The aviation sector is one of the fastest-growing segments of the transportation industry responsible for a considerable share of greenhouse gas emissions. Therefore, sustainability has become one of the central issues for the aviation sector. International regulatory bodies, airlines, and airport operators, along with aircraft manufacturers and suppliers have put forward initiatives to make aviation green. However, before the wider implementation of new sustainable practices, it is important to look at the opinion of passengers, as customers, on these matters. For this reason, this study aims to explore the knowledge and attitudes of Slovak passengers about green initiatives in aviation. The information about passengers’ knowledge and attitudes was collected through an online questionnaire. The data obtained from 514 respondents were evaluated employing descriptive and inferential statistics. From the results, several conclusions are apparent. Slovak passengers have generally weak environmental knowledge; therefore, it is important to provide them with enough relevant information to make informed decisions. The passengers have generally neutral to positive attitudes towards green initiatives in aviation, with the exception when these initiatives endanger their comfort or finances. For the development of green aviation, it is essential to increase the number of passengers with overall positive attitudes.

The traditional concept of the primary, secondary, tertiary and later quaternary economy is based on several structurally divided and related tasks and processes in processing raw materials and earth resources. Gradually, a new concept of the functioning of the economy was created, called “circular economy” or “circular economy”. Its basis is the transformation of linear economic processes managing the use of raw materials to create a sustainable economic growth model. The circular economy transforms economic activity associated with the consumption of limited resources into the more efficient reuse of resources. Based on the above, the presented article aims, based on theoretical and empirical analysis, to identify the potential of processing and using non-energy raw material—recycled aggregate—in the construction industry and to propose a concept for information modeling of the parameters of sustainable construction using this non-energy raw material per the principles of the circular economy. The solution to this research problem is realized through theoretical analysis and comparison of approaches to the circular economy, reuse of non-energy raw materials in the construction industry and analysis for the creation of a concept based on the use of information needed for sustainable construction planning through building information modeling (BIM). Based on my research, my results will be presented, the applicability of which is verified through a case study. The object of the case study is the construction of a new building, which will represent a set of five similar constructions interconnected by underground floors (garages, technical facilities of buildings) and communication spaces (corridor, hall). The priority of the construction of the centre is to build a sustainable building, i.e., to implement the work using sustainable methods with the greatest possible use of sustainable materials and procedures, which will reduce the impact on the ecosystem and support the goals of the circular economy. Traditional, natural raw materials will be replaced by recycled secondary raw materials within individual constructions and elements. When choosing suitable raw materials, the design of the BIM library of sustainable elements will help. The BIM library will act as a link between manufacturers and BIM digital replicas of real building products and components.

The paper deals with the simulation of selected activities in the warehouse. Routine logistics activities are the receipt of the goods, the control of the goods, and the goods’ storage in the warehousing system on the side of the entry into the warehouse. On the output side, these are activities such as picking, packing and shipping. The economy of warehouse operations depends on the efficiency of the logistics activities performed and on deployed the technical means. The paper’s main goal is to present a created simulation model for a selected warehouse activity—receipt of goods into the warehouse. This operation involves unloading the goods from the trucks, moving them to the physical receipt, where the quantitative and qualitative control of the goods is performed (acceptance of goods). An analysis of this activity preceded the creation of the simulation model under operating conditions. The research was performed by observing and measuring the forklift’s work cycle, which unloaded pallets from the trucks. The obtained data from the analysis were the input to the simulation model. The EXTENDSIM8 simulation system was used to create a simulation model. The several experiments were performed on the model after its creating and verifying the functionality. The paper evaluates 3 experiments and analyzes their results. The main benefit, novelty, of the article is the simulation of a selected activity for a specific company’s conditions. The experiments results are a reasonable basis for the creation of an operational tool for the company.

This paper aims to develop a method that could serve as a tool for evaluating extracted raw materials in terms of use by considering the place of extraction and consumption. Dijkstra´s algorithm solves many of the shortest path problems observed in the production planning of raw materials. The algorithm requires knowledge of the relative distance between the vertices and the definition of the Euclidean distance of the vertices from the target vertex. The algorithm scans all of the paths and chooses the one with the minimum distance. At the same time, it would be able to identify the places of sale of raw materials and transport sites for the transportation of raw materials. It would have a database of point and line sources of occurrence (mining, deposit), places of transport (transmission network), and points of sale (seller). At present, geo-statistics is becoming an essential tool for solving various problems in modern deposit geology. Its results are used to calculate reserves and the economic valuation of the deposit. In the process of production planning, it is necessary to constantly process and analyze the geological information obtained during the mining survey.