Greenfield analysis is used to find optimal number of distribution centers as well as for defining the approximate locations for the supply chain sites taking into account the following data:
- Locations of the customers / distribution centers
- List of products
- Aggregated demand for each customer and product
- Direct distance between customers and distribution center or number of facilities we need to find
The Sourcing table is not obligatory for the solver in this experiment (as opposed to other experiments). The sourcing policies will be generated by the experiment based on the input data. The policies the table contains (if defined) will be considered by the solver in addition to the default input.
If it is required to omit certain object(s) from the solver's task, simply set its Inclusion Type to Exclude in the table corresponding to the required object's type.
Since the GFA experiment does not take into account roads, cities, means of transportation etc. it may suggest putting distribution centers on top of a mountain or in a sea. If you want the experiment to consider roads, run the GFA with roads experiment.
You can also use it as the Brownfield analysis to extend the existing properly functioning GFA scenario.
To create an experiment you need to previously create at least one scenario.
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