RATIONAL AUTOMATION SYSTEM FOR TRANSPORT
Business Cases
Case 1
Case 2
Case 3
Reduction of empty run in combined cargo delivery problem
Increasing the efficiency of the delivery service in the context of minimizing the violation of parameters
The study of different logistics schemes and the rationale for introducing one of them
600
400
200
0
Number of vehicles
Manual calculation
of customer:
489 vehicles used
of customer:
489 vehicles used
Calculation with RAST:
396 vehicles used
396 vehicles used
Case 1
Reduction of empty run in combined
cargo delivery problem
Reduction of empty run in combined
cargo delivery problem
The customer set a task to investigate the possibility of reducing idle mileage in the transportation of dairy products between large transport hubs, in which large-scale transport is involved.
Planning was carried out for 2 weeks ahead.
In the calculations, the RAST redistributed the workload so that in the body of one vehicle instead of one or two orders, as before, there were an average of 4 or more orders simultaneously.
Planning was carried out for 2 weeks ahead.
In the calculations, the RAST redistributed the workload so that in the body of one vehicle instead of one or two orders, as before, there were an average of 4 or more orders simultaneously.
500K
400K
300K
0
Total empty run
Manual calculation
of customer:
462 621 miles of empty run
of customer:
462 621 miles of empty run
Calculation with RAST:
317 500 miles of empty run
317 500 miles of empty run
200K
100K
The reduction is:
93 vehicles (or 19%)
145 121 miles (or 31%)
100%
80%
0%
Manual calculation
of customer
of customer
Reduced transport working time: 27%
Case 2
Increasing the efficiency of the delivery service in the context of minimizing the violation of parameters
Increasing the efficiency of the delivery service in the context of minimizing the violation of parameters
For a large cash collection company, the tasks of daily and strategic planning were calculated.
The main goal was to reduce the total and maximum delay to customers.
The main goal was to reduce the total and maximum delay to customers.
Parameters of the daily planning task:
35-40 points in one route
400 points in total
1 hour or less time windows
400 points in total
1 hour or less time windows
Reduced total run:
36%
36%
Reduced total lateness: 89%
Reduced the maximum delay:
from 3 hrs to 2 mins
from 3 hrs to 2 mins
60%
40%
20%
100%
80%
0%
Customer expenses
Decoupling points from fixed routes:
20% reduced cost
20% reduced cost
Case 3
Research and rationale for the introduction of logistics schemes
Research and rationale for the introduction of logistics schemes
In this case, a study of the effectiveness of the company's current business processes related to delivery was conducted, as well as analysis of prospective delivery schemes.
The following schemes were investigated:
Unbinding of points from fixed routes in the current scheme
Application of multiple routes for one vehicle per
day and additional optimization
Strategic planning for two weeks ahead with the
selection of the optimal day for fulfilling orders
Application of multiple routes for one vehicle per
day and additional optimization
Strategic planning for two weeks ahead with the
selection of the optimal day for fulfilling orders
Using multiple routes:
21% reduced cost
21% reduced cost
Using additional optimization algorithms:
37% reduced cost
37% reduced cost
Strategic planning with choosing of day when each order must be executed:
45% reduced cost
45% reduced cost
60%
40%
20%
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