Production environments worldwide transform themselves in order to take the best advantage of the Industry 4.0 guidelines. Automation, data exchange, cyber-physical systems, the IoT, cloud and cognitive computing represent a step in the unknown to these companies, associated with high risks and also the need to restructure their culture. If the execution route is not clearly defined and understandable to all levels of employees, the renovation is too long. The maturity models can be used for the assessment of current Industry 4.0 maturity level, but the practical use of scores and assessed level often requires the involvement of consulting firms. Companies can avoid the involvement of consulting companies with the use of complementary tools. In this paper, we propose a new methodology that combines the Industry 4.0 maturity model and discrete-event simulation tools in the case of steel production company with the possibility of generalization. The combination of these tools in the first step helps the company to assess its current level of maturity for Industry 4.0, and in the second step helps to consider about strengths and weaknesses of possible scenarios for transition to a higher level of maturity.

The objective of traffic accident reconstruction is to recreate the event, which is necessary for analyzing the collision dynamics that is used as evidence in court cases. Traffic accident reconstruction and a demonstration of the event require precise data pertaining to scene measurement. However, there are differences between the individual measuring tools and methods related to traffic accident investigation, just as there are differences between the extent of their use and measurement accuracy. The most commonly applied method is the measuring tape, followed by measurements with total stations and laser rangefinders, while photogrammetry is also becoming increasingly important. The advantages and disadvantages of individual tools and methods affect the required number of investigators, portability, measurement range, applicability depending on the amount of light and weather conditions, on the possibility of remote measurement, on data collection time, on the scope, on the option to later process, the collected data and above all on the accuracy of all gathered data. The latter is crucial for proving the guilt or innocence of traffic accident participants at court, as inaccurate data can lead to an unjust sentence. Measurement accuracy using the above mentioned tools and methods also varies depending on which ones are used, as well as on other factors.

No abstract

No abstract

Logistics is a very important service, which can influence the international trade. However, the rates in the development of international activities vary by country. In developing countries, the share of the logistics services is increasing, while the share of manufacturing activities, especially those with the lower added value, is declining due to the relocation of production to other countries. In order to achieve competitive advantages in the logistics sector, the development of logistics services with the higher added value is required. The effectiveness of logistics processes is very important for international competitiveness. In the paper, is presented the literature review on logistics performance. After presenting relevant research, the effectiveness of logistics is compared using the logistics performance index based on the Data Envelopment Analysis (DEA). The DEA analysis is a benchmarking technique which is useful for a multi-criteria comparison. Values of the international logistics performance index for 2016, for selected European countries, were used for the input and output variables of the DEA model. European countries rank high in the international comparison of the logistics performance index. In the paper, it was found out that the compared countries are competitive in international business, but not all the countries are considered as efficient. Germany achieves the highest points in the international comparison of the LPI but, does not achieve efficiency. We also found out that Austria, Serbia, Russian Federation and Bosnia and Herzegovina were efficient, while other compared countries did not.