Start the process of analyzing data to identify warranty issues.
On the Analyze Data tab, you must provide values for the
WARRANTY_RUNDATE and WARRANTY_SUBUSECASE parameters.
Table 1. Warranty parameter descriptions and valuesParameter name |
Description and values |
WARRANTY_RUNDATE |
The date up to which you want to process Warranty information. The date format is yyyy-MM-dd.
Tip: If you want to process information up to the most recent data that is available,
leave the parameter blank.
|
WARRANTY_SUBUSECASE |
- SALES
The Sales model identifies variations in product wear and replacement rates
according to the date of sale. The date of sale might correlate with in-service conditions, seasonal
climatic conditions, a particular customer, or other important similarities.
For example, a product carries a one-year warranty. In cold conditions, the product becomes
brittle and wears prematurely. In certain geographies, products that are sold and enter service in
winter initially suffer rapid wear, followed by slower wear during the latter part of the warranty
period. The opposite is true for products that are sold and enter service in summer. These seasonal
variations affect the product wear rates and weighted replacement rates, which are detected early by
QEWS.
- PROD
The Production model identifies variations in product wear and replacement rates
according to the production date of the product, not the resource in which the product is used. The
production date of the product might correlate with the manufacturing equipment operator, the
manufacturing process, or other important similarities.
For example, a faulty batch of products is produced during a particular period. The products are
installed in resources that have different manufacturing dates. Although the resource manufacturing
dates and the product production dates are unrelated, QEWS makes it easier to identify and
understand the real cause of the warranty claims.
- MFG
The Manufacturing model identifies variations in product wear and replacement rates
according to the manufacturing date of the resource in which the product is used. The resource
manufacturing date might correlate with assembly problems that occurred during a particular
period.
For example, due to a short-term problem with the manufacturing process of a resource, some of
the products that are used in the resource fail prematurely. Although the resource manufacturing
dates and the product production dates are unrelated, QEWS makes it easier to identify and
understand the real cause of the warranty claims.
|
- On the Analyze Data tab, enter the required parameter values.
- To run the analysis immediately, click Run now.
It takes several minutes to several hours to analyze the data. During
analysis, a progress window is displayed and the project is locked. Click Return to All
Projects to work with your other projects. It is possible to analyze multiple projects
simultaneously.