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Original Articles

Select better suppliers based on manufacturing precision for processes with multivariate data

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Pages 2961-2974 | Received 27 Apr 2007, Accepted 01 Oct 2007, Published online: 09 Apr 2009

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Read on this site (4)

Junliang Wang & Jie Zhang. (2016) Big data analytics for forecasting cycle time in semiconductor wafer fabrication system. International Journal of Production Research 54:23, pages 7231-7244.
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W. L. Pearn, Chia-Huang Wu & Ching-Ching Chuang. (2016) An effective powerful test for one-sided supplier selection problem with multiple independent characteristics. Quality Technology & Quantitative Management 13:2, pages 182-196.
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Mou-Yuan Liao, W.L. Pearn & Yen-Lun Liu. (2015) Assessing the actual Gamma process quality – a curve-fitting approach for modifying the non-normal flexible index. International Journal of Production Research 53:15, pages 4720-4734.
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Mou-Yuan Liao. (2015) Assessing process incapability when collecting data from multiple batches. International Journal of Production Research 53:7, pages 2041-2054.
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Articles from other publishers (7)

Moutushi Chatterjee. (2022) Multivariate supplier selection for asymmetric specification region: using price and quality. Annals of Operations Research 324:1-2, pages 1023-1040.
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Moutushi Chatterjee. (2022) Two‐phase multivariate supplier selection for symmetric specification region and correlated quality characteristics. Quality and Reliability Engineering International 38:7, pages 3291-3303.
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Yeneneh Tamirat Negash & Resty Kusumaningrum. (2019) Multiple Comparisons With the Best and Difference Test Statistic for Supplier Selection for Nonlinear Profiles. IEEE Access 7, pages 109411-109426.
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Min Zhang, G. Alan Wang, Shuguang He & Zhen He. (2014) Modified multivariate process capability index using principal component analysis. Chinese Journal of Mechanical Engineering 27:2, pages 249-259.
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W. L. PearnC. H. Wu. (2013) Supplier Selection for Processes with Multiple Characteristics Based on Testing Capability Index C pk . Journal of Testing and Evaluation 41:4, pages 20120112.
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W. L. Pearn, C. H. Wu & M. C. Tsai. (2012) A Note on “Capability Assessment for Processes with Multiple Characteristics: A Generalization of the Popular Index C pk ” . Quality and Reliability Engineering International 29:2, pages 159-163.
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İhsan Kaya & Cengiz Kahraman. (2010) A new perspective on fuzzy process capability indices: Robustness. Expert Systems with Applications 37:6, pages 4593-4600.
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