engleski

The management of port-transhipment processes in a function of more efficient protection of the environment and using energy

The basic objective of this paper is to present an overview of important theoretic methods, models, techniques and tools which have been used, both in science and practice, in modern management of port systems, and to provide adequate proposals to enhance port resources management. Optimisation and simulation are basic techniques in addressing the issues related to managing transhipment processes. The former, i.e. optimisation, includes approaches and methods belonging to mathematical programming. The latter, i.e. simulation, is less rigorous from the mathematical point of view and closely refers to all the methods which explore the possibilities and seek the best solutions to the set tasks, with no criteria that have been set in advance and precisely defined for completing the search procedure. As both of these techniques, individually and mutually, have their advantages and shortcomings, one of the ways of improving the computer-supported decision-making in maritime management is to focus on connecting these techniques, i.e. designing the sort of approaches in the mathematical modelling of complex issues that would benefit from the advantages of the techniques and reduce their individual shortcomings. Apart from statistical and operations research methods, the artificial intelligence, based on the theory of learning, has improved the potentials of using the already acquired knowledge (through expert systems) and information (through neuron networks), with the aim of making efficient management decisions. The task of a system optimisation is to choose the best alternative from a number of likely and favourable variants, by acquiring the criteria leading to the optimum solution to the optimisation task.

optimisation; artificial intelligence; mathematical modelling; simulation.

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