Phase 1. Import Scenario and Run the Experiment
We shall start with obtaining the data that will serve as the
basis for our experiment. You may either provide your own data or you
can instantly import the scenario.
Either way, you should have a supply
chain scenario containing
- Distribution center(s)
located in the optimal places
- Properly configured sourcing and paths
- Vehicle type(s)
Download and import the
- Download the scenario.
No internet connection is required, since the scenario is supplied with
the downloaded scenario. The GIS map will appear showing the content of
the imported scenario.
- Explore the connections by clicking the Show filters
button to open the filter options, and then clicking
Show connections button.
The imported scenario contains a supply chain with 7 Nike
factory stores, two distribution centers, and Port
Let us observe the data the experiment will work with.
Primarily we are interested in the Paths
and the Sourcing
Observe the data of the
- Navigate to the Groups table. It contains groups of
customers per each DC, and a group of DCs. The groups of
customers are used in the sourcing policies. In this way we guarantee
that all customers will be visited, and no customer will be excluded
from the experiment. Click the Customers
column cells to see the list of customers for each DC:
- Berlin DC
Customers - contains factory stores serviced by the DC in Berlin, namely: Atlantic City - Factory Store, Jackson - Factory
Store, Gloucester - Converse Factory Store.
- Newark DC customers
- contains customers served by the DC in Newark, namely: Jersey Gardens - Factory Store,
Paramus - Factory Store,
Jersey Shore Premium Outlets
- Factory Store, Newark
- Factory Store.
- Move on to the Paths
table. It contains 1
record, allowing all connections between the objects of our supply
chain. If you need to edit this record, make sure that the resulting
record(s) (with Fixed
delivery cost or Distance
based cost calculation formulas only) allow a vehicle
to go from:
- Site to Customer
- Customer to Customer
- Customer to Site
- Now switch to the Sourcing
table. It contains three records, describing the sourcing of products
from supplier to DCs and from DCs to the customers:
- The first two records define source of
products for our customers. The Sources
column contains DCs which will be servicing customers that are defined
in the Delivery Destination
groups. The content of the groups can be seen in the Groups
table, which we have previously observed.
- The third record defines the source of products for our
Configure parameters of
the TO experiment
- Navigate to the experiments
section and click TO experiment.
You will be taken to the experiment's view
with its settings, where:
- Max customers in a route
- the required number of customers per route. The
default value is 10,
which is enough to cover all customers within 1 route, since we have
just 7 of them.
- Vehicle types
- the type of vehicle delivering the products. The selected here
vehicle type(s) must correspond to the vehicles defined in the Paths table.
- Travel segment limit
- the maximum remoteness of the network objects from each other in the
specified Distance unit.
- Returning segment limit
- the maximum remoteness of the last customer of the route to the DC
from which the vehicle set off.
Run in the toolbar of the TO
The results will be available in the Result
sub-item of the TO experiment
Let us analyze the received
the received results
- Navigate to the Optimization
tab below the experiment view.
The tab contains a table with 2 records, 1 per each DC.
The Destinations column
lists the customers in the order in which our vehicle visits them.
- Expand the record borders
to observe the order of the customers for each DC.
- Now click the first record.
GIS map will appear, showing a route comprising 4 customers, with Newark - Factory Store being the
first customer our vehicle visits on its way from the Newark DC.
experiment considers actual roads. The GIS
map, however, depicts the results with straight lines
- Now click the second record
to observe the second route on the GIS map. This time three
customers are visited, with
Gloucester Premium Outlets - Converse Factory
being the first customer our
vehicle visits on its way from the Berlin DC.
- Navigate to the Generated Paths tab of the
experiment results to observe transportation cost per route.
- For more details you can
navigate to the Generated Path Segments
tab, which contains details on segments of every route:
- Lines 1-5 describe the
visiting order and the cost of a route per segment for the DC in Newark.
- Lines 6-9 describe the visiting order and the cost of a
route per segment for the DC in Berlin.
That's it we
have completed the first phase of this tutorial. We imported the
scenario, created cost-efficient routes, and analyzed the cost of each
route. In the next phase we will export the results into a new SIM
scenario and observe them in the tables.
experiment Tutorial | Phase
2. Export result to a scenario