Real Case Study: RAS Increase The Number Of Buss
The results presented in Table 4 show that RAS reduced the total distance traveled and the number of buses needed. In the Real Case it was traveled 48,507.80 km using 55 buses while RAS planned 41,217.44 km using 39 buses in the best solution. This reduction was possible by increasing the bus occupancy rate, from 68.98% in the Real Case to 97.28% in the best solution of RAS.
The solution found by RAS leads to a monthly gain of US$ 250,935.55 and an annual gain of US$ 3,011,226.55 (by multiplying the monthly gain for 12 months). This monthly gain is due to a reduction of 27.95% of the company’s total transportation cost. Therefore, it can be said that the proposed RAS is capable to achieve interesting financial gains for the company.
By …show more content…
This monthly gain is due to a reduction of 27.95% of the company’s total transportation cost. Thus, it can be said that the proposed RAS is capable to achieve interesting financial gains for the company.
If the studied company uses the proposed RAS metaheuristic, they could considerably reduce its transportation costs. Also, the planning of the buses routes might become an automated
process avoiding the empirical process currently used. As it was showed by the results, this empirical and manual process may lead to suboptimal solutions with higher costs for the company. Therefore, the proposed RAS showed to be an important improvement in the planning and management of routes. The proposed RAS can also be applied to similar problems like the planning of routes for the transportation of students by school buses, the planning of routes for transportation at events, the planning of routes for tourist transportation, among others.
It is suggested as future works the adjustment of the mathematical model and the RAS metaheuristic to include uncertainty issues about number of passengers and travel time between two
The solution found by RAS leads to a monthly gain of US$ 250,935.55 and an annual gain of US$ 3,011,226.55 (by multiplying the monthly gain for 12 months). This monthly gain is due to a reduction of 27.95% of the company’s total transportation cost. Therefore, it can be said that the proposed RAS is capable to achieve interesting financial gains for the company.
By …show more content…
This monthly gain is due to a reduction of 27.95% of the company’s total transportation cost. Thus, it can be said that the proposed RAS is capable to achieve interesting financial gains for the company.
If the studied company uses the proposed RAS metaheuristic, they could considerably reduce its transportation costs. Also, the planning of the buses routes might become an automated
process avoiding the empirical process currently used. As it was showed by the results, this empirical and manual process may lead to suboptimal solutions with higher costs for the company. Therefore, the proposed RAS showed to be an important improvement in the planning and management of routes. The proposed RAS can also be applied to similar problems like the planning of routes for the transportation of students by school buses, the planning of routes for transportation at events, the planning of routes for tourist transportation, among others.
It is suggested as future works the adjustment of the mathematical model and the RAS metaheuristic to include uncertainty issues about number of passengers and travel time between two