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Quality Control Chart _Variable Sampling

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If the quality control system has more than one quality variables it is not practical to maintain separate control charts for each variable An overall quality control and evaluation mechansim will be useful In this template the p chart method is used In each time unit hour day week etc daily production amount and number of defectice items are two of three inputs Then daily reject rates are evaulated by some statististical comparison techniques A statistics is derived from daily reject rate z value and if the statistics is greater than acceeptable limit it is concluded the process is out of control at this day and the reasons should be examined The main factor for determining the acceptable limit is the sigma policy of the company Before using the template it is required to enter the current policy of quality control department Then daily production amount number of defectives are entered day by day Finally you can see the quality performance of the

More Info
									QUALITY CON
σ Policy 2

Proportion of rejected Items: Upper Control Limit Lower Control Limit

Day 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

Sample Size 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100

# of Defectives 3 12 2 4 8 14 6 1 5 5 5 5 6 47 41 1 2 8 4 2 3 5 1 4 3 3 12 8 4 44

Daily Defect Rate 3.00% 12.00% 2.00% 4.00% 8.00% 14.00% 6.00% 1.00% 5.00% 5.00% 5.00% 5.00% 6.00% 47.00% 41.00% 1.00% 2.00% 8.00% 4.00% 2.00% 3.00% 5.00% 1.00% 4.00% 3.00% 3.00% 12.00% 8.00% 4.00% 44.00%

z - value -2.0802 1.0752 -2.4308 -1.7296 -0.3272 1.7764 -1.0284 -2.7814 -1.3790 -1.3790 -1.3790 -1.3790 -1.0284 13.3462 11.2426 -2.7814 -2.4308 -0.3272 -1.7296 -2.4308 -2.0802 -1.3790 -2.7814 -1.7296 -2.0802 -2.0802 1.0752 -0.3272 -1.7296 12.2944

Comment on the quality of the process
The process is out of control at this day The process is in control at this day The process is out of control at this day The process is in control at this day The process is in control at this day The process is in control at this day The process is in control at this day The process is out of control at this day The process is in control at this day The process is in control at this day The process is in control at this day The process is in control at this day The process is in control at this day The process is out of control at this day The process is out of control at this day The process is out of control at this day The process is out of control at this day The process is in control at this day The process is in control at this day The process is out of control at this day The process is out of control at this day The process is in control at this day The process is out of control at this day The process is in control at this day The process is out of control at this day The process is out of control at this day The process is in control at this day The process is in control at this day The process is in control at this day The process is out of control at this day

QUALITY CONTROL CHART (SAMPLING)
Proportion of rejected Items: Upper Control Limit Lower Control Limit 8.93% 2 -2

on the quality of the process
is out of control at this day is in control at this day is out of control at this day is in control at this day is in control at this day is in control at this day is in control at this day is out of control at this day is in control at this day is in control at this day is in control at this day is in control at this day is in control at this day is out of control at this day is out of control at this day is out of control at this day is out of control at this day is in control at this day is in control at this day is out of control at this day is out of control at this day is in control at this day is out of control at this day is in control at this day is out of control at this day is out of control at this day is in control at this day is in control at this day is in control at this day is out of control at this day

Alert

! !
16

Standardized z
14
12

10
8

!

6
4

2
0

-2
-4

!!!!!!!!!!!! !!!!!!!!!! ! !
0.5 0.45 0.4
0.35

Defective Rate Chart

! ! ! ! !

0.3 0.25 0.2
0.15

0.1 0.05 0

!!!!!!!!!!!

Standardized z-chart

UCL LCL

Defective Rate Chart

UCL

Data? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 -2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

TRUE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE FALSE TRUE FALSE TRUE TRUE FALSE FALSE FALSE TRUE

Proportion of rejected Items 1 8.93% 0 1 0 0 0 0 1 0 0 0 0 0 12 10 1 1 0 0 1 1 0 1 0 1 1 0 0 0 11 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93% 8.93%

8.93%

Follow the steps to enable your Quality Control Chart (Variable Samples).
>>

If the quality control system has more than one quality variables, it is not practical to maintain separate control charts for each varia evaluation mechansim will be useful. In this template, "the p chart" method is used. In each time unit (hour, day, week, etc.), daily p defectice items are two of three inputs. Then, daily reject rates are evaulated by some statististical comparison techniques. A statist (z value) and, if the statistics is greater than acceeptable limit, it is concluded the process is out of control at this day and the reason factor for determining the acceptable limit is the σ (sigma) policy of the company. Before using the template, it is required to enter control department. Then, daily production amount number of defectives are entered day by day. Finally, you can see the quality pe numerically, verbally and graphically. Your Quality Control Chart (Variable Samples) is ready to use. Following steps are for online use. Visit the site below: http://www.spreadsheetweb.com/getting_started.htm You will only need the username and password to create your Quality Control Chart (Variable Samples).

>> 1)

2)

Visit the site below: http://trial.spreadsheetweb.com/spreadsheetweb/ Login to page with your new account information.

3) >> >>

Click "Add Web Application" to upload this file. Your Quality Control Chart (Variable Samples) will be created automatically. You can simply use the Quality Control Chart (Variable Samples) from that link or place it on your website. Your Quality Control Chart (Variable Samples) will look like: http://www1.spreadsheetweb.com/SpreadSheetWeb/Output.aspx?ApplicationId=4bc78a74-5e82-4ef6-a5d5-8c20e7640bbe In order to see more online applications created with PSW you can check the link below: http://www.spreadsheetweb.com/demos.htm

Copyright (c) 2009 Pagos, Inc. http://www.pagos.com/

Samples).

e control charts for each variable. An overall quality control and hour, day, week, etc.), daily production amount and number of mparison techniques. A statistics is derived from daily reject rate rol at this day and the reasons should be examined. The main mplate, it is required to enter the current σ policy of quality ally, you can see the quality performance of the process

reated automatically.

6-a5d5-8c20e7640bbe


								
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