Picking
The data model focuses on tracking and optimizing warehouse picking operations. It includes views such as Picking for orders awaiting picking, OrderDetails for detailed order information, PickingStats for monitoring efficiency, PickingTrends for predicting demand, and PickerPerformance for assessing picker accuracy and speed. Measures like Qty To Pick and Qty Shipped are used to manage inventory and fulfillment processes effectively, ensuring timely order processing and resource allocation.
Benefits of This Data Model
- Enhanced Warehouse Efficiency: The data model enables tracking and optimizing warehouse picking operations, leading to more efficient order fulfillment processes.
- Improved Performance Monitoring: PickingStats view provides valuable statistics on picking efficiency and turnaround time, facilitating better performance monitoring and assessment.
- Demand Forecasting: PickingTrends view helps in predicting future demand trends based on historical picking data, allowing for optimized resource allocation and inventory management.
- Individual Picker Evaluation: PickerPerformance view allows for assessing picker accuracy and speed metrics individually, aiding in identifying areas for improvement and training needs.
Key Performance Indicators (KPIs)
- Qty To Pick: The quantity of items that need to be picked from the warehouse for a particular order.
- Qty Shipped: The quantity of items that have been shipped to fulfill a specific order.
Available Visualizations
| View Name | Description |
|---|---|
| Picking | Shows orders awaiting picking for efficient warehouse operations. |
| OrderDetails | Displays detailed information on each order to optimize picking process. |
| PickingStats | Provides statistics on picking efficiency and turnaround time for performance monitoring. |
| PickingTrends | Highlights trends in picking data to predict future demand and optimize resources. |
| PickerPerformance | Evaluates individual picker performance based on accuracy and speed metrics. |