Phase 2. Adjust Parameters and Compare Results

In the previous phase we imported the supply chain scenario, ran the experiment and analyzed the results. In this phase we will try to decrease the cost of running the supply chain by adjusting the experiment parameters.

Let us start with decreasing the number of shipments within the simulation period.

Decrease the number of shipments

  1. Navigate to the parameters of the Capacitated TO experiment.
  2. Set the Number of shipments to 2. We will have 1 shipment per month. 

  3. Click Run in the toolbar of the Capacitated TO experiment.

    The results will be available in the Result 2 sub-item of the Capacitated TO experiment tree branch.

Let us analyze and compare the received data.

Analyze the received results

  1. Navigate to the Optimization results tab below the experiment view. You will notice that the number of the offered routes has decreased. 
  2. Navigate to the Generated Paths table and filter the results per shipment (click the Shipment column title and drag it to the Grouping area).

  3. Observe the Solution Type column. As you see, we have 8 Direct shipments now instead of 2. Since the shipments were made on monthly basis, the customers were able to accumulate demand, which was sufficient for direct shipments.

  4. Calculate the sum of all the routes. In our case the total cost of the offered routes constitutes $501.633, which is less than the amount from the previous result.

The received results show that:

To simplify the comparison of the received results, we will add the Generated Paths table from each experiment run to the Comparison dashboard.

Add results from Result and Result 2 tabs to the Comparison dashboard

  1. Click the Add to comparison button in the top right corner of the Generated Paths table.

  2. A dialog box will open prompting you to specify the name for this dashboard element. This name will be depicted only in the Comparison tab. Name it Result 2 and click OK.

  3. In the same way add to comparison the Generated Paths table from the first experiment run. Name it Result.
  4. Navigate to the comparison dashboard by clicking Comparison below the result tabs.

  5. Now you can have both results before your eyes.

If required, the dashboards elements added to the Comparison dashboard can be rearranged.

Rearrange and resize the compared dashboard elements

  1. To rearrange the tables and adjust their sizes, switch to editing mode by right-clicking anywhere within the dashboard workspace and selecting Rearrange from the shortcut menu.

  2. Click the required dashboard element and drag it to the desired position.
  3. To resize the dashboard element drag the handle in its bottom-right corner.

Let us try to decrease the number of direct shipments as well as the overall number of routes by adjusting the minimum vehicle load ratio.

Adjust the minimum vehicle load ratio and run the experiment
  1. Navigate to the experiment parameters.
  2. Set the Min vehicle load ratio for direct shipments to 0.95.
    A customer will now have to order 38 m3 of products (40 m3 * 0.95) or more to have a direct shipment.

      

  3. Click Run in the toolbar of the Capacitated TO experiment.
    The results will be available in the Result 3 sub-item of the Capacitated TO experiment tree.

We expect the number of routes to decrease this time. Let us have a look at the results.

Analyze the received results
  1. Navigate to the Generated Paths table and filter the results per shipment. You will see that the overall number of routes increased.
  2. Observe the Solution Type column. The number of Direct shipments, however, decreased by 2.

  3. Add this table to comparison. Name it Result 3.
  4. Compare the transportation costs of Result 2 and Result 3. The new set of routes is more expensive. 

By comparing the results we complete the second phase of this tutorial. In this phase we decreased the number of shipments within the simulation period, increased the minimum vehicle load ratio for direct shipments, and compared the received results. In the third phase we will add a new vehicle type to the supply chain.


  Phase 1. Import scenario and run the experiment | Phase 3. Add new vehicle type