For TQM to be implemented, the right tools have to be used and we will look at the top 5 tools that can help you implement TQM.
Pareto Principle Tool
This is one of the most powerful TQM tools around. According to Pareto Principle, most of the errors encountered during production can be traced back to a few causes. It effectively means that 80% of production errors are caused by just 20% problems.
The tool is designed to allow the project manager to handle the 20% cause. If most of the attention is focused on the 20%, then the 80% will ultimately disappear by themselves. The 20% problems are mostly found in the machines or operator mistakes. To see if the principle has worked, a chart should be plotted before and after applying the principle. If the principle is applied well, then the graph will show the results which should be positive. This is better than focusing your resources on all the problems at once.
Control Charts
These are charts that indicate the evolution of things over time. The control charts are designed to have central line for the average, lower and upper line. The main aim of this tool is to see to it that all your production process lines are plotted along the central line of the chart. After the plot has been made and the graph shows that it is scattered, then the production process used is ineffective and will lead to negative results.
Flow Charts
Flow charts have the unique ability to allow you as the project manager to see how your production processes are flowing. Flow charts can be constructed with the help of a picture, words or any other visual medium that will present the data in a favorable way. Whilst using the flowchart, it is advised to make use of an arrow so that it will put to the next event in the production stage.
Scatter Plots
They have been used for TQM for a long time. They are designed in such a way that they are similar to line graph though the lines are absent in this case. The data points in this tool will show you how the data are connected and how the positive or negative data can affect the whole chart. If the plot is a straight line, then the processes are close and will eventually be effective.
Diagrams
Diagrams are useful TQM tools as they are able to analyze the distribution processes. This is made possible when cause and effect diagram is being utilized. The diagram is designed in such a way that the main cause and a lesser cause will all affect the production process and the extent to which the effect is. The required and desired effect will be the one that solves the problem.
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