標題: An effective powerful test for one-sided supplier selection problem
作者: Pearn, W. L.
Hung, H. N.
Chuang, Y. S.
Su, R. H.
統計學研究所
工業工程與管理學系
Institute of Statistics
Department of Industrial Engineering and Management
關鍵字: supplier selection;process capability index;non-conformities
公開日期: 2011
摘要: In this paper, we consider the supplier selection problem, which deals with comparing two one-sided processes and selecting a better one that has a higher capability. We first review two existing approximation approaches, and an exact approach proposed which we refer to as the division method. We then develop a new exact approach called the subtraction method. We compare the two exact methods on the selection power. The results show that the proposed subtraction method is indeed more powerful than the division method. A two-phase selecting procedure is then developed based on the subtraction method for practical applications. Some computational results are tabulated for practitioners' convenience.
URI: http://hdl.handle.net/11536/25906
http://dx.doi.org/10.1080/00949655.2010.483475
ISSN: 0094-9655
DOI: 10.1080/00949655.2010.483475
期刊: JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
Volume: 81
Issue: 10
起始頁: 1313
結束頁: 1331
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