A production process operates with 0.5% nonconforming output. A sample of 50 units of product is taken randomly in every hour, and the number of nonconforming units is counted. If one or more nonconforming units are found, the process is stopped, and the quality control technician must search for the cause of nonconforming production. Evaluate the performance of this decision rule (i.e., The percentage of the samples that will stop the process to look for a cause.)
A production process operates with 0.5% nonconforming output. A sample of 50 units of product is taken randomly in every hour, and the number of nonconforming units is counted. If one or more nonconforming units are found, the process is stopped, and the quality control technician must search for the cause of nonconforming production. Evaluate the performance of this decision rule (i.e., The percentage of the samples that will stop the process to look for a cause.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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
Transcribed Image Text:A production process operates with 0.5% nonconforming output. A sample of 50 units of
product is taken randomly in every hour, and the number of nonconforming units is counted.
If one or more nonconforming units are found, the process is stopped, and the quality control
technician must search for the cause of nonconforming production. Evaluate the performance
of this decision rule (i.e., The percentage of the samples that will stop the process to look for
a cause.)
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