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Process Improvement Plan

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Process Improvement Plan
Christina Scott
OPS/571
March 19, 2012
Ray E. Mowery

Process Improvement Plan
In week one of this course, the students were asked by the instructor to select a process that the student performed on a daily basis. This student chose the task of driving to work. The student collected driving times for four weeks. This paper will cover the explanation of the control limits, including calculations and data used to determine them. The paper will discuss the effect of any seasonal factors as well as the confidence intervals and their usefulness based on the number of data points. The data for four weeks of driving to work is: | week one | | week two | | week three | | week four | Tuesday | | | 26.58 | | 37.27 | | 28.47 | Wednesday | 31.04 | | 30.37 | | 29.49 | | 33.4 | Thursday | 29.59 | | 28.2 | | 30.42 | | 27.53 | Friday | 29.52 | | 28.34 | | 32.18 | | 28.08 | Monday | | | 31.37 | | 29.52 | | 31.17 | | | | | | | | | MEAN | 30.141111 | | | | | | | STD DEV | 2.4752514 | | | | | | |

The average time to drive to work over the four weeks was 30 minutes and 14 seconds. This was calculated by collecting drive times for four weeks. This student collected for 18 days. The standard deviation for the process was 2.48 minutes. Using the formula tool in excel, the data collected for four weeks was used to calculate the standard deviation for the sample taken. A process improvement plan is a change in a specific process which can either remove or reduce the root cause of additional steps identified in a process. The student needs to determine if there are steps that can be eliminated or changed to reduce the time spent driving to work daily. A couple of factors that may affect the process design are traffic and weather.

Explanation of the Control Limits
“Process control is concerned

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