10-Attribute Charts-class

10-Attribute Charts-class - Edited by Foxit Reader...

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Attribute Control Charts UGA FDST 4090/6090 - (c) W.C. Hurst 2009 1 Attribute Control Charts William C. Hurst FDST 4090/6090 (2009) Use and Goals in Process Improvement Effort • Visual inspection of product/process to determine average quality level • Defect/defective product; not preventative • Qualitative (counting); acceptable vs. non- acceptable product when measured against FDST 4090/6090 © W.C. Hurst 2009 acceptable product when measured against standards Examples of Use FDST 4090/6090 © W.C. Hurst 2009 Sampling Frequency • Sampling should be often enough to prevent process from producing large numbers of defects/ defectives before process is changed FDST 4090/6090 © W.C. Hurst 2009 Why use ±3 σ (sigma) limits? • To minimize committing Type I error ADVANTAGES: FDST 4090/6090 © W.C. Hurst 2009 Benefits of Attribute Control Charts FDST 4090/6090 © W.C. Hurst 2009
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Attribute Control Charts UGA FDST 4090/6090 - (c) W.C. Hurst 2009 2 Attribute Types DEFECTIVE – DEFECT – FDST 4090/6090 © W.C. Hurst 2009 Sample Size • 50 to 2000 FDST 4090/6090 © W.C. Hurst 2009 Attribute Charts •p •np FDST 4090/6090 © W.C. Hurst 2009 •c •u p Chart – Fraction Defective 1. Use to count the proportion, fraction or percentage of defectives in a random sample drawn from a batch/lot/ population 2. Sample size FDST 4090/6090 © W.C. Hurst 2009 3. 4. 5. Control limits for p chart are based on the standard deviation of the binomial probability distribution p Chart Example: A small shrimp plant produces frozen breaded shrimp for retail distribution. One of the first steps in the processing line is de-veining raw shrimp before washing and breading.
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This note was uploaded on 06/15/2010 for the course FDST 4080 taught by Professor Pegg during the Spring '10 term at UGA.

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10-Attribute Charts-class - Edited by Foxit Reader...

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