![]() Box – represents the middle 50% values of the process data.The box plot can be interpreted as follows: It is constructed by placing the class intervals on the horizontal axis of a graph and the frequencies on the vertical axis.Ī box plot summarizes information about the shape, dispersion, center of process data and also helps spot outliers in the data. Six Sigma Cause and Effect Diagram / Fish Bone Diagram / Ishikawa DiagramĪ data display tool for numerical data that breaks down discrete observations into separate categories for the purpose of identifying the "vital few".Ī histogram is a graphical representation of numerical data. People: This category groups root causes related people and organizations.īelow is an example of a fishbone diagram created for capturing the root causes of High Turn Around Time (TAT). ![]() Method: This category groups root causes related to procedures, hand-offs, input-output issues.Measure: This category groups root causes related to the process measurement.Nature: This category groups root causes related to our work environment, market conditions, and regulatory issues.Material: This category groups root causes related to information and forms needed to execute the process.Machine: This category groups root causes related to tools used to execute the process.Typically the causes are captured under predetermined categories such as 6M’s or 5M’s and a P as given below: The causes generated in the brainstorming exercises by the team will depend on how closely the team is related to the problem. The causes for this effect or problem is generated through team brainstorming and are captured along the bones of the fish. Effect or the problem is analogously captured as the head of the fish and thus the name. This is a visual tool used to brainstorm the probable causes for a particular effect to occur. Pie charts show the relationship among quantities by dividing the whole pie (100%) into wedges or smaller percentages.Ĭause and Effect Diagram / Fish Bone Diagram / Ishikawa Diagram: The “pieces” represent proportions of count categories in the overall situation. It is constructed by placing the attribute values on the horizontal axis of a graph and the counts on the vertical axis.Ī pie chart is a graphical representation of attribute data. Continuous Data: Run Chart, Control ChartĪ bar diagram is a graphical representation of attribute data.Discrete Data: Run Charts, Control Chart.Variation Over Time can be defined for discrete and continuous data types as: Discrete Data: Bar Diagram, Pie Chart, Pareto Chart.Variation for a period of time can be defined for discrete and continuous data types as below: Process variation can be classified as Variation for a period of Time and Variation Over Time. Let us learn about a few Representation Tools that help us in analyzing the data and also representing them appropriately. Six Sigma DMAIC Process - Analyze Phase - Data Door Analysis Your Sample Six Sigma Certification Test Questions.Recommend International Six Sigma Institute To Friends.Shareable Digital Badge And Six Sigma Certifications Validation Registry (NEW).Our Official Recognition and Industry Clients.Your Blog (US Army Personnel Selected Six Sigma Institute).International Organization for Project Management (IO4PM).International DevOps Certification Academy.Register Your Six Sigma Certification Program.Certified Six Sigma Yellow Belt (CSSYB).Certified Six Sigma Deployment Leader (CSSDL).Certified Six Sigma Master Black Belt (CSSMBB).Certified Six Sigma Black Belt (CSSBB).Certified Six Sigma Green Belt (CSSGB).
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