Quality Control Detail
The data model includes measures for Contenant Quantity and CU Quantité based on the Quality Control view, offering insights into the quantity of containers and unit of measure in the quality control detail dataset. This model focuses on analyzing and improving quality control processes.
Benefits of This Data Model
- Improved Quality Control Analysis: The data model allows for in-depth analysis of quality control processes, enabling better insights for enhancement.
- Enhanced Process Efficiency: By providing measures for Contenant Quantity and CU Quantité, the model aids in streamlining processes and optimizing resource allocation.
- Comprehensive Performance Evaluation: Offers a holistic view of performance metrics across different dimensions such as Product, Store, Quality Control, and more for thorough evaluation.
- Facilitated Decision-Making: With detailed dimensions like Product Family, Hazardous Material Class, and Quality Control Status, the model supports informed decision-making based on specific criteria.
- Increased Operational Visibility: Through dimensions like Site Code, Depositor Name, and Lot, the model enhances visibility into various operational aspects, promoting proactive management strategies.
Key Performance Indicators (KPIs)
- Contenant Quantity: This measure represents the quantity of containers in the quality control detail dataset.
- CU Quantité: This measure represents the quantity of the unit of measure in the quality control detail dataset.
Available Visualisations
| View Name | Description |
|---|---|
| Quality Control | Provides insights into the performance of quality control processes. |