Title: Select better suppliers based on manufacturing precision for processes with multivariate data
Authors: Yen, C. H.
Pearn, W. L.
工業工程與管理學系
Department of Industrial Engineering and Management
Keywords: process capability;multiple quality characteristics;critical value
Issue Date: 2009
Abstract: Process capability indices have been widely used in the manufacturing industry for measuring process reproduction capability according to manufacturing specifications. Processes with univariate data have been investigated extensively, but are comparatively neglected for processes with multivariate data. Chou (Chou, Y.M., 1994. Selecting a better supplier by testing process capability indices. Quality Engineering, 6, 427-438) developed a procedure using univariate Cp to determine whether or not two processes are equally capable, which allows one to select the supplier with better quality. However, for processes with multiple characteristics, no methods are available for comparing two processes with multivariate data. In this paper, we consider the supplier selection problem based on manufacturing precision in which the processes involve multiple quality characteristics. We derive the distribution of the corresponding test statistic, and calculate critical values required for the comparison purpose. A real-world application is presented for justification.
URI: http://hdl.handle.net/11536/7806
http://dx.doi.org/10.1080/00207540701796985
ISSN: 0020-7543
DOI: 10.1080/00207540701796985
Journal: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume: 47
Issue: 11
Begin Page: 2961
End Page: 2974
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