Latest Contributions by Deivid__RodriguezHuertas

‎03-04-2019

Hi Heather Thanks for answering. Yes, all routed vehicles have the same restrictions: Break time window 9 am-9:30am, start and end in the same deposit, maximum total time of 720minutes, max travel time does not have, is null, maximum distance is null, maximum number of orders 100 orders, but it is a very large that does not affect the choice to improve the occupancy capacity of vehicles. I understand that the model may be restricted to these restrictions but I did the test without them and the result is similar. My conclusion is that because the fleet is of different capacities and there is a big difference between each of them, it is not possible to control the fleet capacity utilization percentage. Maybe in another company they have had this problem and they have been able to solve it, I would like to know how they solved it or some study material related to the occupation of capacities. I would appreciate to your suggestions

‎03-01-2019

Hi Everybody, 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.

‎02-28-2019

Hi, 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.

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Latest Contributions by Deivid__RodriguezHuertas

Re: How can occupation of route capacity be improved?

How can occupation of route capacity be improved?

Re: What VRP problem types are you modeling?

Re: What VRP problem types are you modeling?