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Hi
I have an issue with the output using this input data. My problem is that I'm passing this data to the algorithm, but unfortunately, despite having 3 vehicles, all the jobs are being assigned to vehicle number 1. What do you think could be the cause of this problem?
The purpose of route optimization is to minimize the cost of serving all jobs. In your example, doing everything with a single vehicle is overall cheaper, so this is the expected solution.
In general, if not all jobs can be served by a single vehicle, then it means there are underlying business constraints: capacity, timing etc. You have to take those into account in order to improve the model and have the solutions match your workflow.
Hi
I have an issue with the output using this input data. My problem is that I'm passing this data to the algorithm, but unfortunately, despite having 3 vehicles, all the jobs are being assigned to vehicle number 1. What do you think could be the cause of this problem?
input_data = {
"vehicles": [
{
"id":1,
"start_index":0,
"end_index":3,
"start":[2.35044, 48.71764],
"end":[2.35066, 48.71777]
},
{
"id":2,
"start_index":0,
"end_index":3,
"start":[3.35044, 49.71764],
"end":[3.35096, 49.71747]
},
{
"id":3,
"start_index":0,
"end_index":3,
"start":[1.35044, 47.71764],
"end":[1.35096, 47.71747]
}
],
"jobs": [
{
"id":1414,
"location_index":1,
"location": [1.98935, 47.701],
"priority":1
},
{
"id":1515,
"location_index":2,
"location": [2.03655, 48.61128],
"priority":2
},
{
"id":1616,
"location_index":3,
"location": [3.03655, 49.61128],
"priority":3
},
{
"id":1717,
"location_index":3,
"location": [4.03655, 50.61128],
"priority":0
},
{
"id":1818,
"location_index":3,
"location": [1.03655, 45.61128],
"priority":1
},{
"id":1919,
"location_index":3,
"location": [2.03655, 44.61128],
"priority":4
}
],
"matrices": {
"car": {
"durations": [
[0,2104,197,1299],
[2103,0,2255,3152],
[197,2256,0,1102],
[1299,3153,1102,0]
]
}
}
}
Output from Vroom :
{
"code": 0,
"summary": {
"cost": 5461,
"routes": 1,
"unassigned": 0,
"setup": 0,
"service": 0,
"duration": 5461,
"waiting_time": 0,
"priority": 11,
"distance": 2016365,
"violations": [],
"computing_times": {
"loading": 0,
"solving": 0,
"routing": 14
}
},
"unassigned": [],
"routes": [
{
"vehicle": 1,
"cost": 5461,
"setup": 0,
"service": 0,
"duration": 5461,
"waiting_time": 0,
"priority": 11,
"distance": 2016365,
"steps": [
{
"type": "start",
"location": [
2.35044,
48.71764
],
"location_index": 0,
"setup": 0,
"service": 0,
"waiting_time": 0,
"arrival": 0,
"duration": 0,
"violations": [],
"distance": 0
},
{
"type": "job",
"location": [
1.98935,
47.701
],
"location_index": 1,
"id": 1414,
"setup": 0,
"service": 0,
"waiting_time": 0,
"job": 1414,
"arrival": 2104,
"duration": 2104,
"violations": [],
"distance": 144015
},
{
"type": "job",
"location": [
2.03655,
48.61128
],
"location_index": 2,
"id": 1515,
"setup": 0,
"service": 0,
"waiting_time": 0,
"job": 1515,
"arrival": 4359,
"duration": 4359,
"violations": [],
"distance": 261059
},
{
"type": "job",
"location": [
2.03655,
44.61128
],
"location_index": 3,
"id": 1919,
"setup": 0,
"service": 0,
"waiting_time": 0,
"job": 1919,
"arrival": 5461,
"duration": 5461,
"violations": [],
"distance": 799000
},
{
"type": "job",
"location": [
1.03655,
45.61128
],
"location_index": 3,
"id": 1818,
"setup": 0,
"service": 0,
"waiting_time": 0,
"job": 1818,
"arrival": 5461,
"duration": 5461,
"violations": [],
"distance": 1006395
},
{
"type": "job",
"location": [
4.03655,
50.61128
],
"location_index": 3,
"id": 1717,
"setup": 0,
"service": 0,
"waiting_time": 0,
"job": 1717,
"arrival": 5461,
"duration": 5461,
"violations": [],
"distance": 1699383
},
{
"type": "job",
"location": [
3.03655,
49.61128
],
"location_index": 3,
"id": 1616,
"setup": 0,
"service": 0,
"waiting_time": 0,
"job": 1616,
"arrival": 5461,
"duration": 5461,
"violations": [],
"distance": 1884711
},
{
"type": "end",
"location": [
2.35066,
48.71777
],
"location_index": 3,
"setup": 0,
"service": 0,
"waiting_time": 0,
"arrival": 5461,
"duration": 5461,
"violations": [],
"distance": 2016365
}
],
"violations": [],
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