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Selecting a supplier by fuzzy evaluation of capability indices C pm
Authors:Tsai-Wai Chen  J Y Lin  K S Chen
Affiliation:(1) Department of Industrial Engineering and Management, National Chin-Yi Institute of Technology, Taichung, Taiwan;(2) Department of Mechanical Engineering, National Chung Hsing University, Taichung, Taiwan;(3) Department of Mechanical Engineering, National Chin-Yi Institute of Technology, No. 35, Lane 215, Section 1, Chung Shan Road, 411 Taiping, Taichung, Taiwan
Abstract:A process capability index Cpm that fits nominal-the-best type quality characteristics is an effective tool for assessing process capability since the index can adequately reflect a centring process capability and process yield. A valuable method using Cp estimators was developed by Chou 7] for practitioners to use to determine whether or not two processes have equal capability. However index Cp failed to measure process yield and process centring with bilateral specifications and in addition, more than two suppliers can be selected in an actual application. This study proposes a fuzzy inference method to select the best among the competing suppliers based on an estimated capability index of Cpm calculated from sampled data. This method has the advantages of fuzzy systems where a grade can be obtained instead of a more specific exact evaluation result. An illustrated example of colour STN displays demonstrates that the proposed method is effective and feasible for the evaluation of competing process capability.
Keywords:Process capability indices  Process centring  Confidence interval  Fuzzy evaluation
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