Analyzing data

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 values
Parameter 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.

  1. On the Analyze Data tab, enter the required parameter values.
    Analyze Data tab
  2. 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.