The pressure to the environment protection within the concept of sustainable development and many national initiatives is constantly rising. This is also reflected in the field of transport. Currently, the issue of electro mobility is often discussed. Acquisition of eco-friendly cars or electric buses has the potential for improving the environment and greenhouse gas production situation. However, the acquisition cost and the operating costs of the electric vehicles generate a certain cost structure that is different compared to the diesel vehicles. The amount of state aid as well as possibility of such aid for purchasing electric bus still remains uncertain. The aim of this paper is to highlight the possibility of using life cycle cost analysis to quantify the support for the acquisition of electric buses against diesel buses with respect to the different structure of costs and the time value of money. This difference was set at the level Difference set to 22%, which is a required level for the co-financing from the government, self-governance or EU structural funds. In monetary terms, that means the amount of 132 000 € for an electric bus.
AGV systems, gradually making their way into individual logistics processes, represent an important tool for handling different types of cargo. Since their initial start in the domain of small handling units, their use has been incrementally finding its application in the area of large handling units, too, such as different types of containers. That is why an ever increasing number of them can be encountered at the range of land and sea reloading sites. Thus, there are many opportunities for them to be deployed in different types of logistics processes at maritime reloading sites. For the AGV system and the logistics processes to function correctly at each maritime reloading site, they need to be thoroughly fine-tuned. One of the methods that can be used effectively to that end is the method of computer simulation. The paper will describe how to create a simple simulation model using Tecnomatix Plant Simulation.
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