# Process Improvement Plan

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Process Improvement Plan

Jennifer DeRosa

OPS/571

October 3, 2011
Tonya Webster PMP, CSM

Process Improvement Plan

Statistical Process Control is a technique that can be used to test output from a process. It is useful in determining how a process is currently being performed and if it can be improved upon (Chase, Jacobs, & Aquilano, 2006). As part of my week one assignment, I created a flowchart that detailed my weekday morning process. I chose this process because I wanted to find ways to reduce the amount of time it took me to get the kids off to school. By creating a flowchart, bottlenecks were identified as well as opportunities to maximize the limited amount of time I have to complete my morning routine.
This paper will again use the process identified in week one to complete a Statistical Process Control that can be used to verify my standard process is operating in a way that allows me to complete all of the tasks and affords me additional time. This paper will also outline the control limits of my morning process, the effects of any seasonal factors, and the confidence intervals involved.

Statistical Process Control Data was recorded for a period of two weeks on how long it took me to complete my morning routine and get my kids off to school. I tracked the minutes it took me to complete each step of my morning routine and used the totals from each day to calculate the mean. On average, the time it took me from the time I woke up to the time the kids were delivered to school was 150 minutes. The standard deviation is 10.54 minutes. [pic]

Control Limits It would be unreasonable for me to expect that I could complete this process – each day – with no variance in the completion time. This is why I created the control limits to serve as the minimum and maximum expected standard. The upper and lower control intervals…...

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