Results of the TO Experiment

Results of the experiment contain a set of routes with the lowest expenses. The set includes only the routes that let a vehicle visit every customer serviced by a corresponding site by each specified vehicle type.

As for instance, if you have two DCs and two vehicle types, the experiment will perform 4 iterations one for each combination of a site and the specified vehicle type covering every customer defined in the Sourcing and Paths tables. As a result, 4 possible routes will be found that offer:

Properly configured delivery network
Optimized delivery costs (per route generated)

Note: Transport optimization experiment considers actual roads. The GIS map however, depicts the results with straight lines only.

The saved results can be exported to:

Existing SIM type experiment
MS Excel file (per tab only)

Results of the Transportation Optimization experiment

The results are available in the dashboard below the experiment's view in the form of statistics, distributed through the tabs on the left (each tab refers to a certain type of statistics). If required, you can rename, remove a tab, or export the content of the tab's statistics to MS Excel file.

By default the Optimization results tab is opened, however the detailed statistics (from the Custom table group) are available in the tabs below:

Optimization results - This tab is opened by default. It shows the result of the experiment with all the possible combinations that meet the predefined requirements in the experiment parameters:
- Source - the site the product is shipped from.
- Vehicle Type - the type of the vehicle delivering the products.
- Destinations - the customers expecting the products.
- Solution Type - the type of solution offered:
  - Optimal - the optimal solution in terms of costs and the data provided to the experiment.
  - Direct Shipments - the type of shipments made directly to a certain customer. Demand of this customer (within the Experiment duration period or within a custom period created if Shipments per period is set) exceeds the capacity of the vehicle type used to deliver the products. For example: one vehicle's capacity is 100 units, and the customer's demand is 230 units within this shipment period. We will have 2 direct shipments to this customer, i.e. two trucks will deliver 200 out of the demanded 230 product units. The rest of this customer's demand will be considered by the experiment to design the delivery network.
  - Terminated by User - experiment was not finished, User stopped experiment execution.
  - Out of time - experiment stopped because it ran out of time, allotted to it by the Optimization time limit per site, sec. parameter.
Generated Routes - Shows detailed statistics on the routes that were generated by the experiment.
Generated Route Segments - Shows detailed statistics on the segments of the generated routes that were created by the experiment.
Skipped Customers - Shows detailed statistics on the customers that were not included in the generated route(s).

To see experiment results

Run the experiment.
Once the experiment is completed, a new Result item will be created in the TO experiment branch.
Click Result to analyze the results.