Warranty Data Analysis Dates Format Example: Difference between revisions

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'''Dates of Failure Warranty Analysis'''
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Assume that a company has the following information for a product.  
<br>
 
Assume a company has the following information for a product.  


'''Sales'''
{| | border="1" class="wikitable" style="margin: 1em auto 1em auto"
{| | border="1" class="wikitable" style="margin: 1em auto 1em auto"
|+ '''Sales'''
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| align="center" style="background:#f0f0f0;"|'''Quantity In-Service'''
| align="center" style="background:#f0f0f0;"|'''Quantity In-Service'''
| align="center" style="background:#f0f0f0;"|'''Date In-Service'''
| align="center" style="background:#f0f0f0;"|'''Date In-Service'''
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'''Returns'''
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|+ '''Returns'''
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| align="center" style="background:#f0f0f0;"|'''Quantity Returned'''
| align="center" style="background:#f0f0f0;"|'''Quantity Returned'''
| align="center" style="background:#f0f0f0;"|'''Date of Return'''
| align="center" style="background:#f0f0f0;"|'''Date of Return'''
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'''Future Sales'''
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{| | border="1" class="wikitable" style="margin: 1em auto 1em auto"
| align="center" style="background:#f0f0f0;"|'''Quantity In-Service'''
| align="center" style="background:#f0f0f0;"|'''Quantity In-Service'''
| align="center" style="background:#f0f0f0;"|'''Date In-Service'''
| align="center" style="background:#f0f0f0;"|'''Date In-Service'''
|+ '''Future Sales'''
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| 5000||9/1/2011
| 5000||9/1/2011
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Using the above information, we want to estimate the failure distribution of this product and forecast warranty returns.   
Using the given information to estimate the failure distribution of the product and forecast warranty returns.   
 


'''Solution'''
'''Solution'''


'''Step 1:''' The data can be entered into a warranty folio with the dates-of-failure format, as shown in the figures below.
Create a warranty analysis folio using the dates of failure format. Enter the data from the tables in the '''Sales''', '''Returns''' and '''Future Sales''' sheets. On the control panel, click the '''Auto-Set''' button to automatically set the end date to the last day the warranty data were collected (September 14, 2011). Analyze the data using the 2P-Weibull distribution and RRX analysis method. The parameters are estimated to be beta = 1.315379 and eta = 102,381.486165.  


[[image:Warranty Dates Format Sales.png|thumb|center|400px]]


[[image:Warranty Dates Format Returns.png|thumb|center|400px]]
The warranty folio automatically converts the warranty data into a format that can be used in a Weibull++ standard folio. To see this result, click anywhere within the '''Analysis Summary''' area of the control panel to open a report, as shown next (showing only the first 35 rows of data). In this example, rows 23 to 60 show the time-to-failure data that resulted from the conversion.


[[image:Warranty Dates Format Future Sales.png|thumb|center|400px]]


[[image:Warranty Dates Format Summary.png|thumb|center|400px]]


'''Step 2:''' Set the calculation setting as shown next:


[[image:Warranty Dates Format Calculation Settings.png|thumb|center|400px]]
To generate a forecast, click the '''Forecast''' icon on the control panel. In the Forecast Setup window, set the forecast to start on '''September 2011''' and set the number of forecast periods to '''6'''. Set the increment (length of each period) to '''1 Month''', as shown next.


Make sure the End of Observation Period is 8/14/2011.
[[image:Warranty Dates Format Forecast Window.png|thumb|center|400px]]
 
'''Step 3:''' After you click the '''Calculate''' Button, you will get the results shown in the '''Analysis Summary''' area in the above figure. You can also click anywhere inside the '''Analysis Summary''' area to view more results.


[[image:Warranty Dates Format Summary.png|thumb|center|400px]]


In the bottom part of the above figure, you can see the warranty data is converted to a format that can be used in a Weibull++ standard folio. 
Click '''OK'''. A Forecast sheet will be created, with the predicted future returns. Note that the first forecast will start on September 15, 2011 because the end of observation period was set to September 14, 2011.
 
'''Step 4:''' Click on the '''Forecast''' button [[image: Warranty Dates Format Forecast button.png]] to get the following forecast window.
 
[[image:Warranty Dates Format Forecast Window.png|thumb|center|400px]]


Click '''OK''' to get the forecast return for the future months. Please remember, the current time was set to 8/14/2011.


'''Step 5:''' Click the '''Plot''' icon and choose the Expected Failures plot. The predicted number of returns for each month was plotted.
Click the '''Plot''' icon and choose the '''Expected Failures''' plot. The plot displays the predicted number of returns for each month, as shown next.


[[image:Warranty Dates Format Predicted Failures Plot.png|thumb|center|400px]]


The remaining plots in the '''Plot Type''' drop-down list are the same plots in the Webull++ standard folio.
[[image:Warranty Dates Format Predicted Failures Plot.png|thumb|center|500px]]

Revision as of 10:10, 24 July 2012

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Dates of Failure Warranty Analysis

Assume that a company has the following information for a product.


Sales
Quantity In-Service Date In-Service
6316 1/1/2010
8447 2/1/2010
5892 3/1/2010
596 4/1/2010
996 5/1/2010
8977 6/1/2010
2578 7/1/2010
8318 8/1/2010
2667 9/1/2010
7452 10/1/2010
1533 11/1/2010
9393 12/1/2010
1966 1/1/2011
8960 2/1/2011
6341 3/1/2011
4005 4/1/2011
3784 5/1/2011
5426 6/1/2011
4958 7/1/2011
6981 8/1/2011


Returns
Quantity Returned Date of Return Date In-Service
2 10/29/2010 10/1/2010
1 11/13/2010 10/1/2010
2 3/15/2011 10/1/2010
5 4/10/2011 10/1/2010
1 11/13/2010 11/1/2010
2 2/19/2011 11/1/2010
1 3/11/2011 11/1/2010
2 5/18/2011 11/1/2010
1 1/9/2011 12/1/2010
2 2/13/2011 12/1/2010
1 3/2/2011 12/1/2010
1 6/7/2011 12/1/2010
1 4/28/2011 1/1/2011
2 6/15/2011 1/1/2011
3 7/15/2011 1/1/2011
1 8/10/2011 2/1/2011
1 8/12/2011 2/1/2011
1 8/14/2011 2/1/2011


Quantity In-Service Date In-Service
Future Sales
5000 9/1/2011
5000 10/1/2011
5000 11/1/2011
5000 12/1/2011
5000 1/1/2012


Using the given information to estimate the failure distribution of the product and forecast warranty returns.


Solution

Create a warranty analysis folio using the dates of failure format. Enter the data from the tables in the Sales, Returns and Future Sales sheets. On the control panel, click the Auto-Set button to automatically set the end date to the last day the warranty data were collected (September 14, 2011). Analyze the data using the 2P-Weibull distribution and RRX analysis method. The parameters are estimated to be beta = 1.315379 and eta = 102,381.486165.


The warranty folio automatically converts the warranty data into a format that can be used in a Weibull++ standard folio. To see this result, click anywhere within the Analysis Summary area of the control panel to open a report, as shown next (showing only the first 35 rows of data). In this example, rows 23 to 60 show the time-to-failure data that resulted from the conversion.


Warranty Dates Format Summary.png


To generate a forecast, click the Forecast icon on the control panel. In the Forecast Setup window, set the forecast to start on September 2011 and set the number of forecast periods to 6. Set the increment (length of each period) to 1 Month, as shown next.


Warranty Dates Format Forecast Window.png


Click OK. A Forecast sheet will be created, with the predicted future returns. Note that the first forecast will start on September 15, 2011 because the end of observation period was set to September 14, 2011.


Click the Plot icon and choose the Expected Failures plot. The plot displays the predicted number of returns for each month, as shown next.


Warranty Dates Format Predicted Failures Plot.png
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