1.) Explain how mean chart can help reduce variation in a widget diameter by fir

Question

1.) Explain how mean chart can help reduce variation in a widget diameter by first signaling the need for process adjustments and also by preventing adjustments when no (out of control) is given.???

2.) Please explain why (too little) variation appearing on a control chart need not to be a good sign??

3.) Explain Difference between roles of control charting and experimental design in modern process oriented quality assurance.????

4.) Explain one way in which scatter plot could potentially help one search for a physical cause of problem in a production process.????

Explanation / Answer

(1) In statistical quality control, the mean chart is a type of control chart used to monitor variables data when samples are collected at regular intervals from a applied processess.  Mean chart is only valid if the within sample variability is constant. Mean chart can help reduce variation in a widget diameter by first signaling the need for process adjustments by simply seeing the mean widget diameter variations within the whole process. It gives an idea of removing some assignable causes of variation to improve quality.

(2) If a data point falls outside the control limits, we assume that the process is probably out of control and that an investigation is warranted to find and eliminate the causes. Control chart concept is mainly linked to normal distribution with specified mean and standard deviation. In this regard, variation needs to be according to a specific distribution (like normal model).

(4) Scatter plot helps us identifying the assignable causes of variation in the process, when we identify a point outside control limits, it is an alarm that something is wrong with the process and we immediately check the see the process.

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