Discussion about business statgrey

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Describe three recent situations in which you were directly affected by poor product or service quality. What might have been the cause and how might statistical quality control help eliminate these situations?

Statistical quality control monitors the consistency of processes used to manufacture a product as designed. The goal is to keep processes under control. No matter how good or bad the design, statistical quality control can ensure that the product is being manufactured as designed and intended. It is important to remember that statistical quality control will not improve a poorly designed product's reliability, but can be used to maintain the consistency of how the product is made.

Examples poor product or service quality include product delivered late, product not performing per specifications, poor after sales customer service.

The primary tool in controlling quality is the control chart, a graphical representation of certain descriptive statistics for specific quantitative measurements of the manufacturing process. These descriptive statistics are displayed in the control chart in comparison to their "in-control" sampling distributions.

The comparison detects any unusual variation in the manufacturing process, which could indicate a problem with the process. Several different descriptive statistics can be used in control charts, and there are several different types of control charts that can test for different causes.

In this unit you will learn how to create and interpret process control charts, control charts for variables, and control charts for attributes. Each of these charts is used to help managers monitor and maintain the quality of products and processes.

Reference no: EM13780767

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