ATO Beer
Delivery
Problem
Definition
The beer supplier is set a task to
optimize the delivery of goods to its customers.
The supply chain comprises:
- 1 distribution center
- 50 customers
There are two vehicle types in the fleet of the distribution
center:
Type |
Capacity, pallets |
Cost, USD (per km) |
Amount |
Truck |
15 |
6 |
3 |
Lorry |
10 |
4 |
3 |
Customers order beer every 3 days, with the expected lead time
of 4 days.
The distribution center and customers have time limits for
processing, sending and receiving orders. We also know the time it
takes to load and unload the goods.
It is required to obtain the optimal set of routes in terms of
profit considering the existing conditions (expected delivery time,
time windows)
Result
By default, the results of the experiment are available in the Optimization Results tab, which contains a table with the optimal set of routes that
satisfy the required conditions. Each route has:
- Vehicle is assigned to it
- Estimated costs and profit.
Pay attention to the following:
- The Advanced TO experiment successfully solves problems containing several vehicle types. The optimal
transport is chosen for each route.
- The Generated Trips Segments page contains the following
detailed data per each route:
- Positioning and delivery locations
- Distance between the delivery points
- Delivery times
- Vehicle
load
- Delivery costs
- Each order is processed individually without aggregation.
More data on orders and their processing is available on the following pages:
- Trip Locations - shows detailed statistics on vehicle movement:
- List of customers the vehicle visited
- The amount of products the vehicle transported per customer
- The time spent on delivering orders
- The arrival / departure times
- Amount of processed goods
- Vehicle loading on the route
- Trip Action - shows sequence of
events and detailed statistics for each event in the trip:
- Location of the action
- Date and time of the beginning of the
action
-
Information about the processed order
- Orders Statistics - detailed statistics
on completed orders:
- Date of placing the order
- Date of expected execution of the order
- Quantity of goods in the order
- Cost of the delivered goods
- Supplier order processing time
- Time of order processing at the client
Related topics
Importing examples
Running
the Advanced TO experiment