# Provide examples of when you would use the seven basic tools of quality on an information technology These lines are determined from historical data. Pareto chart 80 — 20 Rule Pareto chart is named after Vilfredo Pareto. Pareto chart is having bars graphs and line graphs where individual factors are represented by a bar graph in descending order of their impact and the cumulative total is shown by a line graph. Run charts are often used in conjunction with Control charts. Once the root cause is determined, it could be handled with appropriate resolution and may help in damage control. For example, referring to diagram 6.

## 7 qc tools case study pdf

Control charts are very popular and vastly used in Quality Control Techniques, Six Sigma Control Phase and also plays an important role in defining process capability and variations in productions. Scatter diagram Scatter diagram or scatter plot is basically a statistical tool that depicts dependent variables on Y — Axis and Independent Variable on X — axis plotted as dots on their common intersection points. If the line in the chart were the number of defects found in your product through each quality activity, that would tell you that things were getting worse as your project progressed. Scatter diagrams show how two different types of data could relate to each other and show the progress of work. Helps to focus on causes that will have the greatest impact when solved. For example, referring to diagram 2. The variables can be positively or negatively related defined by the slope of equation derived from the scatter diagram. Pareto chart 80 — 20 Rule Pareto chart is named after Vilfredo Pareto. If we have historical data and current data, by using mathematical statistics of business intelligence, we could predict the future outcomes and a representation could be made using Run Charts.

Stronger the correlation, stronger the relationship will hold true. Scatter Diagram 1. The defects are scattered on the graph in such a way that it reflects when the number of tests passing goes up, fewer defects are found.

Figure 7. By looking at the chart above, you can see that there are a lot of data points which fall above and below the mean, but they are well within control limits. The right axis on the chart shows the cumulative percentage.

## Quality control tools and techniques

Flowcharts help us get a hold on the way we are working by showing us a picture of the whole process. Flow charts are good way to analyze where in the process could the problems occur. Pareto charts help us to figure out which problems need our attention right away. The right axis on the chart shows the cumulative percentage. We cannot assume if they were all critical. You can use a flowchart to show how the tasks in your project interrelate and what they depend on. Once the root cause is determined, it could be handled with appropriate resolution and may help in damage control. In Control Chart, data are plotted against time in X-axis. If the line in the chart were the number of defects found in your product through each quality activity, that would tell you that things were getting worse as your project progressed. Very purpose of scatter Diagram is to establish a relationship between problem overall effect and causes that are affecting. So in a Control Chart, there is a mean, a Lower control limit and an Upper control limit. Pareto Analysis is a statistical technique used in selection of a limited number of tasks that produce significant overall effect. Histogram A bar chart showing a distribution of variables over time, is called a Histogram.
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