International trade between Hungary and Russia within the development of the pharmaceutical industry

The global pharmaceutical market is one of the most innovative and dynamically developing sectors of the global economy. In addition, this industry can be considered highly profitable. Its role has especially increased in the context during the coronavirus pandemic. This article examines trade relations between Russia and Hungary in the pharmaceutical sector. For the Hungarian economy, the pharmaceutical industry is one of the traditional and most innovative sectors of the economy: about 86% of the manufactured products are exported. Hungary is among the top 20 largest exporting and importing countries of pharmaceutical products. The main partners of Hungary are the EU countries. Russia remains an important partner of Hungary in the export of pharmaceutical products, however, it we should note the downward trend of the Russian share in Hungarian exports, due to the sanctions policy on the part of the EU. After the imposition of sanctions in 2014, the growth rate of the Russian pharmaceutical market slowed down, which also negatively affected the volume of trade cooperation with European partners. Russia has traditionally been a major importer in the global pharmaceutical market. An important problem is the reduction of drug import dependence and the expansion of exports. For Russia, this will be possible thanks to the development of unique innovative products. Hungary is an attractive country for the development and expansion of Russia's trade relations in the global pharmaceutical market. For both countries, the pharmaceutical industry is strategically important. The situation with the coronavirus pandemic has shown that political differences can be leveled. Hungary became the first European country to conclude a contract with Russia for the supply of Sputnik V coronavirus vaccine. Thus, there is a high economic potential to make up for the lost pharmaceutical relationship between the two countries.

Additive manufacturing towards product production: a bibliometric analysis

Additively manufactured products offer extensive variety to consumers than many forms of production. Additive manufacturing (AM) production system allows consumer involvement, which has created a huge but largely untapped market. However, there is a gap between production and the market. Therefore, AM towards product production which focuses on the Commercialization of Additive Manufactured Products (CAMPs) is imperative. Despite the importance of CAMP, specific focus of research on the commercialization of additively manufactured products are scanty. There is also a lack of knowledge about the conceptual structure, intellectual structure, research trends, and the thematic structure of CAMP research. To contribute to this stream of research, this study takes an exploratory dimension by conducting a bibliometric analysis of publications on the CAMP. The R package and its associated biblioshiny were the software used. The study reveals that studies on CAMP started in 2007 with renewed interest starting from 2012. Importantly, it was found that the most cited articles focused on the economic potential of AM products in the home and specific industries. Also, there is an increasing focus on the business models that are necessary for the commercialisation of AM products. Generally, there is a shift in focus from the firm to the market. However, this is a niche area and requires more attention. Themes such as commercialization are just emerging, and researchers need to devote more time and effort to the consumer side of the commercialization of AM products.

Application of Machine Learning Techniques in Additive Manufacturing: A Review

This chapter provides an analysis of the state-of-the-art in ML applications for optimizing the additive manufacturing process. This chapter primarily presents a review of the literature on the use of machine learning (ML) in optimizing the additive manufacturing process at various stages. The chapter identifies ML-researched areas in which ML can be used to optimize processes such as process design, process plan and control, process monitoring, quality enhancement of additively manufactured products, and so on. In addition, general literature on the intersection of additive manufacturing and machine learning will be presented. The benefits and drawbacks of ML for additive manufacturing will be discussed, as well as existing obstacles that are currently limiting applications.

The Quality Management of the Products Produced by the Enterprises for the Production of Metal Structures

Currently, it is necessary to build a product quality management system that ensures the smooth operation of the organization, the competitiveness of products, the development and maintenance of the organization's quality goals. The article discusses the theoretical foundations of quality management of manufactured products at the enterprise. The necessity of quality management of the enterprise's products as the basis of the competitiveness of the enterprise is substantiated. The concept of quality management is considered. The stages of development of the quality management system are given. The threats of defective goods and their impact on the economic condition of the enterprise are considered. At the research stage, the Ishikawa causal diagram was used, developed using the 6M mnemonic technique. The quality control system of metal structures is analyzed. Losses from defects in the manufacture of metal structures were revealed. A Pareto diagram of the defected goods distribution is constructed, the data of which indicate that more than 55 % of the defects is caused by locksmiths, 17 % — undercuts, 13 % — displacement of holes and other reasons. The main reason was the insufficient level of qualification of locksmiths. In order to improve the quality of products, measures have been proposed concerning the retraining of workers, updating equipment. It is recommended at operational meetings to develop preventive and corrective measures to reduce defects, reduce the workload of engineers of the technical control department. The suggested measures will reduce the number of defective products, increase the competitiveness of the company's products.

Improving the productivity of Pini-Kay fuel briquettes by modernizing the working part of the PSH-250 press

The research related to the productivity of production of fuel briquettes of the "Pini-Kay" type, due to the modernization of the working part of the press line for the production of fuel briquettes with a capacity of 250 kg / h (LVB - 250) was carried out. It is known that the press used on this line is PSH-250, it is the main working equipment of this line, as it serves to press the briquette under temperature and is the closing link in the whole briquette process. In the presented study, the main criterion of productivity was considered to be the number of manufactured products before the break of the splined auger, because the breakdown forces to stop the equipment and replace it. This in turn reduces the number of manufactured products. The paper states that the modernization was carried out as follows: the slot screw, which is the main working body of the press PSH - 250, made of structural steel (steel 45) by casting, was replaced by a slotted screw made by machining on CNC machines, high-quality structural alloy steel 40HMFA. This steel is used to make splined shafts, connecting rods and rods, and is best suited for making a splined auger. In addition, to increase the structural strength, the workpiece of the auger, was made heat treatment - normalization. The proposed technological solution allowed to increase the productivity of fuel briquettes, by reducing the downtime of equipment for repair and replacement of working parts of the press PSH-250. This in turn reduced the company's financial costs for spare parts and affected the cost of finished products. The obtained results show that the slotted augers proposed by the authors allowed to increase the productivity of fuel briquettes production almost 10 times in comparison with the previous results.

ELEMENTS OF SPACE ORGANIZATION MANAGEMENT OF ENTERPRISES IN THE METAL MATERIALS INDUSTRY

The article has as a starting point the presentation and analysis of the advantages of spatial organization of enterprises, as a management method. Thus, we analyze: creating the optimal conditions for the rhythmic realization of the production process; ensuring greater flexibility in the use of means of production; the possibility of carrying out a maintenance and repair activity of the equipment without disturbing the technological production process; ensuring an efficient management of the production unit. We also analyze, critically and comparatively, the disadvantages of spatial organization, such as: the need for a high qualification of workers; the need for a very high volume of transport and handling; technical quality control is much more complex in the conditions of a diversified production; the production cycle of manufactured products is long.

COMPARISON OF BASIC MAINTENANCE CONCEPTS USING WITNESS

Maintenance is a complex, extensive and important issue in terms of its impact on the quality of manufactured products or services provided in all areas of industry. The importance of predictive maintenance for the industry in the 21st century is crucial. However, the right approach to maintenance management is often underestimated in many companies today, although it can have a very positive effect on the company’s efficiency. Using the example of a practical application, the paper includes a comparison of three main maintenance concepts – classical (reactive), planned, predictive through the simulation software Witness. Maintenance concepts are compared in terms of their ability to solve and eliminate failures that occur in production facilities during operation.

PROBLEM OF DECISION-MAKING ON CONTROL OF THE PROCESS OF HYDRAULIC TREATMENT OF A CATALYTIC REFORMING PLANT IN A FUZZY MEDIUM AND DEVELOPMENT OF A METHOD FOR ITS SOLUTION

The problems of formulating and solving the problem of making decisions on the control of the hydrotreating process in a fuzzy environment are investigated and an effective method for solving such problems with the involvement of experts, their experience, knowledge and intuition is proposed. The statement of the problem of controlling the hydrotreating process, which takes place in the hydrotreating reactor and is characterized by the indistinctness of the initial information, is obtained in the form of the problem of making decisions on the choice of the optimal operating mode of the hydrotreating reactor. The management criteria were chosen to maximize the volume of production, i.e. hydrogenate, and improving the quality characteristics of the manufactured products. In the mathematical formulation of the decision-making problem for the management of the hydrotreating process in a fuzzy environment and the development of a method for its solution, the ideas of the principle of the main criterion and maximin were used by adapting them to work in a fuzzy environment. A heuristic method has been developed for solving the assigned decision-making tasks for controlling the hydrotreating process in a fuzzy environment. The originality and novelty of the applied approach to the formulation and solution of the decision-making problem in a fuzzy environment consists in increasing the adequacy of the decision made in a fuzzy environment due to the maximum use of the initial fuzzy information.

The behavior of cambered belts transiting cylindrical rollers

The lateral deformations of webs in roll-to-roll process machines can affect the quality of the manufactured products. Webs with simple nonuniform length variation across their width (camber) will steer toward the long side, leading to the steady state lateral deformation and hence registration. Most previous studies have focused on a cambered web in a free span between two rollers. These studies assume some displacement and slope boundary conditions are known and seek the remaining conditions that would dictate the steady state lateral deformation of the web. This article focuses on the lateral behavior of a cambered web belt transiting between two aligned rollers as the simplest case of multiple span cambered web. Dynamic simulation has been conducted to better understand the response of a cambered web under tension that has been witnessed in tests. There are no boundary conditions enforced and no steady state deformation of the cambered webs. Thus there is no closed-form solution to the lateral movement of a cambered web transits over multiple rollers. This explained why the previous research focused more on the experimental exploration without few theoretical validations. The web travels toward the long side continually from one span to the next until a web guide attempts to return the web to an acceptable lateral location in the process machine.

Calibration Technique of Thermal Analysis Model for Metal Additive Manufacturing Process Simulation by Nonlinear Regression and Optimization

A numerical analysis model that can accurately predict the physical characteristics of the actually additive manufactured products can significantly reduce time and costs for experimental builds and tests. Thermal analysis for the metal AM process simulation requires a lot of analysis parameters and conditions. However, their accuracy and reliability are not clear, and the current understanding of their influence on the analysis results is very insufficient. Therefore, in this study, the influence of uncertain analysis parameters on the thermal analysis results is estimated, and a procedure to calibrate these analysis parameters is proposed. By using the thermal analysis results for parameter cases determined by a design of experiments, a regression analysis model is constructed to estimate the sensitivity of the analysis parameters to the thermal analysis results. Additionally, it is used to determine the optimal values of analysis parameters that can produce the thermal analysis results closest to the given reference data from actual builds. By using the melt pool size computed from a numerical model as reference data, the proposed procedure is validated. From this result, it is confirmed that a high-fidelity thermal analysis model that can predict the characteristics of actual builds from minimal experimental builds can be constructed efficiently.