I am implementing vrp solve in a company that distributes food in vehicles of various capacities 2ton, 3.5ton, 5 ton , 10 ton etc.
I need to know the options that the software offers to increase the occupation of the capacity of vehicles (routes), I have read the VRP Solve bibliography, but I couldn´t find a variable that controls this parameter.
The options that I already worked are:
- Trial and error tests modifying distance costs and fixedcost according to capacity.
- Run a VRP with higher capacity vehicles, then another vrp with the smaller capacity vehicles.
None of the above gave a positive result.
The software respects time windows, optimizes resources but underutilizes load capacity. An example of this, a vehicle with a capacity of 10 tons dispatches it with deliveries equivalent to 3 tons, a vehicle with a capacity of 3.5 tons dispatches it with 2 tons, etc., for the company that distributes mass consumption products. This is not efficient since the cost of transport per ton rises, even though it respects time windows and other restrictions.
Example: The table on right side represents the results of the vrp, while the table on left side represents the expected results. The goal is to increase the average of %UseCapacity, in this test the costs were zero for all routes.
I would appreciate to your suggestions or study material where there are options to solve this requirement.