Phase 2. Run Safety Stock Experiment and Examine Result

In the previous phase we imported the scenario and observed the service level in the statistics gathered by the Simulation experiment. In this phase we will:

Run the Safety stock estimation experiment
  1. Navigate to the Experiments section and select Safety stock estimation experiment. You will be taken to the experiment's view with its parameters. We are interested in the following parameters:

  2. Leave the default experiment settings and run the experiment by clicking RunExperiment execution will take some time. 
  3. Observe the final results. When the experiment is completed, you will be taken to the Result tab containing the results.

Let us analyze the received data.

Analyze the received results

  1. Navigate to the Safety Stock Estimation tab below the experiment view. The tab contains the Safety Stock in Product Units table, which shows the amount of products (per DC and per replication) that must be kept as safety stock.

  2. Filter the data by typing Amsterdam in the filter field below the Object column name. This will allow us to see the offered safety stock amount per replication for this DC.

    The actual safety stock is calculated as mean value, i.e. by adding the received safety stock amounts from each replication and dividing the resulting value by the number of replications (841.48 bicycles in case of Amsterdam). 

  3. Navigate to the DC Amsterdam tab below the Safety Stock Estimation tab. It contains a histogram, showing the amount of safety stock required in certain % of time. For example: safety stock of 820 bicycles is required in 20% of time.

  4. In the same way observe the offered data for DC Nijmegen and DC Rotterdam.

The received result can be converted to a new scenario that will be a complete copy of the existing scenario plus the adjusted inventory policies.

Export result to a scenario
  1. Right-click Result in the Safety stock estimation branch. A pop-up menu will open.

  2. Click Convert to SIM scenario option.
    A new Gazelle Factory SSE with safety sock scenario will be created. You will be instantly taken to it.

Supply chain of the new scenario must perform better, since it contains updated inventory policies. Let us observe the new policies and run the Simulation experiment.

Observe inventory policies
  1. Navigate to the Inventory table of the new Gazelle Factory SSE with safety stock scenario. As you can see it now contains 6 records. Let us take a closer look at the changes:

We have observed the updated data of the scenario, and we may now run the Simulation experiment to see if the changes have improved the service level.

Run the Simulation experiment and observe the result

  1. Navigate to the Simulation experiment and click the toolbar  Run in virtual time mode without animation button.
    The experiment will be completed within a few seconds.
  2. Now examine the gathered statistics. We can see that the amount of lost orders has decreased and the service level has increased.

    Let us change the data visualization type for the Service Level by Orders element to have a better understanding of the service level that we have reached.

  3. Click the Change settings button in the top-right corner of the Service Level by Orders element to open the Properties dialog box.

  4. Now click Table in the Preview section to have the data displayed in tabular form (in rows and columns).

  5. Click OK to close the dialog box and observe the service level.
    As you can see, the lowest service level is 0.98. That is exactly what we've aimed for.

In the same way you may estimate the safety stock amount for the Desired service level of 100%. 

With the last step we have successfully completed the Safety stock estimation experiment tutorial.



  Phase 1. Import scenario and check service level