If these variables cannot be controlled, then they need to be monitored.Ĭ) Start to record data for both set of variables. It is important to ensure that all other potential variables remain constant. How to create a Scatter Diagram.a) Identify the two variables which you want to investigate.ī) Setup a data collection process. The relationship between two variables can help point to “root cause” of problems, during a root cause analysis.īy performing multiple scatter diagram analysis, the existence of numerous effects from a single source cause can be identified. When applying process control charting, the scatter diagram can indicate the presence of an autocorrelation. The scatter diagram can simply and clearly demonstrate the effect, of any process change or process improvement activity. A scatter diagram analysis can be applied to verify a cause and effect relationship. Where can scatter diagrams be usefully applied?Scatter diagram analysis can be utilized:Īs part of a “cause and effect” analysis. The information gathered can now be plotted on a diagram and we may see a trend as follows. Run batches of product through the drilling process and record the smoothness achieved versus the drill speed. With the plan agreed, then proceed to perform the testing. The planned approach should be documented and agreed up front by all involved. It is important to ensure the materials used during the analysis are consistent and stable. An approach may be to perform a range of tests over a period of time, for example over different work shifts. Once all the variables have been identified, it will be important to either control these variables or monitor them during the scatter analysis.įollowing on from the review of the potential sources of variation, the next step will be to agree a test plan. The 6M’s normally applied in performing a “Cause and Effect”‘ can form a solid basis for the Brainstorm session. This may take the form of performing a “Brainstorm Analysis”, where individuals such as machine operators, support engineers, maintenance technicians, line supervisors, internal customers of the process, all suggest possible sources of variation within the drilling process. In preparing to create the scatter diagram, we will identify all potential variables associated with the process. Information | Understanding | Best Practice > Quality Management Tools and Techniques … drill speeds may range from “low” to “high” and “finish of cut” may span a range from “rough” to “very smooth”. For each variable there will be an expected range, i.e. For this example we might construct a graph of drill speed versus smoothness of cut. If it turns out that the smoothness of the final cut is related to the drill speed, the desired finish can be controlled by means of controlling the drill speed. We want to determine if the speed of the drill (drill speed) used in the process, impacts the smoothness of the final cut finish on a metal bar. Scatter diagram example.In the following example we are investigating and seeking to control the output from a process where there is a high speed drilling machine. Scatter diagrams are also known as Scatter Plots or X-Y Diagrams. The strength of the scatter diagram lies in simplicity, however, it is important that all other potential variables within a process are understood, controlled and monitored to ensure the results obtained from any experiments or interpretation of a diagram are not compromised. ![]() If a relationship is identified, then the possibility arises that one variable may be controlled by varying the other variable. Scatter diagrams can be utilized to analyze two variables to determine if there is any form of relationship between them. Information | Understanding | Best Practice.
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