Optimal routing - delivery of building materials
The delivery of building materials is perhaps the most difficult to route, and this is primarily due to the fact that the delivered products have different characteristics in terms of weight and volume. So, for example, a car with a carrying capacity of 1500 kg and a body volume of 8m3 can transport up to 1m3 of bricks weighing up to 1500 kg, but at the same time, 1500 kg of foam plastic with a volume of 100m3 will no longer fit in the vehicle. This example shows while planning routes, weight and volume are taken into account simultaneously, and exceeding one of the parameters, even if the other parameter still does not exceed the vehicle's capabilities, is not allowed.
The system allows you to calculate the time of loading / unloading the vehicle, depending on the amount of delivered products. The system will also help to load the vehicle correctly, so that, having arrived at the point, the driver does not waste time looking for products in the back.
First you need to select the capacity units of vehicles, you can do this by going to Service - Configuration - Accounting, where opposite kg(weight) and m.cub.(volume) we set Yes:
Pay attantion! If you are shipping in pallets of standard sizes, then in this case you can keep track of the capacity in units (pcs).
Now we will indicate the carrying capacity and capacity of the vehicle. In the corresponding fields, you can enter 3 values: minimum, nominal and maximum allowable. In this example, the nominal capacity is 1500 kg, but the system understands that if necessary, the machine can be loaded with 1600 kg (maximum). The system will issue a warning about congestion, but the calculation will not be blocked. The minimum is used to prohibit driving a vehicle with a small load.
Make sure that the product accounting is unabled. To do this go to the Service - Configuration - Accounting.
Calculating, you must take into account the time required for loading or unloading, which directly depends on the amount of products to be delivered. In the directory, select Product groups. In the General group, set the loading time of the vehicle at the warehouse 10kg/min and 1m3/min, and the time of unloading the vehicle at the point 15kg/min and 2m3/min:
It remains only to correctly load all the poroducts into the vehicle so that upon arrival at the first point of the route, the goods are at the door of the van. To do this, let's create a loading list in the analytical module. Having generated the required document, set the sorting in descending order in the Position field:
Consider an example of calculated routes. The administrative time at the points was set to 8 min 1 - this is the time for parking, coordinating documents, etc. - for each point, such time can be set individually and transmitted by the Unload_Time field. The total time spent by the vehicle at point - 2 - is calculated as follows: 8 + 1500/15=108 min. You can now print the Vehicle Loading 3 document and direct the vehicle to be loaded:
Pay attention! If you use 2 or more unloading coefficients, the larger of the resulting time intervals will be used while forming the route. For example, if it takes 15 minutes to unload products by volume, and 100 minutes by weight, the service will take into account a larger indicator, i.e. 100min.
The system can calculate routes in such a way that the points to which products of greater weight are delivered have priority. In the Service - Settings - Field for load factor select the weight, in the Coefficient load factor, first set 0 and calculate the routes, then set the 1 and calculate the routes again:
After completing the calculations and comparing them, you can be sure that with a coefficient load factor of 0, the service first of all calculated the minimum route in terms of mileage - 37.36 km. In the second case, with a coefficient of 1, the route became a little longer - 38.53 km, but it is clear that at the 3rd point the vehicle unloaded the maximum weight - 500 kg. The difference in mileage is not significant, but due to the earlier unloading of the maximum weight, greater fuel savings are achieved: