47 research outputs found
Fuzzy containers allocation problem in maritime terminal
Containers allocation in terminals has attracted lots of research works due to
practical & theoretical importance in transportation literature. In this paper, we developed
a fuzzy mathematical programming model for solving problem of allocating the containers
in terminal area. The objective is minimizing the total distance traversed by the containers
from the ship to the terminal area they are assigned. Fuzzy set concepts are used to treat
imprecision regarding the distances between berth and terminals area, number of
containers in an arrived ship and estimation of available area in each terminal at a port. We
proposed two types of models for optimistic and pessimistic situations. The proposed
models have been coded in LINGO8.0 solver and a numerical example has been solved
for illustration purpose. The full analysis of the proposed models can cause an optimum
allocation of containers of several ships to different terminals of berths in fuzzy
environment.Peer Reviewe
A new model for probabilistic multi-period multi-objective project selection problem
The project selection problem is considered as one of the most imperative decisions for investor
organizations. Due to non-deterministic nature of some criteria in the real world projects in this paper, a new
model for project selection problem is proposed in which some parameters are assumed probabilistic. This
model is formulated as a non-linear, multi-objective, multi-period, zero-one programming model. Then the
epsilon constraint method and an algorithm are applied to check the Pareto front and to find optimal solutions.
A case study is conducted to illustrate the applicability and effectiveness of the approach, with the results
presented and analysed. Since the proposed model is more compatible with real world problems, the results
are more tangible and trustable compared with deterministic cases. Implications of the proposed approach are
discussed and suggestions for further work are outlined
Fuzzy containers allocation problem in maritime terminal
Containers allocation in terminals has attracted lots of research works due to
practical & theoretical importance in transportation literature. In this paper, we developed
a fuzzy mathematical programming model for solving problem of allocating the containers
in terminal area. The objective is minimizing the total distance traversed by the containers
from the ship to the terminal area they are assigned. Fuzzy set concepts are used to treat
imprecision regarding the distances between berth and terminals area, number of
containers in an arrived ship and estimation of available area in each terminal at a port. We
proposed two types of models for optimistic and pessimistic situations. The proposed
models have been coded in LINGO8.0 solver and a numerical example has been solved
for illustration purpose. The full analysis of the proposed models can cause an optimum
allocation of containers of several ships to different terminals of berths in fuzzy
environment.Peer Reviewe
Fuzzy containers allocation problem in maritime terminal
Containers allocation in terminals has attracted lots of research works due to
practical & theoretical importance in transportation literature. In this paper, we developed
a fuzzy mathematical programming model for solving problem of allocating the containers
in terminal area. The objective is minimizing the total distance traversed by the containers
from the ship to the terminal area they are assigned. Fuzzy set concepts are used to treat
imprecision regarding the distances between berth and terminals area, number of
containers in an arrived ship and estimation of available area in each terminal at a port. We
proposed two types of models for optimistic and pessimistic situations. The proposed
models have been coded in LINGO8.0 solver and a numerical example has been solved
for illustration purpose. The full analysis of the proposed models can cause an optimum
allocation of containers of several ships to different terminals of berths in fuzzy
environment