Maufacturing Data

These graphs below were made from three different days of manufacturing. The data we are giving for these days covers 23hr of that day. With theses graphs we can see where and why the manufacturing for that day should have been stopped. We can do this by using Nelson’s eight rules to deiced if there is any major margins of error happening doing these manufacturing days. If any of these rules are broken the manufacturing should have been stopped for that day until the problem was solved. To not have a drop of in quality product.

Data From Day One

This task should have been halted according to Nelson Rules at the 12th hour because it breaks rule 5 of nelsons rules. From 7 to 12 it consecutively heads down 6 times. This is meaning the manufacturing can not be valid and most stop after the 6th point down. To not lead to a drop off in product.

## [1] 27.34787
## [1] 22.65213

Data From Day Two

This task should have been halted according to Nelson Rules at the second hour. It breaks rule two because lines two and four both fall above the red line at the same height. Which make it break one of Nelson’s rule so the manufacturing should be stooped there on the second day. So that there would be no more offsetting errors.

Data From Day Three

This graph does not break any of Nelson’s Rules. No points fall above the ucl and no points fall below the lcl. It does not break rule two with any cluster of points to one side. It does not break 3 all the points are spreed out pretty evenly.It does not break 4 which is 8 consecutive points on the same side of the center line. It does not break 6 because nowhere do 8 convective points descend or ascend. It also does not break rule 6,7, or 8. Therefor there is no place this task should have halted.

work cited

hhtps://ximera.osu.edu/qcstats/QC Stats/STAT QC-2050/main