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Phase 2. Export Result to a Scenario

In the previous phase we imported the supply chain scenario, ran the experiment and analyzed the results. In this phase we will export the results into a new SIM scenario and observe them in the tables.

The result of the Transportation optimization experiment can be exported only to an existing SIM type scenario that contains the same set of objects.

Let us start with preparing the destination scenario, to which we will import the results.

Convert TO scenario to SIM

  1. Right click the Nike TO scenario and select Create Copy as SIM.

    You will be taken to the SIM tab containing the just created copy.

Now we have a SIM scenario to import results to.

If you take a look at the tables of the new scenario, you will see that 14 tables acquired data from the TO scenario. This data is enough to run the Simulation experiment and analyze the statistics, but first we will add data from the TO experiment result.

Export TO result to the scenario

  1. Click the TO scenario type tab to return to the TO experiment results.

  2. Right-click Result 3 in the TO experiment branch to open a pop-up menu.

  3. Click Export to scenario.
    A dialog box will open, prompting you to specify the SIM scenario to export the data to.

  4. Select the Copy of NIKE TO scenario and click OK to close the dialog box.
    The result will be exported to the selected scenario.

Let us have a closer look at the destination scenario and the results that have been added to it.

Observe the updated scenario

  1. Click the SIM tab to navigate to the simulation scenario. You will see that the scenario now uses 15 tables. The results were added to the Milk Runs table.

  2. Navigate to the Milk Runs table. It contains two records, one per DC.

  3. Double-click the Destination column cell of the DC in Newark record.
    A dialog box will open. It contains a table with the customers ( Destination column) and the order (Index column) in which a vehicle from DC in Newark will visit them.

    If required you can edit the index of the customers to change the order in which they will be visited.

  4. In the same way observe the order in which the vehicle from the DC in Berlin will be visiting this DC's customers.

You can now run the Simulation experiment and analyze the gathered statistics.

Run Simulation experiment

  1. Navigate to the Experiments and click Simulation experiment.
  2. Click Run in the toolbar of the Simulation experiment.
    The GIS map will appear showing real-time simulation of our supply chain with vehicles (purple dots) delivering Nike shoes and apparel from distribution centers to the customers and from the supplier to the distribution centers.

    We can see types of visually distinguished routes on the GIS map. Here belong:

    • Milk run route belonging to the DC in Newark in the northern part of New Jersey.
    • Milk run route belonging to the DC in Berlin in the southern part of New Jersey.
    • Routes connecting DCs to the supplier.

That's it. We have completed the transportation optimization tutorial. In this phase we exported the result of the TO experiment to a new SIM scenario, analyzed the acquired data, and observed real-time simulation of the offered routes. You may now proceed designing your supply chain by adding more data to the scenario and analyzing the gathered statistics.

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