Application of system analysis for optimization of bunkering decisions under uncertainty conditions

The purpose of this paper is to develop and apply system analysis and stochastic methods to optimize ship bunkering under uncertainty. Simulation modeling, stochastic optimization and scenario analysis methods are used in the study. The model of fuel stock management, which takes into account the stochastic nature of demand and the balance of storage and shortage costs, is developed. Experimental results show the reduction of expected costs compared to deterministic approaches. It is concluded that the application of system analysis and probabilistic methods provides more reasonable planning of logistics processes, which is confirmed by the reduction of costs and increased stability of decisions.

Authors: D. A. Pervukhin, I. M. Novozhilov, S. K. Neyrus

Direction: Informatics, Computer Technologies And Control

Keywords: bunkering, modelling, inventory management, logistics, decision optimization

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