Evaluating Manufacturing Processes with a Novel Approach of Making Fuzzy Judgement

Abstract:

To monitor manufacturing processes with the inevitable fuzzy (imprecise) information, several extensions of the traditional Shewhart-type control charts have been proposed over the past few years. Among them, fuzzy and s charts have been recently developed with certain categorization rules which can discriminate conditions of a manufacturing process into four consequences, including in-control, rather in-control, rather out-of-control and out-of-control. However, weakness of the fuzzy-number evaluation for the classification rules has been found. Thus, in this paper, an improved fuzzy-number ranking approach for the fuzzy charts is proposed to provide more sufficient and justified classification results for monitoring the online manufacturing processes.

• Periodical: Applied Mechanics and Materials (Volume 470)
• Pages: 416-419
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.470.416
• Online since: December 2013
• Authors: Ming Hung Shu*, Jui Chan Huang, Thanh Lam Nguyen, Bi Min Hsu, Thanh Hien Lam
• Keywords: Fuzzy Control Chart, Fuzzy Judgement, Index of Optimism, Surface Roughness (SR)

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