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Advanced Control charts - Coggle Diagram
Advanced Control charts
Common Control Chart Types
NP-Chart
Variation of P-Chart for constant sample size
U-Chart
Used for discrete data presented as a count of defects per unit
P-Chart
Tracks nonconforming units or defects
Used for discrete data presented as a percentage
I & MR Chart
Useful for slow production or difficult data collection
Used for individual data points, not subgroup means
X-bar & S Chart
Presents x-bar chart for mean and S chart for standard deviation
Similar to X-bar & R but for larger subgroup sizes
C-Chart
Variation of U-Chart for constant sample size, defects per sample
X-bar & R Chart
Used for continuous data
Presents x-bar chart for mean and R chart for range
Data is variable and can be grouped into subgroups
Initial Analysis
Interpret the control chart to see if there are any control failures
Create an I-MR chart for completed tasks
Hypothesis Testing
Interpret the test results to assess the performance of the help desk
Consider running a hypothesis test (2-Sample T test) to compare opened vs. closed tickets
Additional Analysis
Create an I-MR chart for unresolved tickets
Interpret the control chart to understand deviations and trends
Add a column for unresolved tickets at each hour
Key Insights
Interpretation of control chart results is crucial for identifying potential issues or improvements
Hypothesis tests provide statistical validation for process comparisons
Control charts help in monitoring process performance over time
Creating and Reading Control Charts in Minitab
X-Bar & R/S Charts
Interpretation of test results for control
Steps for creating in Minitab
I-MR Chart
Interpretation of test results for control
Steps for creating in Minitab
P-Chart
Interpretation of test results for control
Steps for creating in Minitab
Other Attribute Control Charts
NP-Chart, U-Chart, and C-Chart follow similar steps as P-Chart
Data Collection
Use a table to organize the data
Track incoming tickets and completed tickets per hour
Practice and Interpretation
Real-world scenarios for practice and interpretation
Importance of interpreting control charts for valid business decisions