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Overdue Work Orders

The data model includes views analyzing overdue work orders, such as identifying top priority items requiring immediate attention, categorizing by equipment type, assigning to technicians, and tracking trends. Measures like Quantity Complete and Quantity Planned offer insights into completed and scheduled work orders within a specified timeframe, providing valuable operational efficiency metrics.

Benefits of This Data Model​

  • Improved Operational Efficiency: The data model allows for tracking completed and scheduled work orders, providing insights into operational efficiency metrics.
  • Enhanced Workload Management: By analyzing overdue work orders assigned to each technician, the model facilitates workload distribution and technician performance evaluation.
  • Prioritization of Urgent Tasks: Identification of the top priority overdue work orders helps in addressing critical issues promptly for effective operations.
  • Category-Based Analysis: Categorizing overdue work orders by equipment type or maintenance category enables targeted strategies for maintenance and resource allocation.

Key Performance Indicators (KPIs)​

  • Quantity Complete: The total number of work orders that have been completed within the specified time frame.
  • Quantity Planned: The total number of work orders that were scheduled to be completed within the specified time frame.

Available Visualizations​

View NameDescription
Overdue Work OrdersInsights on all work orders past the due date and potential impact on operations.
Top Overdue Work OrdersList of highest priority overdue work orders requiring immediate attention.
Overdue Work Orders by CategoryBreakdown of overdue work orders by equipment type or maintenance category.
Overdue Work Orders by TechnicianAnalysis of overdue work orders assigned to each technician for workload management.
Overdue Work Orders TrendTrend analysis showing the change in the number of overdue work orders over time.