DC placement
Which candidate DC should serve which customers?
One plant in Kansas City, four candidate DCs (Atlanta, Reno, Dallas and Chicago) and five customer regions spread across the US.
The question it answers
Where should distribution capacity go? Each candidate DC connects to a different pool of customers, so choosing sites is really choosing which customers sit close to stock and which sit far from it. This demo lays out that choice before any optimizer is involved.
What you’ll see
The plant, the four candidates and the customer regions on a map of the US, with lanes from each candidate to the regions it could serve. Click a node to see its record and lanes. This demo is structure only, so nothing runs.
What to change
- Click each candidate DC and compare the customer regions it can reach.
- Switch to NETWORK to see the same choice as a graph.
- Ask the assistant what an optimizer would need to know to make this decision, such as demand by region, freight rates and fixed costs.
Where it leads
The simplest way to choose a site from demand alone is a center of gravity analysis. To let an engine site several DCs from real demand points, open Greenfield · US.
Run DC placement
It opens in the Sandbox with sample data. No signup, no install.
Run it →Or see all eleven network demos.