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The three challenges faced with collecting accurate data in the quality control process is who should collect the data, when to collect the data, and
The three challenges faced with collecting accurate data in the quality control process is who should collect the data, when to collect the data, and how to collect the data. Employees who are familiar to the process should collect the data. Next is you need to collect the data as soon as possible. Two methods to collect data are one-change-at-a-time testing and a design of of experiments. A pro of the one-change-at-a-time testing is it provides you with useful informtion to see the factors that have the biggest impact on quality. A con of this method is if you stop your experiments too soon you will not identify the situations when changing one attribute to see the effect on another attribute. The design of experiments pro is that it helps you define in advance what experiments to perform in this process. You put yourself in a situation to catch many different attributes that work together to see how it affects your quality. I would prefer the design of experiments method because it is inexpensive, it helps you define your experiments in advance, and it lists you a following of steps to guide you in this process. what to reply to
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