In “Case 71: Statistical visual data can be useful in troubleshooting—Part 1,” the editorial focused on how taking data and analyzing it could determine the cause for high reject rates...
In “Case 71: Statistical visual data can be useful in troubleshooting—Part 1,” the editorial focused on how taking data and analyzing it could determine the cause for high reject rates. Poor fixture maintenance and torque control were major contributors.
Let’s assume that the facility’s management would not allow the production line to shut down for data collection. Only the drawing details were available to the engineers. These drawings were of the clamping fixture holding the part, which was essentially a screw–wedge arrangement. In this case, analytical modeling would be useful for determining possible root causes. This approach would allow the maintenance
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