Chief Operating Officer
The Chief Operating Officer (COO) dashboard for Sage X3 brings together production cost, delivery performance, and freight cost metrics to help you evaluate operational performance across the organization.
How to use the chief operating officer dashboard
- Measure production cost and freight costs against forecast to see where spending is off target.
- Compare delivery performance with return quantities by reason to see how fulfillment issues affect the business.
- Flag overtime labor, yield, and quality metrics to spot capacity or process problems.
Filters
Use the filtering panel at the top of the Chief Operating Officer dashboard to control which data is shown. The filters apply to all views and ensure the dashboard reflects the selections you choose.
Year: multiple values
Month: multiple values
Product: multiple values
Site: multiple values
Work Center: multiple values
Key performance indicators (KPIs)
The key performance indicators (KPIs) are displayed at the top of the dashboard. They show production cost, delivery performance, and freight cost measures, and update based on the filters you apply.
| KPI | What it measures |
|---|---|
| Production Cost | Contains measures such as Total Actual Cost, Total Forecast Cost, and Variance, showing how actual production spending compares with what was forecasted. |
| Delivery Performance | Contains measures such as % Quantity Delivered, % On-time, and OTIF %, showing how production output affects delivery performance. |
| Freight Costs | Contains measures such as Amount, Cost per Weight, Average Cost per Delivery, and Total Forecast Cost, showing the cost of shipping produced goods. |
Visual components
| View name | Type of view | What it shows |
|---|---|---|
| Production Actual vs Forecast Cost | Combination | Plots forecast and actual total cost by month alongside the cost variance and variance percentage. |
| Returns Quantity by Return Reason | Pie | Shows the quantity of returns broken down by return reason. |
| Manufacturing Overtime Labor | Combination | Tracks overtime labor used in production. Higher overtime can indicate process inefficiency or capacity constraints. It uses fields in the GL Transaction details data model based on the labor hour account codes defined in the global variables @@LaborRegular and @@LaborOvertime. Populate these global variables to use this KPI correctly. |
| Yield Trends | Combination | Plots total quantity, rejected quantity, and yield percentage by month to track production yield over time. |
| Top 5 Rejected Products by Quantity | Vertical Bar | Ranks the top 5 products by QC quantity rejected. |