Warranty Analysis Folios
Warranty claims data typically consist of quantities of units sold and quantities returned within a specified warranty period. The Weibull++ warranty analysis folio is designed to convert your existing warranty claims data sets into failure/suspension data sets, so that they can be easily analyzed with traditional life data analysis methods. In addition, the folio gives you the ability to predict future warranty returns in order to detect and correct potential product quality problems in the field, as well as plan for warranty fulfillment needs such as repair costs and the number of spares to stock.
The ReliaWiki resource portal has more information on warranty analysis at: http://www.reliawiki.org/index.php/Warranty_Data_Analysis.
- Warranty Analysis Folio Setup
- Warranty analysis folio formats:
- Nevada Chart Format
- Times-to-Failure Format
- Dates of Failure Format
- Usage Format
- If you keep track of the period in which each returned unit was sold and the period in which it was returned, you can use the Nevada chart format to convert your warranty claims data into failure/suspension data.
- If your warranty claims data are already in terms of failure/suspension times, you can use the times-to-failure format to forecast future warranty returns.
- If you keep track of the exact calendar dates for sales and returns, you can use the dates of failure format to convert your warranty claims data into failure/suspension data.
- In the usage format, the analysis is based on the amount of usage the unit accumulated rather than the amount of time the unit was in the field. There are many applications where usage, not time, affects a product’s reliability. In the automotive industry, for example, the majority of failure behavior is based on mileage rather than product age. This approach could also be used in other situations, such as the number of pages for a printer, number of cycles for a washing machine, etc.
- Forecast Warranty Returns
- Warranty Analysis Plot Settings
- Manage Warranty Units in Weibull++