Data Harmonization
With its automatic data harmonization feature, CASQ-it WM consolidates all field return data from various formats into a unified standard. At the push of a button, you get a reliable database for:
- Plausibility checks
- Field data analyses
- Effectiveness evaluations
- Failure forecasts
Your predefined settings guide the import of purchased parts lists. Country-specific details, such as different date formats or foreign currencies, are automatically detected and standardized.
During the import process, CASQ-it WM checks the data for incompleteness and formatting errors. You decide whether to correct the affected data sets or reject them immediately.
Plausibility Analysis of Purchased Parts Lists
CASQ-it WM identifies unjustified warranty claims: Each data set is checked for plausibility and validity. You can immediately spot duplicate claims, incomplete or contradictory information, or field failures that fall outside the warranty period.
The powerful analysis tools in CASQ-it WM reliably detect irregularities within your purchased parts lists. To this end, the system dynamically combines your data in different variations. Using filters for:
- Countries
- Supplied plants
- Assembly region
- Engine type
- Chassis number
- Model year ...
Diagnosis and NTF Process
Diagnostic inspections — distinguishing between standard and stress testing — within the CASQ-it inspection modules support you in evaluating field returns. For potential initiation of a No-Trouble-Found (NTF) process, CASQ-it CMEA serves as a decision-making aid:
Here, all information about the affected part and possible root causes is readily available. Acting like a knowledge database, CASQ-it CMEA consolidates your experiences and provides the foundation for in-depth root cause analysis.
Trend Line Analysis
Since CASQ-it WM filters out implausible and unjustified warranty claims, you get a solid foundation for assessing your field quality. Failure trend line diagrams based on VDA 3.2 display the frequency of defects in individual products over a specific usage period or operational cycles, referencing the production date.
This supports active field monitoring and enables targeted root cause analysis, allowing you to implement effective corrective, adaptive and preventive actions.
Effectiveness Analyses and Forecasts
Effectiveness analyses provide long-term monitoring of the success of your corrective and preventive actions. This is highly flexible, allowing, for example, comparisons between different parts within a product family or between different model years. Additionally, forecasts offer insights into future field failures — enabling you to proactively manage spare parts supply.
Our Solution in Use
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Your Point of Contact
Would you like to find out more about our digital solution for quality management?
With his many years of experience, Guido Goldammer is your ideal point of contact for all questions about this topic.