Process Improvement Plan

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Process Improvement Plan
OPS 571
05/06/2013

Process Improvement Plan
In week one, the goal was to find time to work out with a full-time job and school. By looking at the bottle necks in my flow chart, one was able to find time to work out so one can lose weight. Every week, one would set up a schedule and put time to work out in that schedule. Each week, one tried to make time more efficient so that one was able to work, go to school, have extract time for activates, and have time to work out. The data collected over the weeks will show the statistical process that will interpret the data collected. This paper will illustrate the data taken from previous weeks to illustrate if one was more proficient or not. A chart below will state the hours it took to find time to working out | Wk 1| Wk 2| Wk 3| Wk 4| Wk 5| Wk 6| Daily Routine Time| Mon| 18.50| 17| 16| 16| 15| 15| 97.50|

Tues| 17| 16| 16| 15| 15| 15| 94|
Wed| 17| 17| 16| 17| 16| 15| 98|
Thur| 17| 17| 17| 16| 15| 14| 96|
Fri| 17| 17| 17| 16| 15| 14| 96|
Sat| 23| 17| 20| 17| 16| 15| 108|
Sun| 11| 15| 11| 13| 11| 10| 71|
TotalWith work out| 120.5Walking| 116 Mix cardio| 113 Before bed| 110During Lunch | 103After Work| 98Early Morning| 660.5|

Chart below shows the measurements of inches and weight loss. The goal was to lose seven pounds. | Wk. 1| Wk. 2| Wk. 3| Wk. 4| Wk. 5| Wk. 6|
Weight| 135| 133| 131| 130| 130| 128|
Chest| 32| 32| 32| 32| 32| 32|
Waist| 28| 28| 28| 27| 27| 27|
Hips| 39| 39| 39| 38| 38| 38|
Right Arm| 10| 10| 10| 9 1/2| 9 1/2| 9|
Left Arm| 11| 10 | 9 1/2| 9 1/2| 9| 9|
Right Leg| 20| 20| 19| 19| 19| 19|
Left Leg| 19| 19| 19| 19| 19| 18|

Statistical Process Control
One will use the statistical charts above to do the statistical process to monitor the quality and quantity of the time efficiency and weight loss to accomplish one’s goal and be more productive. As part of one’s goal, one would like to become a trainer and help others. If this was a business process, one would use statistical process control to determine that one’s job is performed correctly. Quality assurance and timing will be important and the statistic process control procedure will help analyses and improve times to be more efficient for one-self and clients. Control limits explained

By using a control chart, one will see infrequent event happen and its effects of captivating variation out of statistical control. One will use standard deviation each week the upper and lower limits levels of acceptance. Each week will vary. One has to consider outside factors like getting sick, special events, or distractions will skew the usual standard deviation and control limits. Below the charts will be listed with the mean and standard deviation of the time it took to manage time and weight. Calculations and data used to determine control limits

Week 1
| Wk1 # MUA| Mean Total/7B| Mu-MeanA-B =C| Mu-MeanC^2| Average 73.93/7| Standard Deviation10.56 | Work out| Look at Excel WK1 For Work out| M| 18.5| 17.21| 1.29| 1.65| | | MU =| 294|

T| 17| 17.21| -0.21| 0.05| | | Mean=| 36.75|
W| 17| 17.21| -0.21| 0.05| | | Mu-Mean| 0.00|
TH| 17| 17.21| -0.21| 0.05| | | Mu- Mean^2| 11731.50| F| 17| 17.21| -0.21| 0.05| | | Average| 1466.44|
Sat| 23| 17.21| 5.79| 33.47| | | Standard Deviation| 38.29| Sun| 11| 17.21| -6.21| 38.62| | | | |
Total| 120.5| 17.21| 0.00| 73.93| 10.56| 3.250| | |

Week 2
| Wk2 # MUA| Mean Total/7B| Mu-MeanA-B =C| Mu-MeanC^2| Average 3.71/7| Standard Deviation0.53| Work out| Look at Excel WK2 For Work out| M| 17| 16.57| 0.43| 0.18| | | MU =| 291|

T| 16| 16.57| -0.57| 0.33| | | Mean=| 36.38|
W| 17| 16.57| 0.43| 0.18| | | Mu-Mean| 0.00|
TH| 17| 16.57| 0.43| 0.18| |...
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