Phase 1. Import Scenario and Examine Statistics

Let us start our tutorial with importing the scenario that we will be working with.

Download and import the scenario
  1. Download the scenario. No internet connection is required, since the scenario is supplied with ALX.
  2. Import the downloaded scenario into the ALX. GIS map will appear showing the content of the imported scenario.
  3. Click the Show Sourcing Paths button in the GIS map view toolbar. Paths will appear.

Now we have something to work with. You can navigate to the Simulation experiment (which was imported with the scenario) and run it to observe the delivery process and the gathered statistics.

Run the Simulation scenario

  1. Click the Simulation experiment item in the Experiments section.

    You will be taken to the Simulation experiment view with the current experiment's settings. You will see that the experiment is already configured (the statistics are defined and located in the dashboard)
  2. Click the toolbar   Run button in the toolbar of the experiment's configuration page to run the experiment.
  3. Increase the speed of the experiment by dragging the slider to the right to set the speed to max value. The experiment will be completed within a few seconds.

  4. Examine the gathered statistics. You will see that the expenses constitute $139,332,290.28 and we have also lost 369 orders.

We are not satisfied with the significant loss of orders, which occurs because of the inventory policy. We must reconfigure the inventory policy parameters to eliminate the loss of orders. This can be done either manually by running numerous what-if scenarios in the Simulation experiment or automatically by running the variation experiment. If you navigate to the inventory table, you will see the current policy parameters:
  1. Click the Data item in the Experiments section.
  2. Proceed to the list of tables in the lower left part of ALX layout and click the Inventory table. Scroll down to the policy set for the DCs group. We need adjust the parameters of this Min-max policy.

  3. Click the cell in the Policy Parameters column of the DCs policy. A pop-up dialog box will open, allowing you to edit the currently set Min and Max values. We are not sure yet what to substitute the values with.

  4. Click Cancel to close the dialog box.

We have examined the statistics and found the policy parameters that we will adjust. We may move on to configure the Variation experiment, which will help us find the optimal solution to eliminate product losses and reach the required service level.

Click the link below to proceed to Phase 2 of this tutorial.


  Variation experiment Tutorial | Phase 2. Configure and run Variation experiment