Özet:

In recent years, the problem of cargo planning in intermodal transportation systems has become an increasingly important topic in the global logistics sector. However, in much of the current work in the scientific paper, the problem was addressed by the framework of the logistics companies and manufacturers that provide one-mode transportation services. On the other hand, with the popularity of intermodal transportation, the need to simultaneously resolve a number of complex decisions, such as the choice of transport mode, the determination of the number of flights for sea and rail transportation, the periodic charge allocation and the use of external resources, increases the complexity of the problem. In this study, from the point of view of logistics commissioning, a mixed summary mathematical programming model for a multi-purpose, multi-modular and multi-periodic load planning problem was developed. The developed model is capable of producing solutions to customers’ import and export load demands and aims to minimize the total cost as well as to minimize the total transit time that can be associated with the level of customer service and to minimize the total carbon dioxide emissions. In line with contradictory goals and under uncertainty, the decision maker has taken advantage of the foolish targeted programming approach to deliver over-the-counter solutions. The results show that the developed model contributes to the creation of economic, customer satisfaction and environmentally effective and effective cargo plans.

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