Guide to Quality Control"The explanations of QC techniques and the practice problems which appeared in the magazine Quality control at the factory, during 1967, have been brought together in this book.". |
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Page 42
... cent defective Per cent defective of total defectives Caulking 198 9.1 % 47.6 Fitting 25 1.2 % 6.0 Connecting 103 4.8 % 24.8 Torque 18 0.8 % 4.3 Gapping 72 3.3 % 17.3 Total 416 19.2 % 100 Table 5.1 gives data on defectives from a ...
... cent defective Per cent defective of total defectives Caulking 198 9.1 % 47.6 Fitting 25 1.2 % 6.0 Connecting 103 4.8 % 24.8 Torque 18 0.8 % 4.3 Gapping 72 3.3 % 17.3 Total 416 19.2 % 100 Table 5.1 gives data on defectives from a ...
Page 125
... defective running from 0 per cent to 100 per cent . The lot per cent defective is shown on the horizontal axis and the lot acceptance probability is shown on the vertical axis ( see figure 12.4 ) . Probability lot acceptance 1.0 0.9 n ...
... defective running from 0 per cent to 100 per cent . The lot per cent defective is shown on the horizontal axis and the lot acceptance probability is shown on the vertical axis ( see figure 12.4 ) . Probability lot acceptance 1.0 0.9 n ...
Page 184
... cent defective , it will be much easier to reach the target you have set . iii ) When numerous defective items are found , figure out how to deter- mine the items to concentrate on , and how to stratify before finally analyzing the data ...
... cent defective , it will be much easier to reach the target you have set . iii ) When numerous defective items are found , figure out how to deter- mine the items to concentrate on , and how to stratify before finally analyzing the data ...
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Common terms and phrases
abnormality Ac Re Ac action bar graph Base panel breaks basis binomial probability paper cause cause-and-effect diagram central line chapter check sheet collecting data Condenser control limit lines control lines correlation data sheet defective items determine dispersion Electronics subsidiary example factory fraction defective frequency distribution table HH HH HH histogram Improper rotation Improper torque improvement increments inspection level Kaoru Ishikawa line graph Lower control limit machine mean value measurement median line method moisture content normal inspection number of defectives number of points obtained P₁ Pareto diagram pie charts Pilot lamp plot pn chart Poor caulking production process Purchasing section QC Circle quality control random sampling relationship scatter diagram shown in figure shows single sampling inspection Six-spool trimmer Step stratified Sub-group number total number Upper control limit Vacuum tube vertical axis wobble workers x-R control charts