Find optimal facility locations by calculating the center of gravity based on demand distribution and weighting factors.
Overview
The Center of Gravity (CoG) tool helps you determine the optimal location for facilities by analyzing the geographic distribution of your demand points. It calculates the weighted center point that minimizes transportation costs and maximizes service efficiency.
How to Access
Navigate to your project's map view
Click on the "Tools" tab in the right-side toolbar
Select "Center of Gravity" from the available tools
The CoG configuration panel will appear
Tool Selection
The Tools tab showing available map analysis tools
Configuration Options
Number of Facilities
Specify how many facility locations you want to calculate:
Enter the desired number of facilities (e.g., 1, 3, 5)
The tool will calculate optimal locations for each facility
More facilities may provide better coverage but higher costs
Number of Facilities
Input field for specifying the number of facilities to calculate
Weighting Configuration
The CoG calculation uses your dataset's weighting field to determine the importance of each demand point:
Points with higher weights have more influence on the center calculation
Common weighting fields include volume, value, frequency, or demand
If no weighting is specified, all points are treated equally
Running the Analysis
Ensure you have a dataset selected with geographic coordinates
Configure the number of facilities you want to calculate
Click the "Calculate Center of Gravity" button
The tool will process your data and display results
Calculate Button
The calculate button to run the Center of Gravity analysis
Understanding Results
Facility Locations
The tool displays optimal facility locations on the map:
Each facility is marked with a distinct icon and color
Facilities are numbered (1, 2, 3, etc.) for easy identification
Click on a facility marker to view detailed information
Center of Gravity Analysis Example
This interactive example shows how the Center of Gravity tool works in practice. You can see demand points (blue circles) connected to the optimal facility location (orange factory icon) with connecting lines showing the assignment relationships.
Loading map...
Best Practices
Data Preparation
Ensure your dataset has accurate geographic coordinates
Use meaningful weighting fields that reflect actual demand or importance
Consider filtering out outliers that might skew the results
Verify that your coordinate system is consistent across all data points
Analysis Considerations
Start with fewer facilities and gradually increase to find the optimal balance
Compare results with different weighting configurations
Consider real-world constraints like existing infrastructure or zoning
Use the analytics to validate that results make business sense
Interpreting Results
Lower total distance indicates better overall efficiency
Higher coverage percentages mean better service accessibility
Consider both distance and cost metrics when making decisions
Use the results as a starting point for further analysis and planning
💡 Pro Tip
The Center of Gravity tool provides a mathematical optimum, but real-world factors like road networks, existing facilities, and business constraints should also be considered in your final decision-making process.
Use Cases
Warehouse Placement: Find optimal locations for distribution centers
Service Centers: Determine best locations for customer service facilities
Retail Locations: Identify prime spots for new store openings
Emergency Services: Optimize placement of fire stations or hospitals
Supply Chain: Plan manufacturing or processing facility locations