Design and Construction of Six Sigma Tightened�Normal�Tightened Variables Sampling Scheme Indexed by Six Sigma Quality Levels
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 10
Abstract
Motorola developed the Six Sigma methodology in the mid-1980s as a result of recognizing that products with high first-pass yield rarely failed in use. Six Sigma aims to deliver quality products to the customers. It also intends to reduce output variation by predicting process results. Processes here would be measure, analyze, improve and control, Variation here means how much has the output deviated from the actual. This article proposes Six Sigma Tightened – Normal – Tightened Variables Sampling Schemes (SSTNTVSS (nT, nN; k)) where the quality characteristic follows a normal distribution. Tables are constructed for the selection of parameters of known standard deviation Six Sigma Tightened – Normal – Tightened Variables Sampling Schemes for a given Six Sigma acceptable quality level (SSAQL) and Six Sigma limiting quality level (SSLQL).
Authors and Affiliations
Dr. D Senthilkumar, B. Esha Raffie
Keywords
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- EP ID EP18989
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