Digital Technologies in Logistics and Infrastructure

Frontmatter

Methods of Recognition and Classification of Objects in Digital Logistics

Abstract

The actual problem of digital logistics of recognition and classification of objects – vehicles from video cameras of the road network is considered. The purpose of recognition and classification is to detect trucks and cars for solving the logistic problem of analyzing the density of freight traffic from video cameras. To solve the problem in the work, we analyzed the classical methods of machine learning: “neural differential equations”, “decision tree”, “gradient amplification trees”, “logistic regression”, “Markov model”, “naive Bayesian”, “nearest neighbors”, “random forest”, “machine support vectors”. The authors proposed a new method of autonomization of neural differential equations, which allows to increase the accuracy and productivity of recognition and classification. For recognition and classification methods, the accuracy, computation time, training time, memory size for training, and computation speed are examined. Comparative analysis of the methods is carried out based on a computational experiment for datasets of nine hundred objects. The computational experiment shows an increase in the speed of learning and computations for neural differential equations using the autonomization method. The “neural differential equations” method, using the autonomization method presented by the authors, can reduce the training time of the neural network and the memory size for the classifier compared to other traditional methods. Application of the autonomization method for the “neural differential equations” in recognition and classification problems is optimal from the point of view of speed and accuracy of calculations in digital logistics.

Igor Anantchenko, Tatiana Zudilova, Sergei Ivanov, Nikita Osipov, Irina Osetrova

Prospects and Opportunities for Green Logistics Development in Russia

Abstract

The article presents the results of the research on the specifics of green logistics development and its impact on the environment. A study of approaches to define the term “green logistics” has been conducted, its importance and need for development at the current stage of economic development has been determined. The problems and prospects for green logistics development in Russia are identified through the lens of its key functional areas: supply, production, transportation, warehousing and distribution. The key reasons for applying green logistics fundamentals in managing logistics supply chains for the state, society and people involved in the logistics supply chain are also outlined. Implementing the actions to develop green logistics in Russia which were defined in the article should form the base for the strategic goal to ensure the domestic logistics industry competitiveness and has the capacity to guide legislative initiatives, create economic and organizational environment, and introduce best practices and innovative solutions into environmental logistics management. The article determines that the compliance of the Russian logistics system with international environmental requirements and standards will not only ensure its competitive edge in the international trade, but will also give an opportunity to become a fully entitled partner in Europe-Asia supply chains due to separate link efficiency, including international transport corridors.

Vladimir Kobzev, Maxim Izmaylov, Abdelwahab Mahmoud Nagaty

Ice Reconnaissance Data Processing Under Low Quality Source Images

Abstract

The ice reconnaissance task is extremely important for maritime logistics in high latitudes as the results of its solution are the basis for the development of rational ship routes in high latitudes areas. The intermediate result of ice reconnaissance is a huge corpus of aerial survey data of poor quality. Since the amount of aerial survey data is extremely high, it is necessary to ensure the maximum efficiency of its data processing under low quality source images. The paper considers the issues of highly efficient automation of ice reconnaissance data processing based on the use of machine learning methods. In particular, the problem of automatic classification of the sea-ice floe size distribution (FSD) type for a three-class model based on aerial survey data is solved. The case of low-quality images is considered, which a usual situation is for meteorological conditions of the Far North. We have proposed a new classification method of FSD type based on aerial survey data processing using machine learning methods which is quite effective for low quality images processing. Also, an original feature space, which ensured the efficiency of this classification method, was proposed. The method has shown its high efficiency in testing it on Data Set, compiled from real low quality images (high blurriness, fuzziness, presence of meteorological disturbances). The developed algorithm is based on multi-class SVM and is extremely undemanding to computing resources, so it can be placed onboard an ice reconnaissance UAV.

Andrey Timofeev, Aleksander Titov, Denis Groznov

Assessment of the Impact of the Level of Railway Tariffs on the Evolution of Cargo Supply Chains

Abstract

The objective of the paper is to quantify the impact of rail tariff levels on the evolution of freight supply chains. The following methods were used: econometric modeling, comparative method, analysis, statistical method, systemic method. Using econometric modeling and comparative calculation, a quantitative assessment was made of the impact of the level of freight railway tariffs on the evolution of supply chains in terms of changing one mode of transport to another on the example of transportation of oil cargo and coal in the Russian Federation; additional comments were formulated to the conclusions of the obtained assessment; recommendations for further refinement of the results of the econometric assessment have been developed. The results of the research can be used to optimize tariffs for rail transport in the face of constrained supply chains of goods, as well as for further research in the field of the evolution of supply chains of goods and pricing in rail transport.

Yuriy Egorov

Stochastic Operational Logic for Berths Throughput Modelling of Export Coal Terminal

Abstract

The commercial stability and competitiveness of marine terminals largely depends on the correct choice of the input values of technological parameters, the calculation of which should be carried out by new methods with such tools as flexible probabilistic calculations and simulation technologies. For marine side of export coal terminals the functional logic and operations in numbers are described. Data mining and analysis approaches make it possible to form a holistic picture for shiploading operations and downtime, which are taken into account within the “ignorance” coefficients in the Russian regulatory framework for the technological design of seaports. For marine terminals, is the value in deep understanding of the operational factors, which are hidden in coefficients. The considered detalisation of the processes can be used as a tool for creating more accurate methods for calculating the throughput for marine side, using mathematical modelling. That allow to achieve the transparency in the relationships “client – contractor” and form the results in terms of the most probable values of throughput and the potential to increase the cargo turnover.

Nikolay Kuptsov, Alexander Kuznetsov

New Approaches to the Economic Assessment of Transport Projects in the Context of Changing Urban Mobility

Abstract

Nowadays, significant changes are taking place in urban transport systems. They are connected, on the one hand, with the growing demand of the population for transportation, on the other hand, with the change in the structure of the supply of transport services, the emergence of new forms of urban mobility, new business models of transport companies. In addition, digital technologies are developing rapidly, and the scope of their application in transport is expanding. Under these conditions, traditional methods of the economic assessment of transport projects are losing relevance. At the same time, most of these projects are implemented using various forms of public-private partnership. This leads to the need for a cost assessment of the social effects and benefits resulting from the implementation of transport projects. The article substantiates the need to supplement the existing methods of economic assessment of transport projects. The authors systematized the social effects in transport projects and analyzed the available methods of their assessment. It is proved that there is a problem of accounting for some social effects due to the lack of an adequate methodology or the impossibility of valuation. As an example, the assessment of social effects in the project of construction of a transport hub is given. Taking into account the social effects, the structure of the sources of financing of the project implemented with the use of public-private partnership is proposed.

Elena Volkova

Digitalization and Data Driven Logistics at Dutch Logistic SMEs

Abstract

Dutch logistic Small and Medium Size companies (SMEs) are lagging behind on the field of digitalization. They concentrate on operational processes, which are obstructed by the increasing influx of data, that they have trouble processing, especially if there are disruptions, such as the consequences of the COVID-19 pandemics. This paper contains a brief literature review on the topics digitalization in logistics and data driven logistics providing definitions and an exploration of the field. The paper concludes that the notion data driven logistics does not exist in the literature. The papers treating data driven applications in logistics contain analyses on a high abstraction level, which are not suitable for SMEs. Based on the literature it is concluded that digitalization both starts and ends with the definition of a digital strategy, which means that it should have a circular model. Further, the paper proposes an applied research methodology to explore the problem of lack of digitalization at SMEs by performing a scan of Heeroma et al [1], the Digiscan of evofenedex and searching for solution at the platform Datagids. These sources are found in the gray literature. The author poses a question on how to proceed with the research when digitalization is to be assessed instead of the company level on the supply chain level, which should be a subject of future research.

K. M. Paardenkooper

Conventional and Digital Technologies Convergence as an Additional Advantage in Ensuring of Supply Chain Counterparties Economic Growth

Abstract

Hybrid business models of digitalization are relevant for most companies at the stage of digital transition, since digitization of business models occurs partially, digitalization projects are implemented in close connection with traditional technologies, previous ways of providing consumers with a value proposition, and it is often impossible to implement digital projects in isolation from traditional ways of organizing the provision of services. Business faces not a full-fledged digitization of business, but a partial or so-called hybrid model. The article proposes the definition of a hybrid model of digitalization, substantiates the economic advantages, as well as the risks and threats of additional losses during the introduction of hybrid digitalization models, offers a combined matrix-scheme of the effects of digital transformation projects of the Russian Railways Holding and the parameter “degree of project hybridization”. Based on the method of analyzing hierarchies for a separate sample of projects, the technology of ranking them according to the multicriteria principle, taking into account the degree of hybridization parameter, is shown. The methods of descriptive diagnostics, content analysis, hierarchy analysis and a number of others were used. The results are useful for companies’ management to understand the essence of transitional – hybrid models within the framework of corporate digitalization projects and programs.

Ilia Gulyi

Development of Rail Container Transportation Based on Mobility and Logistics Efficiency

Abstract

Increasing the level of containerization in Russia is a source of competitiveness growth, since it focuses on increasing the efficiency of nationally oriented logistics and integration into global logistics chains, ensures transparency and productivity of the transport and logistics sector. The negative consequences caused by COVID-19 have affected freight transportation by all modes of transport. The reaction of carriers to the existing challenges largely determines the trajectory of development not only of railway container transportation, but also the format of the development of Russian cargo traffic for the coming years or even decades. The purpose of this study is to develop measures to increase the mobility of container cargo turnover on Russian railways and indicative designation of possible effects from their implementation. We prove that the development of infrastructure, stabilization of tariff policy, optimization of operational activities, expansion of the digital platform significantly affects the qualitative and quantitative development of rail container transportation based on mobility and logistics efficiency. The methodology of the study is based on the analysis of the target indicators of containerization of Russian railways for 2010–2020, the main product line of container transportation and competitors of the railway by means of transport. As a result of the study, trends in the growth of the share of container cargo turn-over on the Russian railway network are determined, the support of digital tools is justified in order to increase the mobility of container cargo turnover, a set of mechanisms for supporting and developing railway container transportation based on mobility and logistics efficiency is proposed.

Liana Chechenova

Two-Level Algorithms as Part of Digital Logistics Platforms

Abstract

Transfer of logistics to work in modern concept of digital transport corridors implies optimization of commodity flows processing process. Nodes play an important role in the network structure of logistics chains. From the condition of economic expediency, multi-stage or multi-level distribution subsystems are used for effective work today. The paper presents the results of a study aimed at developing mathematical models of complex multilevel nodes of logistics networks. Algorithms have been obtained that form the basis of the software of decision-making systems as part of digital platforms. Their application makes it possible to more accurately solve the problem of organizing a multi-level system of warehouse and distribution nodes of the logistics chain. Since conventional deterministic models are ineffective in the conditions of market uncertainty characteristic of modern commerce, more complex scientifically based methods are used. Methods of the theory of stochastic processes, simulation modeling, and theoretical optimization methods are used to find a solution. The relevance of the work is due to the formation of a large-scale segment of third-party logistics in the Industry 4.0 concept.

Sergey Sergeev, Sergey Krasnov, Vladimir Bakharev, Elizaveta Tereshchenko

Digitalization of Oil Refining Process (Fuel Gas Flow Rate for Hydrotreatment)

Abstract

Oil refining processes require large quantities of fuel gas. For rational consumption of fuel gas, digitalization of fuel gas consumption is required. The object of the study is the hydrotreating process. The subject of the study is digitalization of fuel gas consumption during hydrotreating. Main research methods: analysis, comparison, econometrics methods. The authors considered the process of hydrotreating diesel fuel. The authors applied reliable statistics from the refinery. Box-Jenkins methods were applied to the obtained time series of specific fuel gas consumption to construct a forecast model of fuel gas consumption during hydrotreatment. The obtained fuel gas flow model will allow predicting the fuel gas flow rate depending on the planned load of the hydrotreating unit. Fuel gas flow control will reduce the cost and price of diesel fuel. Accordingly, reducing the transport component will reduce the prices of goods for which transportation is needed. The further direction of the study is to draw up forecast models for fuel gas consumption at other plants of the enterprise.

Valentin Nikonorov, Igor Ilin, Aleksandr Titov, Andrey Timofeev

Prospects of Multimodal Container Transportation in Russia

Abstract

The article discusses the fundamental approaches of different countries and economic communities to the formation of the concept of multimodal transportation. The analysis made it possible to identify fundamental differences in the organization of technological systems for transporting goods in containers. The reasons for the slow containerization of domestic transportation on the territory of the Russian Federation are identified and proposals for the construction of new multimodal container transportation routes based on the use of medium-tonnage containers as a link in the technological process of transferring goods from inland transport to sea container lines are considered.

The paper presents mathematical dependencies connecting quantitatively the need for sea line containers and the need for medium-tonnage containers when expanding the hinterland boundaries of a sea container terminal. The solution of the famous scientific problem is demonstrated by the example of calculating the need for new means of enlargement to ensure an increase in the cargo flow of the sea line.

According to the results of calculations, it is emphasized that it is advisable to start expanding the boundaries of the application of the advantages of container technologies into the depths of the country by introducing new means of cargo consolidation with the development of the cargo flow of small (combined) shipments.

Oleg Izotov

Application of Digital Twins for Digital Transformation of Oil and Gas Enterprises

Abstract

Currently, there is an active discussion around hydrocarbons as a source of energy. But taking into account the fact that at the moment the continuation of their use is not in doubt, it is important to improve the efficiency of energy companies - environmental, economic, etc. One way to do this is through the digital transformation of the enterprise. This article focuses on the use of digital twins in the oil and gas industry in order to improve the economic and environmental efficiency of oil production. The algorithm of application of the digital twin in the oil and gas enterprise is considered, its architecture is built taking into account the specifics of the task. The place of the digital twin in the models of technological and business processes is defined. Predictive analytics of equipment repairs, reconstruction, maintenance, modeling, remote maintenance, reduction of human factor influence allows to increase efficiency and safety of oil and gas production. The digital twin will make it possible to simulate various failure scenarios in operation, environmental impact, wear rate of parts, etc. Further research is expected to consider expanding the use of digital twins, both in oil production and in related areas, including hybrid scenarios for power systems.

Anastasia Levina, Sofia Kalyazina, Daria Levaniuk, Andrey Zaitsev

The Use of Unmanned Aerial Vehicles in Healthcare Logistic: Risks and Opportunities

Abstract

In this paper, the authors analyze the application of unmanned vehicle technologies in various industries, including healthcare. The risks and possibilities of using such technologies are analyzed. The authors propose to consider the application of such technology from the point of view of key medical concepts such as the delivery of goods (medicines), organs. Also, paper Describes the world practice of introducing drones in the healthcare sector in countries such as the USA, China, Korea, Canada. The authors formulate a motivational expansion model for internal and external drivers necessary to understand the purpose of using unmanned aerial vehicle technologies.

Victoria Iliashenko, Oksana Iliashenko, Maksim Ivanov, Ekaterina Lukianchenko, Yekaterina Kovaleva

Improvement of Information and Communication Activities of Participants in Supply Chains Using Corporate Portals

Abstract

The article substantiates the expediency of using corporate portals to optimize the business processes of interaction between distributors and contractors. These systems allow increasing the level of sales by improving business processes, freeing up working time for employees, creating a new channel for interaction with partners and increasing customer loyalty. The authors identified the main directions of digitalization of economic entities in the pharmaceutical industry, identified trends in the development of communications for participants in supply chains in the modern economic environment and growing competition. The paper presents the results of a project for the development and implementation of a corporate portal for a distributor of the pharmaceutical market. Based on the analysis of business processes, the company’s problems with interaction with counterparties were identified, a project management plan was drawn up, including the organizational structure of the project, a matrix of responsibility of its participants, a project communications management plan, and a register of risks. The analysis of the implementation results is carried out and recommendations for its practical implementation are given.

Olga Rostova, Svetlana Shirokova, Anastasia Khrykova, Anastasiia Shmeleva

Decision Aid Digital Instrument Within Arctic Maritime Logistics During Polar Night

Abstract

In the article, there are considered decision aid digital instrument development results for arctic maritime logistics during polar night under climate change and COVID-19 pandemic within Industry 4.0 era. In research, there are used risk management, situational analysis, web technologies and building database methods in distributed networks. As the research result, it is proposed the using of geodata from the active remote sensing and supercomputer modelling to increase the efficiency and reliability of arctic maritime logistics during polar night within the global environmental economics. As the decision aid digital instrument, it is proposed to use modular decision aid system, which integrate the heterogeneous hardware and the software resources in distributed networks. As the research results, there are demonstrated examples for arctic maritime logistics in central and eastern Russian Arctic during polar night. Presented in this paper study results have scientific novelty and can be used by the different players, including energy export sector, insurance business and institutional investors.

Valery M Abramov, Igor Sikarev, Sergey Lukyanov, Ekaterina Rumiantceva, Alexander Chusov, Oksana Petrieva

Using Digital Solutions in Railway Logistics: The Experience of Medium-Sized Businesses

Abstract

At present, the state policy in the field of digital technologies confirms the concern about the digitalization of all sectors of production and industry, including the transport and logistics complex. At the same time, the creation of an ecosystem of the digital economy in Russia implies that digital data is a key factor of production in all spheres of socio-economic activity. In the article, in order to achieve the goal of increasing the efficiency of organizing the business process of transportation activities, the need to expand the possibilities of introducing automated systems that support the adoption of effective management decisions is substantiated. As an example the article demonstrates of the use of digital solutions, that have proved their effectiveness based on THE experience of medium-sized businesses, their advantages and disadvantages are indicated, the article provides analytical data from the logistics company Liter-Trans (including the results of cooperation with the German company German Transport Engineering, which is engaged in multimodal transport design throughout the world), and also substantiates the need to create and use not only IT systems that are adequate to the realities, but also the implementation of “end-to-end” IT technologies, based on the principle of complementarity and unity of infrastructure, ensuring the network interaction of business processes and the creation of value chains for all participants in the transportation process, which will improve the quality of logistics services and the efficiency of the environment for doing a business.

Alexander Faustov, Olga Chemeris, Kristian Halada

Implementing Multi-agent System for Dispatch and Control of Emergency Medical Care Ambulances to Enhance Emergency Response Effectiveness and Quality in Saint-Petersburg

Abstract

In this paper, the authors propose an implementation of Multi-Agent System to support and enhance service quality and effectiveness of dispatch and control of Emergency Medical Care ambulances and reception. This work explains how such multi-agent system can function by monitoring, operating and cooperating with traffic control solutions in case of Saint-Petersburg, Russia. The description of MAS is given, as well as the main factors enabling its development in healthcare. Despite the fact that the state of the healthcare system in Russia does not allow talking about the imminent introduction of an autonomous system of this kind, it is necessary to consider increasing the efficiency of the ambulance team in the case of using innovative technologies, and provide a theoretical basis for future enhancements. The article also discusses aspects of ensuring the safety of personal and medical data of patients in the process of providing them with medical care and in the processes of information exchange between various agents of the proposed system.

Victoria Iliashenko, Ekaterina Lukianchenko, Artyom Zheleznyak, Nadia Lohyeeta

Modelling the Berths Throughput of Export Coal Terminal with Stochastic Methods

Abstract

Transportation research is devoted to stochastic processes and throughput modeling for marine side of coal export terminals. The difference in calculated and operational throughput (in Russia is 2–3 times difference) is significant problem for investors and the price of port handling. Operating experience has been accumulated over the past decade, which can be the basis for more efficient simulation calculations. The operations structure, bulk vessels, port planning and design in the proposed stochastic model is detailed and based on the existing terminal in the Far East of Russia (Daltransugol) in the period up to 2018. The dataset is highly elaborate and includes operations of handling equipment, vessels, port services and downtime due to weather conditions. Assumptions about the initial data are based on probability distributions of the mathematical model. The average result (probability P50, median) is the throughput of 20.47 mln t/year, optimistic (P10) – 24.94 mln t/year, and pessimistic (P90) – 15.75 mln t/year. The range of the results is adequate, given that the actual cargo turnover of the existing terminal ranged from 17.0 mln t in 2015 to 20.1 mln t in 2018. The novelty of probabilistic operational statistics and efficiency issues, which in details are demonstrated in numerical experiment, could be the planning clarification for new upcoming projects and support for decision-making problems for existing coal terminals to maximize the throughput. Important finding, this could be done by searching of big non-operational losses (absence of coal in storage area, absence of fleet, change of conveyor routes, etc.).

Nikolay Kuptsov, Alexander Kuznetsov

Evolution of Supply Chains in the New Digital Reality

Abstract

The article is devoted to complex research in the process of digital transformation of global supply chains. The author focuses main attention on the specifics of the creation and functioning of such structures. The ultimate goal of the logistics industry transformation is to change the role of the digital information flow, its transformation into a tool for organizing and managing logistics systems of a new type, which scale will allow to effectively solve not only economic but also urgent environmental and social problems. As a research problem, the author defined an attempt to analyze the nature of structural changes taking place in the logistics industry and highlight the key factors of influence. The basic content of the research is analysis of the role of global supply chains in the new digital reality and the problems that arise in the process of their creation. Special attention is given to determining the place of information systems in the structure of digital supply chains.

Evgenii Artemenko, Elizaveta Tereshchenko

The Significance of the Economic and Human Potential of the Yamalo-Nenets Autonomous Okrug for the Scenario Development of the Russian Arctic

Abstract

One of the toughest challenges that Russia faces today is the need to adopt policies that would help the country to solidify its positions in the Arctic region. Progressive development of this region will allow the Russian Federation to protect its national interests. The present study is aimed at predicting the scenario development of the Yamalo-Nenets Autonomous Okrug (YNAO), the Arctic through the prism of its economic and human potential. The YNAO performance is analyzed according to the target indicators of “The 2035 Development Strategy of the RF Arctic and National Security Provision”. The following ones are the indicators that reflect the economic performance of the region: the proportion of households that use broadband Internet against the total quantity of households in the Russian Arctic; the proportion of gross regional product (GRP) produced in the Arctic against the total amount of GRP produced by the country; the share of investments made into fixed capital in the Arctic zone against the total investments made in the RF, etc. Human potential is evaluated using indicators such as: life expectancy of those born in the Arctic; the average salary of employees working for organizations that operate in the Arctic. The findings of the research study cover the possible scenarios of further development of the YNAO drawing on the current situation, reveal the dynamics of the target indicators and describe some new fuel and energy, infrastructure and tourist projects the region implements.

Dmitry Skipin, Yulia Yukhtanova, Tatiana Koltsova, Oksana Lazareva, Djamilia Skripnuk

Artificial Intelligence in Aviation Industry

Abstract

Artificial Intelligence is rapidly developing and being introduced into an increasing number of industries, such as medicine, agriculture and construction. This trend has not ignored the aviation industry, but it is only in its infancy. This article focuses on the technological perspectives of the aviation industry and their potential impact on the development of the industry. This research will allow the reader to gain a better understanding of the application of artificial intelligence-based technologies in the aviation industry. The article provides a proper analysis of both technologies already developed and those in the project stage, allowing the reader to gain a complete understanding of the aviation technology sector, especially within the aircraft operating stage. It discusses how the introduction of advanced technology can solve the major problems currently facing the industry, such as: high maintenance and refueling costs and environmental pollution. One of the most promising technologies for autonomous aircraft piloting is analyzed and potential areas of its application are investigated. Both the already existing spheres, within which it can be used to improve the efficiency of tasks, and the areas that may form in parallel with the final approval and launch of this technology, such as autonomous air taxis, air transportation of small and large-sized cargo, are considered, and the main problems and barriers of their implementation at the current time are presented.

Daniil Ivanov, Ekaterina Pelipenko, Alena Ershova, Andrea Tick

Data Management in the Offshore Wind Farm System

Abstract

The paper analyzes the problems of construction and operation of offshore wind farms focusing on their design, remoteness to the location, transportation and installation. The main problem considered in the work is the timely maintenance and repair of offshore wind turbines in the Arctic region and minimization of accidents and environmental damage. The aim of the study is to develop a data management model of wind turbines to minimize emergency situations. Simulation of design, transportation and installation of offshore wind farms is performed by an alternative graph in conditions of multi-variant structure components. The approach proposed for determining the value of particular indicators is based on simulation modeling. An agent-based approach is used assigning agents to the system objects and building relationships between these agents. Modeling was carried out in the Anylogic program.

Nikolay Didenko, Djamilia Skripnuk, Sergei Kulik, Natalia Anosova

Effective Management of Multimodal Logistics in Russia

Abstract

Digital technology has firmly entered our daily lives, and it is almost impossible to imagine life without it. Considering autonomous transportation vehicles and the degree of heterogeneity of traffic flows, it is reasonable to say that their share will only increase in the coming future, which will naturally initiate further growth in the intellectualization of vehicles and transportation infrastructure to ensure their efficient management and improve the quality of services provided. As a process, logistics continues to become more complex due to the growing demand for sophisticated information and communication systems. The challenges of developing transportation systems are more relevant than ever in Russia’s market environment. And the problem of digitalization of multimodal transportation systems in Russia is becoming more and more acute. The demand for multimodal transportation is growing every year, and the potential for the development of multimodal cargo transportation schemes in Russia is very high. Considering successful cases in various industries, we can assert the feasibility of implementing multimodal transportation systems in Russia.

Anastasia Levina, Konstantin Frolov, Nina Trifonova, Andrea Tick

Arctic Port Activity Management Digitalization in Ice Season

Abstract

In the paper, there are presented digitalization development results for Arctic port activity management in ice season within Industry 4.0 period under climate change and COVID-19 pandemic. In study, there are used situational analysis, web technologies and building database methods in distributed networks. As the research result, to increase the efficiency and reliability of port activity management in ice season within environmental economics, it is proposed the using of geodata from remote sensing and modelling. As the digital managerial support instrument, it is proposed to use aggregate modular managerial decision support system, which integrate the heterogeneous hardware and the software resources in distributed networks. As the research results, there are demonstrated examples for arctic ports in the area of the Ob and Yenisei rivers. The research results presented in this article has significant scientific novelty and can be useful to different players within Arctic port activity management in ice season, including insurance business.

Valery M. Abramov, Christiane Schmullius, Sergey Lukyanov, George Gogoberidze, Alexandra Borremans, Oksana Petrieva

Usage of IT Solutions by the Members of the Supply Chains on the Example of Pharmaceutical Market

Abstract

This article discusses the influence of digitalization on procurement and logistics on the example of automation systems. This trend has caused several changes in the SCM and CRM systems which now offer more features than they did years ago. Nowadays they go above and beyond traditional customer relationship management and are of great help to all the people involved in a supply chain management during all of the stages from procurement to operations management and delivery to consumers. The latter one will be emphasized on in the paper. The use of CRM has broadened. Nowadays it is widely used in all of the spheres including logistics. The use of CRM and Power BI for logistic companies is explained and illustrated in the article on the example of a pharmaceutical company. Moreover, the trends appeared under the pandemic circumstances will be considered.

Svetlana Shirokova, Anastasiia Prosvirnina, Olga Rostova, Hussam N. Fakhouri

In-Store Personal Navigation and Dynamic Pricing

Abstract

This paper contributes to the existing field of research about self-organized logistics (SOL). Self-organized logistics is a system that consists of agents that rely on strong horizontal connections rather than on vertical ones while executing tasks. The agents do this without strong intervention of humans or a controlling software. SOL can be utilized in retail as an enhancement to customer experience in store. Self-driven smart carts equipped with sensors can provide guidance and assist shoppers.

Elizaveta Pliushch, Irina Ponomarenko, Dayana Gugutishvili, József Tick

Digitalization of Corporate Logistics Processes in the Architecture of Large Industrial Enterprises

Abstract

Corporate logistics is one of the most difficult areas of economic activity of any large industrial enterprise. It forms complex material flows in industrial production, which affect almost all production management functions and are accompanied by financial and information flows. Thus, the processes of digitalization of logistics cannot be considered separately from the processes of digitalization of the enterprise as a whole. The paper discusses the organizational and economic features of building a business model of logistics processes at an industrial enterprise, its place in the business architecture of an enterprise, analyzes the possibilities of using an architectural management model in logistics. An architectural approach to building a business model for internal and external logistics of a company is proposed, within the framework of which internal and external information and organizational communications of logistics with the most important functions of production management are analyzed. The characteristic of modern methods and models of management of corporate logistical processes is given. Some features of building a system architecture for an enterprise that support a logistics business model are also noted. An information and service model for supporting corporate logistics is proposed and a description is given of the main information technologies and digital platforms that allow integrating the business processes of all participants in the corporate logistics network into a single architecture that ensures efficient management of corporate logistics.

Alexey Anisiforov, Sofia Kalyazina, Elizaveta Tereshchenko

The Architecture of IT Services of an Oil Refinery Information Systems

Abstract

An oil refinery is a compound process manufacturing complex that requires effective activity support by the information systems and technologies at all the levels. This article describes the functional requirements and the top-level architecture of IT services of an oil refinery enterprise information systems. The methodological basis of the article is a service-oriented approach to the design of management systems and their IT support.

Igor Ilin, Nikolay Koronatov, Alissa Dubgorn, Polina Rukina

Backmatter