標題: A note on Group Selection with multiple quality characteristics: power comparison of two methods
作者: Pearn, W. L.
Lin, Chen-ju
Chen, Y. H.
Huang, J. Y.
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: supplier selection;yield management;capability indices;multiple comparisons;Bonferroni adjustment
公開日期: 4-Mar-2019
摘要: The Group Selection problem is an essential problem in the supplier selection process. The objective of the problem is to select a subset of suppliers containing the best among multiple candidate suppliers. Manufacturers should procure parts from the selected suppliers to produce high-quality products. Lin, C.J., W.L. Pearn, J.Y. Huang, and Y.H. Chen [2017. "Group Selection for Processes with Multiple Quality Characteristics." Communications in Statistics - Theory and Methods. doi:] considered the problem under multiple quality characteristics, and proposed the Modified Bonferroni method and the Multiple Comparisons with the Best (MCB) method to tackle the problem. The two methods, however, may select different subset containing the best depending on the magnitude of the differences among the k estimated index values. In this paper, we derive the power function for the Modified Bonferroni method, and compare the power of the two methods with extensive simulations. The results show that the MCB method is more powerful than the Modified Bonferroni method when the actual number of the best process is one. On the other hand, the Modified Bonferroni method significantly outperforms the MCB method when the actual number of the best process is greater than one. The results provide practitioners with useful reference about the properties of the two methods for supplier selection.
URI: http://dx.doi.org/10.1080/00207543.2018.1476788
http://hdl.handle.net/11536/151612
ISSN: 0020-7543
DOI: 10.1080/00207543.2018.1476788
期刊: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume: 57
Issue: 5
起始頁: 1366
結束頁: 1370
Appears in Collections:Articles