چكيده به لاتين
Abstract:
In this thesis, a mathematical model with three objectives is presented to determine the optimal
location of dry ports by minimizing the maximum transport time of the whole network,
environmental pollutants and transportation costs, which simultaneously provides the number
of dry ports needed in the network and the optimal location for their construction. The volume
of export and import between the four major ports and about 400 cities in Iran and the amount
of pollutant emissions per ton-km in each transportation mode has been collected as a input for
the model in a ten-year period. Transportation, operations and warehousing costs for ports have
been seen for the first time in a multi-objective model. The mathematical model presented in
this article is coded by GAMS software and optimized by Cplex Solver. The gap of model
equaled to zero to determine the optimal location for of dry ports in Iran. To solve the model,
the Epsilon constraint Approach has been used. In this thesis, a set of solutions for each
objective function is obtained, then a plot of the Pareto is drawn, and finally an ideal solution
is chosen from the Pareto solution. Contrary to the idea of the results of the model, it is shown
that in the present situation of Iran, the establishment of dry ports in Iran is not economical,
and the first selected solution does not introduce any port of landing using the transfer
technique, but the second to the fourth selected solution is constructed Dry ports are logical
and they choose قم and يزد .Also, due to the sensitivity analysis done by changing the fuel
price or existing rail network, the model identifies a number of potential points for the dry
ports. The results of this model show that with the construction of dry ports, despite the increase
in overall network costs due to the construction of dry ports, operation and warehousing in
them, greenhouse gas emissions are significantly reduced. Stochastic optimization and robust
optimization approaches are also used to apply uncertainty in the model and do not recommend
any dry port in the first optimal poreto solution, as well as the definitive model of dry ports,
But in the second and third optimal answers that are slightly optimal from the first solution,
Shahr-e-Kord and يزد ,قم and يزد ,respectively, were selected for the construction of dry ports.
Keywords: Dry Port, Mathematics Model, Location, Optimization
