wu, C.W. Wang, K.H.
Copyright Year	2004
Abstract	Process capability indices, Cp(u,v), including Cp, Cpk, Cpm, and Cpmk, have been proposed in the manufacturing industry to provide numerical measures on process potential and performance for normal processes. Earlier studies considered a class of flexible capability indices, called CNp(u,v), for processes with non-normal distributions where the tolerances are symmetric. In this paper we consider an extension of CNp(u,v), called C”Np(u,v), to handle non-normal processes with asymmetric tolerances. The extension takes into account the important property of the asymmetric loss function, which is shown to be more sensitive to process shift and more accurate than CNp(u,v) in measuring process capability, hence provides better manufacturing quality assurance. Comparisons between CNp(u,v) and the extension C”Np(u,v) are provided. We propose a sample percentile estimator, and apply the bootstrap method to find the lower confidence bound for testing manufacturing capability. We also develop an integrated S-PLUS program to calculate the percentile estimator and the corresponding lower confidence bound. As an illustration, the proposed approach is applied to capability testing of home-theater speaker systems.
Starting Page	506
Ending Page	515
Page Count	10
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	25
Issue Number	5-6
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2004-06-23
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Asymmetric tolerances Bootstrap method Lower confidence bound Non-normal processes Percentile estimator Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Industrial and Production Engineering Production/Logistics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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