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Increased number of container shipping nowadays, brings new challenges for container terminal to improve their operational performance. In addition with the increase of competition between ports, optimal and integrated planning will help terminal to face those challenges. This research studies about optimizing an integrated planning of the container terminal in Indonesia, using a bi-objective optimization...
Berth Allocation problems are usually studied by using bin-packing method, integer programming method and simulation methods. In this paper, non-Smooth optimization and nonlinear programming approaches are used to formulate the Berth Allocation problem as a general optimization model. The general model is given a nonlinear programming representation and the first-order optimality conditions.
According to the characteristics of the multi-resource, multi-depot and multi-objective emergency scheduling problem, this paper establishes a multi-objective mathematical model with the goal of the shortest time and the smallest cost. We propose an algorithm for multi-objective fuzzy decision using the fuzzy ideal point method, which transforms the multi-objective decision into the single-objective...
This paper is aimed to solve the multi-facility location problems of distribution centers by multi-objective decision method. After analyzing the requirements and characteristics of distribution time, it put forward a multi-facility location model in which the distribution cost was taken as decision objective and the distribution time was changed to a group of constrains. It designed a bi-step heuristics...
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