You can also use the GFA experiment as the BFA experiment (Brownfield analysis) to extend the existing properly functioning GFA scenario. Greenfield analysis in this case allows you to easily define:
- Where to place the required number of new sites
- Which site supplies this or that customer
The locations for the new sites will be found considering:
- The existing customers and sites
- Demand of the existing customers
- Connections of all the objects
Assume we have a properly operating supply chain, which we need to expand by adding new customers with demand that must be fulfilled.
- Add the required customers to the existing scenario.
- Add demand for the new customers.
- Navigate to the GFA experiment settings and define the required Number of sites that we want to add to our supply chain.
That's it. We do not need to set up anything else. The experiment will consider all the objects and their connections.
- Run the experiment.
The result of the experiment will define:
- Locations for the new sites
- New sourcing policies
If one (or more) of the old sites is too far or is hard to reach, it may be completely substituted by the new one(s).
Such sites will not be visible on the map in the results of the experiment, but they will be present in the supply chain data if you choose to convert the result to a new scenario.
If you choose to convert this result to a new GFA scenario:
- The substituted sites will be visible on the map
- Their Inclusion type will be set to Consider
- The Sourcing records containing such sites will be set to Exclude, i.e., no customer will be connected to them
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