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Quality Technology & Quantitative Management Volume 13, 2016 - Issue 2: Process Capability Analysis
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Research Article

A Bayesian approach for group supplier selections based on the popular process-capability-index Cpk

Chin-Chieh WuInstitute of Statistics, National Chiao Tung University, Hsinchu, Taiwan;
,
Jyh-Jen Horng ShiauInstitute of Statistics, National Chiao Tung University, Hsinchu, Taiwan; Correspondence[email protected]
,
W. L. PearnDepartment of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan
&
Hui-Nien HungInstitute of Statistics, National Chiao Tung University, Hsinchu, Taiwan;
Pages 109-123 | Accepted 21 Mar 2016, Published online: 04 May 2016

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Shun Matsuura. (2023) Bayes estimator of process capability index C with a specified prior mean. Communications in Statistics - Theory and Methods 52:7, pages 2215-2227.
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Florence Leony & Chen-ju Lin. (2022) The PO bootstrap approach for comparing process incapability applied to non-normal process selection. Quality Technology & Quantitative Management 19:2, pages 215-233.
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André Felipe Henriques Librantz, Ivanir Costa, Mauro de Mesquita Spinola, Geraldo Cardoso de Oliveira Neto & Leandro Zerbinatti. (2021) Risk assessment in software supply chains using the Bayesian method. International Journal of Production Research 59:22, pages 6758-6775.
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Kuen-Suan Chen, Leanne Chung & Tsang-Chuan Chang. (2021) Developing a quality-based supplier selection model from the buying company perspective. Quality Technology & Quantitative Management 18:3, pages 267-284.
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Kuen-Suan Chen, Tsang-Chuan Chang & Yi-Yu Guo. (2020) Selecting an optimal contractor for production outsourcing: a case study of gear grinding. Journal of the Chinese Institute of Engineers 43:5, pages 415-424.
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Yu-jie Lan & Chen-ju Lin. (2019) An efficient subset selection method for supplier selection under multiple quality characteristics. Quality Technology & Quantitative Management 16:2, pages 231-241.
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Chen-Ju Lin, W. L. Pearn, J. Y. Huang & Y. H. Chen. (2018) Group selection for processes with multiple quality characteristics. Communications in Statistics - Theory and Methods 47:16, pages 3923-3934.
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