Correcting Special Cause Variation

I. Identifying Special Cause Variation

1.) Create appropriate control chart of the total number of defective surgical screws based on the type of data you have using the flow diagram provided in the lecture (You ultimately want a control chart of defective or not, what kind of chart is this?). Interpret the chart. 2.) Is there special cause variation present in this process? Explain. 3.) Review the data in the original excel file to see if there was any notes taken that might explain why this special cause variation occurred. 4.) What would you recommend to We're All Screwed to prevent this special cause in the future?Recreate the control chart omitting any points of special cause variation you identified above.

Once the process is stable (why do we need a stable process first - take a moment to think about this), we can begin to analyze the main drivers of defects.

Correcting Common Cause Variation

1. Analyzing Problems
2. Create Pareto diagram of all the defect categories. Interpret the chart.
3. Which defects occur in the highest frequency?
4. Does it make sense from a process standpoint to combine any categories together? Create a new Pareto diagram with these categories combined. Interpret the chart.
5. If the frequencies of some categories of defects are combined, which two represent the highest percent of defects?
6. What would you recommend to We're All Screwed as their next steps for improving their process capability?

1. Professional Report
2. Write report with an appendix (control charts, pareto diagrams) for We're All Screwed's senior quality improvement staff summarizing your findings and recommendations from Part I and II. This is the only item from Part I and II that needs to be submitted on Canvas.
   1. A rubric has been provided below.

1. Group Presentation
2. a 10-15 minute professional PowerPoint presentation to We're All Screwed's senior quality improvement staff summarizing your findings and recommendations from Part I and II. Submit your slides on Canvas.