In this example, we will learn how to define settings and run a Transportation Optimization experiment to get milk runs — successions of destination points for product delivery. This will allow a truck to fetch orders for several destination points and follow the route per their specified index.
We consider the existing headphones supply chain in the USA comprising:
- Two warehouses in New York and Los Angeles
- 20 customers in the USA
- Maximum 10 customers per route
- The maximum distance between the customers — 2000 km
- The maximum length of the returning segment — 500 km
Reduce costs by forming a succession of destination points (customers) that will be served in a certain order considering only locations of sites and customers, and paths between them.
Before running the experiment, we need to make sure, that all restrictions will be fulfilled. To do that we need to check the values of the parameters in the experiment settings:
- The Max customers in a route parameter is set to 10.
- The Target segment limit parameter is set to 2000 km.
- The Returning segment limit parameter is set to 500 km.
The result of the experiment contains 3 optimal routes (1 from DC New York and 2 from DC Los Angeles). The data on generated paths, and segments of the paths (transportation costs, traveled distance) is shown in the corresponding tables.
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