Trade Operations Research Articles

Economic lexis in the Polish language: development dynamics and extent of the influence of non-Slavic languages

The subject of the observation is the Polish economic lexis used in the discourse on economy: agriculture, industry, trade, and financial operations. Its present composiƟtion, with a considerable share of borrowings from English, is an effect of the development of the capitalist socioeconomic formation. New symbols have layered on top of the abundant lexical substratum composed of native units as well as Germanisms and Latinisms, including those of Greek provenance, which has been gradually enriched over the centuries. The aim of the analysis is to identify the development trends in the lexical layer that have evolved into the current Polish economic discourse, with a particular focus on the dynamics, extent, and nature of foreign-language influences. The statistical comparison of the lexical resource of three journalistic texts of similar volumes, representative of successive periods of the development of the economic discourse in the Polish language, permits the ascertainment that the broadest assimilation of non-Slavic components into the Polish economic lexis took place in the 19th century.

INTERNATIONAL COOPERATION IN THE CONDITIONS OF ECONOMIC SYSTEM TRANSFORMATION

The modern world order and geopolitical risks have caused large-scale changes that have spread to all spheres of the economy and the behavior of subjects of socio-economic activity.
 The world market as an integral part of the world economy, on the one hand, is a platform for the exchange between participants in trade operations, based on stable interstate commodity-money relations, on the other hand, it is a sphere of collision of emerging contradictions between participants in market trade and the struggle for competitive markets. Violation of international economic, interregional and intersubjective relations due to changes in the value chain, disproportion in the distribution of value between participants in trade relations limits the possibility of using previously formed mechanisms and instruments of international cooperation and becomes a factor in the search for new points of contact and new partners in the processes of international and interregional interaction.
 The relevance of the study is dictated by the key task of national and international development — the transformation of the economic system, ensuring its stability and viability in the face of turbulence and uncertainty, accumulated experience, opportunities and limitations.
 The scientific novelty of the study lies in the formation of new views on the problems of organizing economic relations among participants in the global market.

An optimal approach to DC multi-microgrid energy management in electric vehicles (EV)

In micro-grids, energy management is described as an information and control system that assures that both the generating and distribution systems deliver electricity at the lowest operating costs. Renewable energy sources (RESs), including electric vehicles (EVs), can be successfully used and carbon emissions reduced by establishing a DC multi-microgrid system (MMGS), which includes renewable energy sources (RESs) and the distribution network. A Multi-Microgrid based Energy Management (MM-GEM) system is suggested to increase the economics of MMGS and minimize the distribution network's network loss. MMG is a network of dispersed generators, energy storage, and adjustable loads in a distribution system that is linked. Furthermore, its operation is deconstructed to reduce communication and control costs with the decentralized structure. “Aside from enhancing system resilience, the MMGEMS substantially impacts energy efficiency, power quality, and dependability". Typical MMGEMS functionality and architecture are shown in detail. This is followed by examining current and developing technologies for monitoring and interacting with data among the MMG clusters. In addition, a wide range of MMG energy planning and control systems for interactive energy trading, multi-energy management, and resilient operations are fully examined and researched. The economic effect of the EVs’ energy transfer over time and place is examined.

The Gold Mining Industry of Magadan Oblast under Sanctions: Risks for the Region

—The introduction of a new package of sanctions in connection with the start of a military operation in Ukraine in 2022 is particularly changing the conditions for functioning of Russia’s gold mining industry, which uses high-performance foreign equipment for mining and sells its output on the global market. The article considers the factors complicating the industry and which have triggered an increase in production costs and decrease in the sale price of gold: a ban on foreign trade operations for the largest partner banks of subsoil users, an embargo by foreign countries on the purchase of Russian gold and import of foreign equipment and spare parts, and the Russian Central Bank’s decrease in the dollar/ruble exchange rate from May 2022 to January 2023. The case of a specific enterprise in Magadan oblast was used to assess the efficiency of placer gold mining under the changed conditions as of July 2022 and the forecast for 2023. Federal and regional measures were proposed to help smooth the severity of emerging problems in the industry and consequences for the economy of this single-resource northern region.

Annual Update on SDR Trading Operations

Annual Update on SDR Trading Operations

WAYS OF IMPROVING TRADE IN JORDAN WITHIN THE FRAMEWORK OF INTERNATIONAL COMMERCIAL LAW

The main purpose of the article is to identify ways to improve the trading system in the framework of the development of international commercial law. The object of research is the trading system and commercial law in Jordan. The scientific task is to form a model for improving the trading system in the framework of the development of international commercial law in Jordan. The main method used in the article is the IDEF3 method, which allows, through a system of flowcharts, to model the directions for improving the trading system in the framework of the development of international commercial law. As a result of the study, the key stages of improving the trading system in Jordan in the framework of the development of international commercial law were identified and characterized, including the use of digital technologies, the expansion of rights and freedoms in trade, and the use of smart contracts. The value of the obtained results lies in modelling and improving the efficiency of trade operations in Jordan taking into account the norms and rules of international commercial law. The limitations of the study concerned taking into account the specifics of trade and law only in Jordan because the author of the article belongs to this country.

Energy management in residential communities with shared storage based on multi-agent systems: Application to smart grids

The evolution towards smart grids (SGs) is mainly characterized by the integration of renewable energy sources (RESs) throughout the grid. The intermittent nature of these sources necessitated the installation of energy storage systems (ESSs) to improve the efficiency and reliability in the power system. Moreover, the ongoing high price of batteries has encouraged the installation of shared ESSs in residential communities. However, managing the shared ESS and the energy flows in the community is considered a key challenge. In order to handle this issue, we introduce a novel energy management system (EMS), namely Energy Management In residential COmmunities with shared storage based on multi-agent systems (EMICO). It finds the optimal energy trading operations between households, as well as the operations of the shared ESS that minimize the total energy losses. We first propose a new cluster-based architecture for the residential community in which we integrate Internet of Energy (IoE) devices to manage energy flows and find the shortest path to transfer energy with minimal loss from a cluster to the other. Then, we model our energy management problem as a constrained optimization problem and we use Lagrange multiplier method to solve it in a centralized way. In order to preserve households’ privacy, we propose a decentralized approach based on multi-agent systems (MASs) to solve our problem. We test our approach on real data traces obtained from a set of households located in the United Kingdom. Numerical results show that EMICO outperforms a literature approach in terms of energy losses (up to 35.66% of reduction in energy losses), electricity bill (up to 21.21% cheaper), number of exchanged messages (up to 83.81% less messages exchanged), and length of required cables (up to 95.03% less cables required).

Aspects of Developing A Methodology for Managing Digital Financial Assets

The purpose of the study is to highlight the key aspects necessary for the formation of a methodology for designing systems for managing trading operations over cryptocurrencies. The methodology of designing digital asset management systems defines a set of rules for using methods, models and algorithms required to build systems that solve the complex problem of managing trading operations over digital economy assets. For this purpose, the dynamics and trends of pricing of digital investment and financial assets are investigated to identify the peculiarities and specific patterns of cryptocurrency, taking into account the mathematical model of issuance in the conditions of a dynamic crypto-asset market, functioning continuously and forming cyclicality and wave structures.Materials and methods. The object of the study is the dynamics of value indicators of the market of digital financial assets and digital currencies. The subject of the study is methods, models and algorithms for automated monitoring and management of digital financial assets and cryptocurrencies. The methodological basis of the research is formed by blockchain technologies, modeling and mathematical statistics methods, artificial intelligence methods. The statistical information base of the research is formed on the basis of the history of Tradingview’s value quotations from international trading exchanges of digital currencies, as well as by Coinmarketcap and Coingecko cryptoasset market integrators. Problems of modeling processes in economic systems are considered, the problem of optimal control is defined. A critical analysis of the state in the tasks of economic modeling is carried out, taking into account the uncertainty caused by social and psychological reasons.Results. The proposed methodology offers a comprehensive solution to the problem of managing digital financial assets and other financial instruments based on blockchain technology. Digital currencies act as the management object of the proposed methodology, the initial information is a vector of parameters that determine the sensitivity of the system to the perturbing influences of the external environment and the requirements for the expected management results. In accordance with the scientific novelty of the research and methodology, a set of interrelated research stages is formed, consisting of an ordered cascade of methods, models and algorithms that perform preliminary analysis, processing and forecasting of financial time series of value indicators.Conclusion. New blockchain technologies and the emergence of Chat GPT (generative pre-trained transformer) pose new challenges to society, which hopes to utilize such solutions, including for economic tasks. With the help of prediction-free methods and artificial neural networks it is possible to design software systems, thanks to which it is possible to increase the efficiency of trading operations at optimal risks in automatic and automated mode of trade execution. The proposed methodology of management with auxiliary intellectual analysis of time series and application of combined method of decision-making allows managing the portfolio of a new asset class of digital currencies based on blockchain technologies. Taking into account the technical similarity of digital currencies with digital financial assets, it is possible to use the methodology also for the creation of digital financial asset management systems.

On the numerical treatment of interlaced target values: modeling, optimization and simulation of regulating valves in gas networks

Due to the current and foreseeable shifts towards carbon dioxide neutral energy production, which will likely result in balancing fluctuating renewable energy generation by transforming power-to-gas-to-power as well as building a large-scale hydrogen transport infrastructure, the trading and transport operations of gas will become more dynamic, volatile, and hence also less predictable. Therefore, computer-aided support in terms of rapid simulation and control optimization will further broaden its importance for gas network dispatching. In this paper, we aim to contribute and openly publish two new mathematical models for regulators, also referred to as control valves, which together with compressors make up the most complex and involved types of active elements in gas network infrastructures. They provide direct control over gas networks but are in turn controlled via target values, also known as set-point values, themselves. Our models incorporate up to six dynamical target values to define desired transient states for the elements’ local vicinity within the network. That is, each pair of every two target values defines a bounding box for the inlet pressure, outlet pressure as well as the passing mass flow of gas. In the proposed models, those target values are prioritized differently and are constantly in competition with each other, which can only be resolved dynamically at run-time of either a simulation or optimization process. Besides careful derivation, we compare simulation and optimization results with predictions of the widely adopted commercial simulation tool SIMONE, serving as our substitute for actual real-world transport operations.

Port congestion under the COVID-19 pandemic: The simulation-based countermeasures

As the hub connecting global production and consumption, ports play a pivotal role in the global maritime supply chain system. The outbreak of the COVID-19 pandemic and its rapid global spread have caused significant port congestion, resulting in skyrocketing freight rates and posing a serious threat to the smooth operation of international trade. Based on the impact of the COVID-19 pandemic, we have developed a novel container port congestion evaluation model by integrating the classical SEIR model, using the system dynamics (SD) theory. In this study, we simulate the impact of different port congestion countermeasures using data from Ningbo Zhoushan Port. The results demonstrate that implementing smart regulations at a high level of epidemic prevention and control is the most efficient approach to swiftly eliminate port congestion. In addition, it is worth mentioning that in the scenarios with a low level of epidemic prevention and control, increasing port investment to optimize smart ports can yield even better effects. Furthermore, we have discussed the impact of factors such as the ratio of infected people, the number of contacted people, and epidemic prevention and control capacity on port congestion index. Hence, we propose that the implementation of advanced smart regulation systems can enhance port operational efficiency and effectively alleviate port congestion. Additionally, amidst the normalization of the COVID-19 pandemic, which has yet to disappear, it is crucial to maintain a vigilant approach to prevention and control to ensure the seamless operation of the port industry.

Effects of an increase in Mexican strawberry exports to Canada on the profitability of pro-ducers in Mexico

Objective: determine the viability of increasing the exported quantity of Mexican strawberries to the Canadian market. Design/methodology/approach: Likewise, a simulated scenario was developed with the purpose of carrying out a forecast on the conditions that may occur to have a more accurate knowledge of the operation of the international strawberry trade between Mexico and Canada. To perform this analysis, the international market was represented in a partial equilibrium model. Results: According to the calculated price flexibility, an increase in the exported quantity of Mexican strawberries to Canada of 50% in one year would cause a positive final effect. With this estimate, it can be established that an increase in the exported quantity of Mexican strawberries to Canada of 50% in one year would be viable in the economic sense. In this simulated scenario, the Benefit/Cost Ratio (B/C R) calculated for the producers of Michoacan, Baja California and Guanajuato would be 1.0865, 1.196 and 0.6856 respectively. Limitations on study/implications: not all products and all states of Mexico are examined. Findings/conclusions: The results showed that an increase in strawberry production to export to Canada in Michoacan and Baja California would be profitable for the producer, while an increase in strawberry production for export to the Canadian market in Guanajuato would further decrease profitability.

MarketTrust: blockchain-based trust evaluation model for SIoT-based smart marketplaces

Due to the significance of trust in Social Internet of Things (SIoT)-based smart marketplaces, several research have focused on trust-related challenges. Trust is necessary for a smooth connection, secure systems, and dependable services during trade operations. Recent SIoT-based trust assessment approaches attempt to solve smart marketplace trust evaluation difficulties by using a variety of direct and indirect trust evaluation techniques and other local trust rating procedures. Nevertheless, these methodologies render trust assessment very sensitive to seller dishonesty, and a dishonest seller may influence local trust scores and at the same time pose a significant trust related threats in the system. In this article, a MarketTrust model is introduced, which is a blockchain-based method for assessing trust in an IoT-based smart marketplace. It has three parts: familiarity, personal interactions, and public perception. A conceptual model, assessment technique, and a global trust evaluation system for merging the three components of a trust value are presented and discussed. Several experiments were conducted to assess the model's security, viability, and efficacy. According to results, the MarketTrust model scored a 21.99% higher trust score and a 47.698% lower average latency than both benchmark models. Therefore, this illustrates that using the proposed framework, a potential buyer can efficiently choose a competent and trustworthy resource seller in a smart marketplace and significantly reduce malicious behavior.

Peer-to-peer energy exchange, autonomy goals, and financial rewards in Saudi Arabia households

Peer-to-Peer energy trading is becoming increasingly essential and attracting a significant centralized transient energy trading market, an optimization model interest from companies and academics. As a result, new methods of creation and implementation have been developed. The deployment of the consumer concept, which combines residential needs with photovoltaic and battery storage systems, has been proposed as a viable approach to promote the integration of renewable energies with neighboring energy consumers' distribution networks. Therefore, this paper presents an innovative group of grid-connected residential consumers and communities that uses an appropriate MILP method to share, organize and schedule surplus energy generated from distributed energy resources (DER) with neighboring energy consumers/deficit. The energy community investigated in this study consists of four consumers (a residential load and two consumers, a solar PV system and a battery storage system), an energy community manager, and an energy seller, all connected to a distribution network. The proposed market model aims to investigate the economic benefits of renewable energy sources participating in centralized transit energy trading. A centralized strategy is used in transit energy trading between 10 proactive consumers and the energy network, with the energy community manager overseeing trading operations in the energy community. In the centralized transient energy trading market, an optimization model is proposed to increase the financial benefits of rooftop solar PV/ESS systems.

A Review of the Book by Pierre A. David, PhD. International Logistics: The Management of International Trade Operations, Sixth Edition

A Review of the Book by Pierre A. David, PhD. International Logistics: The Management of International Trade Operations, Sixth Edition

Construction of a simulation model of goods delivery in international road transportation taking into account the functioning efficiency of logistics supply chain

The object of this study is the process of goods delivery in international road transport using various types of logistics chains. The problem being solved is due to the need to develop recommendations for exporters of goods to reformat or design new supply chains during wartime. The expediency of organizing foreign trade operations by the cargo owners' own forces or with the involvement of enterprises providing logistics consulting services is considered. A simulation model of goods delivery in international road traffic was built and implemented in the GPSS World simulation automation package. The model involves the optimization of organizational and technological processes related to the activity of both a separate link and the entire supply chain. The study takes into account the components of the time characteristics of the performance of preparatory work when establishing cooperation with institutions and organizations, as well as the direct service of the exporter. The application of the developed model in practical activities will provide an opportunity for exporters to obtain information about the duration and reliability of the stages of a foreign trade operation and the feasibility of involving consulting enterprises in cooperation. At the same time, the simulation results reflect the performance indicators of the proposed supply chains when delivering goods by road transport along various routes. The proposed simulation model will make it possible to reduce the time spent searching for links in the formation of a supply chain by 8–12 %, and the duration of a foreign trade operation by 10–14 %. Thus, the reliability of cooperation with intermediary organizations will increase by 8–11 %

A Study on the Chain Effect of Russia-Ukraine Conflict on the Economic and Trade Operation of China, Japan and South Korea

A Study on the Chain Effect of Russia-Ukraine Conflict on the Economic and Trade Operation of China, Japan and South Korea

ABOUT FOREIGN EXPERIENCES ON EFFECTIVE MEASURES FOR THE MANAGEMENT OF TAXATION OF FOREIGN TRADE OPERATIONS

In the article, the possibilities of using foreign experiences regarding the effective management of the practice of taxation of foreign trade operations at the current stage of economic liberalization and modernization in the Republic of Uzbekistan are scientifically substantiated.

The use of innovative technologies in the distribution of goods on the example of the Irkutsk supermarket "SLATA"

The trade and technological process is analyzed on the example of the store "Slata". The range and level of use of innovative technologies in the distribution of goods are studied. A sociological survey of consumers' attitude to trading operations has been carried out.

Оценка и перспектива развития внешнеторговых операций в национальных валютах.

The article considers issues related to importance of exports and imports for the Russian economy as a development factor in the face of uncertainty and sanctions pressure, as well as the prospects for reorienting of foreign trade operations from west to east.

Traditions and innovations in nutrition of the Sysolsky Komi in the first half of the 20th century

Based on the analysis of original field materials, a characteristic of traditions and innovations in the subsis-tence system of Sysolsky Komi living in the southern regions of the Komi Republic has been provided. By the beginning of the 20th c., the most successful model of the integrated economy was formed among the Sysolsky Komi of the southern regions, which, along with agriculture and animal husbandry, retained hunting and fishing. Natural and climatic conditions did not always allow a good harvest of grain crops, and their shortage was com-pensated through trading operations, while hunting and fishing activities provided the opportunity to purchase grain. The basis of nutrition was cereals, from which bakery products, porridges, soups and drinks were prepared. Dishes of meat, dairy and fishing/hunting products were not served often, which was associated with the practice of observing Christian fasts, the number of which exceeded 200 days within a year. The forest products provided the overall diversity to the diet and in particular nutrition with a vitamin complex. The technology of cooking was predetermined by the presence of an oven which can bake, boil, stew and deep fry, while frying as a cooking method would be difficult to perform. The formed grain-meat-dairy model of nutrition with the inclusion of hun-ting/fishing products and wild plants is close to the cuisine of the Priluzsky Komi in terms of the composition of raw products and dishes, which can be explained by the territorial proximity of their habitats. However, a unique phenomenon of the Sysolsky Komi is the preservation of the practice of baking ritual Christmas cookies. Socio-economic transformations in the country in subsequent years brought innovations to the food culture. The main role in the food provision of a family with was played, as before, by subsidiary farming; crop yields and livestock productivity were significantly higher than in the collective farm-state system. The increase of areas for potato cultivation and the reduction of areas for crop cultivation led to the replacement of grains by potatoes. Hunting and fishing products was significantly reduced in the diet. Innovative practices included the method of salting shredded cabbage, as well as the practice of cooking freshwater fish with potatoes in milk sour cream sauce, and brewing purchased dry-salted cod. The nutrition model during the Great Patriotic War can be defined as potato and vegetable with the inclusion of wild plants, and natural resources made it possible to keep the minimal level of food consumption during this period. In fact, produce from the forest allowed a minimum level of product con-sumption, while innovations in food traditions became means for overcoming crisis periods in food supply.