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
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
- Download the scenario.
No internet connection is required, since the scenario is supplied with
the downloaded scenario into the ALX. GIS map will appear
content of the imported scenario.
- Click the Show
button in the GIS map view
toolbar. Paths will appear.
Run the Simulation scenario
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
current policy parameters:
- Click the Simulation
experiment item in the Experiments
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)
- Click the toolbar
the toolbar of the experiment's configuration page to run the experiment.
- 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.
- Examine the gathered statistics. You will see that the
expenses constitute $139,332,290.28 and we have
also lost 369 orders.
- Click the Data
item in the Experiments
- Proceed to the list of tables in the lower left part of ALX
layout and click the Inventory
Scroll down to the policy set for the DCs
group. We need adjust the parameters of this Min-max
the cell in the Policy Parameters
column of the DCs
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.
- 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
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.
Tutorial | Phase
2. Configure and run Variation experiment