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Dr. Sergey Sergeev
Peter the Great Saint Petersburg Polytechnic University

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Research Keywords & Expertise

0 Mathematica
0 Mathematical algorithm
0 econometric
0 Mathamatical modeling
0 Logistic and supply chain management

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Journal article
Published: 18 August 2021 in Sustainability
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Globalization has given a powerful impetus to the development of international commercial activity and logistics management systems taking full advantage of cross-border networking. The solution lies at the intersection of information technologies, technical means of machine-to-machine (M2M) interaction, mobile high-speed networks, geolocation, cloud services, and a number of international standards. The current trend towards creating digital logistics platforms has set a number of serious challenges for developers. The most important requirement is the condition of sustainability of the obtained solutions with respect to disturbances in the conditions of logistics activities caused not only by market uncertainty but also by a whole set of unfavorable factors accompanying the transportation process. Within the framework of the presented research, the problem of obtaining the conditions for the stability of solutions obtained on the basis of mathematical models is set. At the same time, the processes of transferring not only discrete but also continuous material flows through complex structured networks are taken into account. This study contains the results of the analysis of the stability of solutions of differential systems of various types that simulate the transfer processes in network media. Initial boundary value problems for evolutionary equations and differential-difference systems are relevant in logistics, both for the discrete transportation of a wide range of goods and for the quasi-continuous transportation of, for example, liquid hydrocarbons. The criterion for the work of a logistics operator is the integral functional. For the mathematical description of the transport process of continuous and discrete media, a wide class of integrable functions are used, which adequately describe the transport of media with a complex internal rheological structure.

ACS Style

Sergey Evgenievich Barykin; Larisa Nikolaevna Borisoglebskaya; Vyacheslav Vasilyevich Provotorov; Irina Vasilievna Kapustina; Sergey Mikhailovich Sergeev; Elena De La Poza Plaza; Lilya Saychenko. Sustainability of Management Decisions in a Digital Logistics Network. Sustainability 2021, 13, 9289 .

AMA Style

Sergey Evgenievich Barykin, Larisa Nikolaevna Borisoglebskaya, Vyacheslav Vasilyevich Provotorov, Irina Vasilievna Kapustina, Sergey Mikhailovich Sergeev, Elena De La Poza Plaza, Lilya Saychenko. Sustainability of Management Decisions in a Digital Logistics Network. Sustainability. 2021; 13 (16):9289.

Chicago/Turabian Style

Sergey Evgenievich Barykin; Larisa Nikolaevna Borisoglebskaya; Vyacheslav Vasilyevich Provotorov; Irina Vasilievna Kapustina; Sergey Mikhailovich Sergeev; Elena De La Poza Plaza; Lilya Saychenko. 2021. "Sustainability of Management Decisions in a Digital Logistics Network." Sustainability 13, no. 16: 9289.

Journal article
Published: 07 February 2021 in Journal of Open Innovation: Technology, Market, and Complexity
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Optimizing the cargo flows through the nodes of a digital transport corridor is a crucial problem; solving it allows to introduce modern management methods in logistics. This study examines the optimization of the technology of a distribution center as the base node of a third-party logistics network operator. Our objective consisted in theoretically substantiating the application of mathematical formalisms to describing the passage of stochastic goods flows of a complex structure through a node of a logistics network. To solve the problem, we constructed a mathematical model intended as a decision-making block in the Warehouse Management System software. This paper presents the results of calculations carried out using a computer according to the proposed algorithm. Preliminary results allow to conclude that there is a significant resource for reducing construction and maintenance costs of the distribution center. Quantitatively, the savings will range from 10% to 40%, depending on the terms of delivery of goods and the degree of market uncertainty. An example of a practical calculation using the developed mathematical model is given. The calculations were performed for Huawei, a key global provider of ICT infrastructure and smart terminals. The algorithms were designed to account for uncertainty, which allows to use the results for risk management applications. In practice, this theoretical concept can serve as a basis for digital logistics platforms, increasing the speed of delivery of goods and cargo and the profitability of logistics as a result. The solution to this problem will allow to consider the nodes of logistics networks as smart independent divisions with an information interface for interaction built into a digital logistics platform. The role of these nodes is to make the best decisions in handling cargo flows. As the next stage of research, we plan to develop algorithms for coordinating the information flows reflecting transport activities and forming the material flows entering and leaving the distribution centers.

ACS Style

Alexey Shmatko; Sergey Barykin; Sergey Sergeev; Anuphat Thirakulwanich. Modeling a Logistics Hub Using the Digital Footprint Method—The Implication for Open Innovation Engineering. Journal of Open Innovation: Technology, Market, and Complexity 2021, 7, 59 .

AMA Style

Alexey Shmatko, Sergey Barykin, Sergey Sergeev, Anuphat Thirakulwanich. Modeling a Logistics Hub Using the Digital Footprint Method—The Implication for Open Innovation Engineering. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7 (1):59.

Chicago/Turabian Style

Alexey Shmatko; Sergey Barykin; Sergey Sergeev; Anuphat Thirakulwanich. 2021. "Modeling a Logistics Hub Using the Digital Footprint Method—The Implication for Open Innovation Engineering." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1: 59.

Journal article
Published: 13 December 2020 in Journal of Open Innovation: Technology, Market, and Complexity
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Nowadays, digitizing the data stream is enabling the evolution of logistics processes. The data-driven network logistics processes are evaluated by leading economic indicators. The purpose of this study is to further develop the algorithmic foundations of economic and mathematical modeling of logistics networks based on advanced technologies that the digitalization process provides. Methods of mathematical modeling of flows of various resources in logistic networks, the structure of which is presented in the form of a graph, are used in the work. The economic benefit lies in the implementation of the planning concept based on leading indicators. As a result, using a set of formalisms, a mathematical model has been developed, which will make it possible to search for optimal solutions based on the criterion of economic efficiency. The results obtained will find application not only in transport problems. Network logistics includes the transportation of liquid and gaseous materials through pipelines, energy through electrical networks. A universal mathematical model will allow the results to be applied in many industries and economic activities when it is required to make economically sound decisions based on a stream of digital data coming in real time.

ACS Style

Sergey Yevgenievich Barykin; Irina Vasilievna Kapustina; Sergey Mikhailovich Sergeev; Vladimir Konstantinovich Yadykin. Algorithmic Foundations of Economic and Mathematical Modeling of Network Logistics Processes. Journal of Open Innovation: Technology, Market, and Complexity 2020, 6, 189 .

AMA Style

Sergey Yevgenievich Barykin, Irina Vasilievna Kapustina, Sergey Mikhailovich Sergeev, Vladimir Konstantinovich Yadykin. Algorithmic Foundations of Economic and Mathematical Modeling of Network Logistics Processes. Journal of Open Innovation: Technology, Market, and Complexity. 2020; 6 (4):189.

Chicago/Turabian Style

Sergey Yevgenievich Barykin; Irina Vasilievna Kapustina; Sergey Mikhailovich Sergeev; Vladimir Konstantinovich Yadykin. 2020. "Algorithmic Foundations of Economic and Mathematical Modeling of Network Logistics Processes." Journal of Open Innovation: Technology, Market, and Complexity 6, no. 4: 189.

Conference paper
Published: 26 November 2020 in Journal of Physics: Conference Series
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Solving the ecological problems of big cities is made difficult by the fact that their activities are built on the concentration of many kinds of resources. The economic foundation for their prosperity is made up of scientific, manufacturing, and cultural opportunities. At the same time, negative externalities occur, and natural and technological restrictions come into effect. The lessons of the COVID-19 pandemic require seeking out new methods of managing metropolitan areas. Global cities are unique in their constant influx of people - tourists, expats, students, and so on. This paper presents a way to solve the problems relating to regulating the inflow of visitors. A dynamic model of the spread of the infection is put together, the arguments for which are the restrictive and quarantine measures. At the same time, the problem of finding an economically sound balance between ecological externalities and the capacity of limited resources is solved. When solving these two problems using computer simulation, it becomes possible to use information flows of smart city systems, while the results of the calculations provide the basis for adopting the optimal set of administrative and technical solutions.

ACS Style

S M Sergeev; Y I Starodubtsev; O Ja Kravets; H M Jawasreh. Algorithm of ecological solutions in the smart city concept. Journal of Physics: Conference Series 2020, 1679, 052040 .

AMA Style

S M Sergeev, Y I Starodubtsev, O Ja Kravets, H M Jawasreh. Algorithm of ecological solutions in the smart city concept. Journal of Physics: Conference Series. 2020; 1679 (5):052040.

Chicago/Turabian Style

S M Sergeev; Y I Starodubtsev; O Ja Kravets; H M Jawasreh. 2020. "Algorithm of ecological solutions in the smart city concept." Journal of Physics: Conference Series 1679, no. 5: 052040.

Conference paper
Published: 26 November 2020 in Journal of Physics: Conference Series
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The changes that have occurred in the business landscape due to COVID-19 present marketologists and entrepreneurs with new problems. The forced trend of a sharp increase in online interaction with consumers should be used. Such global shifts give rise to innovative tools for evaluating commercial results and transform old techniques to correspond to the new reality of the market. This is the basic condition for a business to sustain in any industry. This paper focuses on developing a theoretical description of the multi-stage interaction with the customer base. In order to solve this problem, a mathematical model was developed at the base of which is a digital information interaction, starting with identifying the target audience and finishing with a completed commercial transaction. Unlike the classical sales funnel, the algorithms presented allow a multi-dimensional conversion funnel to be used for more than just evaluating the results of business for the accounting period. Thanks to a stream of arguments for the model in real time, it is becoming possible to optimize the commercial process by moving to the concept of leading economic indicators.

ACS Style

A A Fedotov; S M Sergeev; O Ja Kravets; L N Borisoglebskaya; E N Nique. Improving the software engineering algorithm for business. Journal of Physics: Conference Series 2020, 1679, 022090 .

AMA Style

A A Fedotov, S M Sergeev, O Ja Kravets, L N Borisoglebskaya, E N Nique. Improving the software engineering algorithm for business. Journal of Physics: Conference Series. 2020; 1679 (2):022090.

Chicago/Turabian Style

A A Fedotov; S M Sergeev; O Ja Kravets; L N Borisoglebskaya; E N Nique. 2020. "Improving the software engineering algorithm for business." Journal of Physics: Conference Series 1679, no. 2: 022090.

Conference paper
Published: 01 November 2020 in Journal of Physics: Conference Series
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The past spring semester under COVID-19 conditions forced all educational institutions to find ways to make a quick transition to online education technology. At the same time, there have been numerous positive outcomes to this way of working with students. On the other hand, most of the educational methods proved unready for such a swift change of the teaching paradigm. The problem of spreading successfully recommended techniques for building an educational information environment is currently relevant. The current work presents the results of such a development with the application of a cluster of convergent technologies. The problem of introducing modern information-communication technology as a systematic component of forming a new educational model has been repositioned. Distance education technologies are considered by the authors to be an integral part of the educational space and a factor which accentuates the attention of future specialists when choosing areas of education. The pattern of applying cloud technology for building an expert system is examined. A combination of various disciplines for achieving an application convenient for educational activities is demonstrated, where students located in different areas can simultaneously in one task master the roles of expert, manager, programmer, and at the same time use the mathematical apparatus for economic analysis. The focus of the material allows the method to be used when forming software for pedagogical activities.

ACS Style

L N Borisoglebskaya; A A Fedotov; O V Pilipenko; S M Sergeev; O Ja Kravets. Multi-disciplinary educational information environment. Journal of Physics: Conference Series 2020, 1691, 012065 .

AMA Style

L N Borisoglebskaya, A A Fedotov, O V Pilipenko, S M Sergeev, O Ja Kravets. Multi-disciplinary educational information environment. Journal of Physics: Conference Series. 2020; 1691 (1):012065.

Chicago/Turabian Style

L N Borisoglebskaya; A A Fedotov; O V Pilipenko; S M Sergeev; O Ja Kravets. 2020. "Multi-disciplinary educational information environment." Journal of Physics: Conference Series 1691, no. 1: 012065.

Conference paper
Published: 01 November 2020 in Journal of Physics: Conference Series
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The development of the educational services market takes place in the whole world under the influence of innovation technological and organizational solutions. The use of online technology provides a wide space for developing cooperation between educational institutions not only when mastering current disciplines. This is possible thanks to the modern concept of education being aimed at the possibility of students to choose a number of disciplines of various types based on their own preferences. The application of standard methods does not provide the necessary information for predicting which subjects will be of interest to each specific student. In this case, it is necessary to use digital technologies to process information provided by aggregator sites and search engines. This information reflects statistical data on the level of interest of a student applicant in one area or another of professional training. Based on these probabilistic features, it becomes possible to build a matrix of consumer preferences, viewing the student as a consumer of educational services. These problems can only be solved using digital technologies and by applying methods of stochastic optimization, the mathematical theory for finding solutions during uncertainty, and computer modeling.

ACS Style

A A Fedotov; O V Pilipenko; L V Panfilova; L N Borisoglebskaya; S M Sergeev. Digitalization as the basis for advancing educational services. Journal of Physics: Conference Series 2020, 1691, 012061 .

AMA Style

A A Fedotov, O V Pilipenko, L V Panfilova, L N Borisoglebskaya, S M Sergeev. Digitalization as the basis for advancing educational services. Journal of Physics: Conference Series. 2020; 1691 (1):012061.

Chicago/Turabian Style

A A Fedotov; O V Pilipenko; L V Panfilova; L N Borisoglebskaya; S M Sergeev. 2020. "Digitalization as the basis for advancing educational services." Journal of Physics: Conference Series 1691, no. 1: 012061.

Conference paper
Published: 28 May 2020 in IOP Conference Series: Materials Science and Engineering
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ACS Style

V V Provotorov; D V Danilevich; A A Fedotov; Sergey Sergeev; Oleg Kravets. Digital management by supply networks in engineering. IOP Conference Series: Materials Science and Engineering 2020, 862, 1 .

AMA Style

V V Provotorov, D V Danilevich, A A Fedotov, Sergey Sergeev, Oleg Kravets. Digital management by supply networks in engineering. IOP Conference Series: Materials Science and Engineering. 2020; 862 ():1.

Chicago/Turabian Style

V V Provotorov; D V Danilevich; A A Fedotov; Sergey Sergeev; Oleg Kravets. 2020. "Digital management by supply networks in engineering." IOP Conference Series: Materials Science and Engineering 862, no. : 1.

Conference paper
Published: 28 May 2020 in IOP Conference Series: Materials Science and Engineering
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The modern concept of the developing engineering production is based on a digital interaction. At the same time, management of all related processes is possible due to a digital shadow at each stage of work. This primarily related to supply, marketing and interoperational units within the enterprise. The solution of the automation problems of the industrial production, matching to the priorities of the Industry 4.0 program is ought to begin with the organization of the inter-machine interaction M2M. This article presents the results of a study devoted to a search for optimal algorithms for managing the flow of goods and cargoes of the engineering production in modern supply chain management concepts such as 3PL logistics, pick-by-line, cross-docking, as well as ensuring the implementation of managerial decision-making systems based on outrunning economic indicators.

ACS Style

L N Borisoglebskaya; S M Sergeev; E N Provotorova; A A Zaslavskiy. Digital algorithms for supply chain automation of mechanical engineering production. IOP Conference Series: Materials Science and Engineering 2020, 862, 1 .

AMA Style

L N Borisoglebskaya, S M Sergeev, E N Provotorova, A A Zaslavskiy. Digital algorithms for supply chain automation of mechanical engineering production. IOP Conference Series: Materials Science and Engineering. 2020; 862 ():1.

Chicago/Turabian Style

L N Borisoglebskaya; S M Sergeev; E N Provotorova; A A Zaslavskiy. 2020. "Digital algorithms for supply chain automation of mechanical engineering production." IOP Conference Series: Materials Science and Engineering 862, no. : 1.

Conference paper
Published: 28 May 2020 in IOP Conference Series: Materials Science and Engineering
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One of the most important components in the modern conception Industry 4.0 is the digital twin. The special feature of the mechanical engineering production is the high proportion of time, spent on an interoperational storage. High efficiency of the enterprise activity is connected with the solution of a flexible automatic warehousing system creation. It is necessary to describe structural and dynamic parameters of a robot-stacker in the math formalisms. This will allow to find the optimal ratio between the load capacity, cargo speed and statistic, dynamic indicators of positioning accuracy. The obtained results of a mathematical modeling can be used as the algorithms for an integrated environment of a software development for various automation systems of warehouse processes.

ACS Style

A A Fedotov; S M Sergeev; E N Provotorova; T V Prozhogina; O Yu Zaslavskaya. The digital twin of a warehouse robot for Industry 4.0. IOP Conference Series: Materials Science and Engineering 2020, 862, 1 .

AMA Style

A A Fedotov, S M Sergeev, E N Provotorova, T V Prozhogina, O Yu Zaslavskaya. The digital twin of a warehouse robot for Industry 4.0. IOP Conference Series: Materials Science and Engineering. 2020; 862 ():1.

Chicago/Turabian Style

A A Fedotov; S M Sergeev; E N Provotorova; T V Prozhogina; O Yu Zaslavskaya. 2020. "The digital twin of a warehouse robot for Industry 4.0." IOP Conference Series: Materials Science and Engineering 862, no. : 1.

Conference paper
Published: 07 December 2019 in IOP Conference Series: Materials Science and Engineering
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ACS Style

Sergey Sergeev; T Kirillova. Information support for trade with the use of a conversion funnel. IOP Conference Series: Materials Science and Engineering 2019, 666, 1 .

AMA Style

Sergey Sergeev, T Kirillova. Information support for trade with the use of a conversion funnel. IOP Conference Series: Materials Science and Engineering. 2019; 666 ():1.

Chicago/Turabian Style

Sergey Sergeev; T Kirillova. 2019. "Information support for trade with the use of a conversion funnel." IOP Conference Series: Materials Science and Engineering 666, no. : 1.

Conference paper
Published: 05 December 2019 in Journal of Physics: Conference Series
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The counterparties' economic relations have been mainly transferred to the online sector. This reflects the concept of digital interaction between manufacturers, intermediaries and consumers. At the software engineering stage, it is necessary to use one of the main formalisms - sales funnel, which has transformed into a conversion funnel under the concept of a digital economy. In the presented article, a mathematical model is developed that formalizes in detail all the stages of commercial interaction. The research results provide a set of software engineering algorithms for the expert systems designed for commercial services managers.

ACS Style

L N Borisoglebskaya; E N Provotorova; S M Sergeev. Commercial software engineering under the digital economy concept. Journal of Physics: Conference Series 2019, 1399, 033029 .

AMA Style

L N Borisoglebskaya, E N Provotorova, S M Sergeev. Commercial software engineering under the digital economy concept. Journal of Physics: Conference Series. 2019; 1399 (3):033029.

Chicago/Turabian Style

L N Borisoglebskaya; E N Provotorova; S M Sergeev. 2019. "Commercial software engineering under the digital economy concept." Journal of Physics: Conference Series 1399, no. 3: 033029.

Conference paper
Published: 05 December 2019 in Journal of Physics: Conference Series
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ACS Style

O V Pilipenko; E N Provotorova; Sergey Sergeev; O V Rodionov. Automation engineering of adaptive industrial warehouse. Journal of Physics: Conference Series 2019, 1399, 1 .

AMA Style

O V Pilipenko, E N Provotorova, Sergey Sergeev, O V Rodionov. Automation engineering of adaptive industrial warehouse. Journal of Physics: Conference Series. 2019; 1399 ():1.

Chicago/Turabian Style

O V Pilipenko; E N Provotorova; Sergey Sergeev; O V Rodionov. 2019. "Automation engineering of adaptive industrial warehouse." Journal of Physics: Conference Series 1399, no. : 1.

Conference paper
Published: 05 December 2019 in Journal of Physics: Conference Series
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ACS Style

A S Golosnoy; V V Provotorov; Sergey Sergeev; L B Raikhelgauz; Oleg Kravets. Software engineering math for network applications. Journal of Physics: Conference Series 2019, 1399, 1 .

AMA Style

A S Golosnoy, V V Provotorov, Sergey Sergeev, L B Raikhelgauz, Oleg Kravets. Software engineering math for network applications. Journal of Physics: Conference Series. 2019; 1399 ():1.

Chicago/Turabian Style

A S Golosnoy; V V Provotorov; Sergey Sergeev; L B Raikhelgauz; Oleg Kravets. 2019. "Software engineering math for network applications." Journal of Physics: Conference Series 1399, no. : 1.

Conference paper
Published: 29 October 2019 in IOP Conference Series: Materials Science and Engineering
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This paper discusses the problem of creation of control algorithms when working in the Third Party Logistic concept. It considers the process of supply management when several means of transport and an intermediate distribution center are used. It is assumed that goods are processed in the Machine-to-Machine mode by means of machine-readable codes. The controlling server processes the data and makes a decision either to use one or another mode of transport, or to store the cargo temporarily at the distribution center. An option is provided when an emergent stock of a limited y is placed directly at the end point so that the impact of market uncertainty in demand can be mitigated. The methods of mathematical modeling in the time of uncertainty of the operational environment are applied. The algorithm is based on the stochastic programming method. The practical focus of the work lies in orienting the results on multimodal logistics, which makes the model scalable. The computations, which use the algorithms developed in the paper, provide commercial network managers with a convenient tool for planning current activities taking into account market uncertainty in all operations, when dealing both with consumers and suppliers throughout the business chain, including distribution centers as independent nodes of machine-to-machine interaction. The implementation of the proposed models not only will bring economic benefits and reduce the global traffic, but will also help improve the environment and give a significant social effect.

ACS Style

Сергей Краснов; E Zotova; S Sergeev; A Krasnov; Mihail Draganov. Stochastic algorithms in multimodal 3PL segment for the digital environment. IOP Conference Series: Materials Science and Engineering 2019, 618, 012069 .

AMA Style

Сергей Краснов, E Zotova, S Sergeev, A Krasnov, Mihail Draganov. Stochastic algorithms in multimodal 3PL segment for the digital environment. IOP Conference Series: Materials Science and Engineering. 2019; 618 (1):012069.

Chicago/Turabian Style

Сергей Краснов; E Zotova; S Sergeev; A Krasnov; Mihail Draganov. 2019. "Stochastic algorithms in multimodal 3PL segment for the digital environment." IOP Conference Series: Materials Science and Engineering 618, no. 1: 012069.

Conference paper
Published: 18 June 2019 in IOP Conference Series: Materials Science and Engineering
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The article is devoted to the modeling of digital interaction by analyzing responses to the promotion of commercial brands through all possible channels of influence on consumer preferences. Formalisms are introduced, a mathematical model is compiled. The calculation of the optimal modes was carried out.

ACS Style

L N Borisoglebskaya; E N Provotorova; S M Sergeev. Promotion based on digital interaction algorithm. IOP Conference Series: Materials Science and Engineering 2019, 537, 042032 .

AMA Style

L N Borisoglebskaya, E N Provotorova, S M Sergeev. Promotion based on digital interaction algorithm. IOP Conference Series: Materials Science and Engineering. 2019; 537 (4):042032.

Chicago/Turabian Style

L N Borisoglebskaya; E N Provotorova; S M Sergeev. 2019. "Promotion based on digital interaction algorithm." IOP Conference Series: Materials Science and Engineering 537, no. 4: 042032.

Conference paper
Published: 18 June 2019 in IOP Conference Series: Materials Science and Engineering
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The new kind of practical issues was born due to modern trend on globalization and transition to the concept of industry 4.0. These are the processes in commercial networks representing the movement of goods and finance, which have specific economic indicators; migration of populations and labor resources; transference of one-parameter continuous media (diffusion effect). The issues with higher level of complexity occur during the research of multi-phase environments dynamics in network-like media and mathematical modeling of such processes. The authors divide these two problems and offer the formalized description for the laminar processes and dynamic convective processes with feedback. There was developed an approach to solve the problems of optimal control for these processes. The research is based on methods for analyzing systems of partial differential equations with distributed parameters on a graph or network-like domain.

ACS Style

L N Borisoglebskaya; V V Provotorov; S M Sergeev; E S Kosinov. Mathematical aspects of optimal control of transference processes in spatial networks. IOP Conference Series: Materials Science and Engineering 2019, 537, 042025 .

AMA Style

L N Borisoglebskaya, V V Provotorov, S M Sergeev, E S Kosinov. Mathematical aspects of optimal control of transference processes in spatial networks. IOP Conference Series: Materials Science and Engineering. 2019; 537 (4):042025.

Chicago/Turabian Style

L N Borisoglebskaya; V V Provotorov; S M Sergeev; E S Kosinov. 2019. "Mathematical aspects of optimal control of transference processes in spatial networks." IOP Conference Series: Materials Science and Engineering 537, no. 4: 042025.

Conference paper
Published: 17 June 2019 in IOP Conference Series: Materials Science and Engineering
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This paper presents the results of research that focused on the implementation of the intelligent design and development of subsystems meeting the requirements of the Industry 4.0 concept. The main emphasis is on a mathematical model of the digital interaction between two key components of the flexible automated production, which consists of warehouse adaptable to changing production and service equipped by robot with sensors for receiving the whole set of information. Mathematical formalisms were developed and computer calculations were carried out in order to meet these problems.

ACS Style

L N Borisoglebskaya; E N Provotorova; S M Sergeev; A P Khudyakov. Automated storage and retrieval system for Industry 4.0 concept. IOP Conference Series: Materials Science and Engineering 2019, 537, 032036 .

AMA Style

L N Borisoglebskaya, E N Provotorova, S M Sergeev, A P Khudyakov. Automated storage and retrieval system for Industry 4.0 concept. IOP Conference Series: Materials Science and Engineering. 2019; 537 (3):032036.

Chicago/Turabian Style

L N Borisoglebskaya; E N Provotorova; S M Sergeev; A P Khudyakov. 2019. "Automated storage and retrieval system for Industry 4.0 concept." IOP Conference Series: Materials Science and Engineering 537, no. 3: 032036.

Conference paper
Published: 02 April 2019 in IOP Conference Series: Materials Science and Engineering
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Development of information technologies at the present stage allows switching over to a higher level of interaction between business and clients. Worldwide trend in attempts to find a potential consumer is customization of marketing impact. This paper is dedicated to interactive communication modeling through evaluation of feedback to commercial brands promotion via all possible consumer preference influencing channels. The paper establishes formalisms, plots mathematical model of products promotion by means of digital platforms and gives calculation of optimized regimes. The paper shows results of investigations performed by means of elaborated mathematical model on a particular example. The paper substantiates efficiency of elaborated mathematical model employment (under the conditions of market uncertainty) for making managerial decisions in various products and services promotion areas and also for the purpose of short-term and long-term business planning.

ACS Style

Sergey Krasnov; Sergey Sergeev; Aleksandr Titov; Yelizaveta Zotova. Modelling of digital communication surfaces for products and services promotion. IOP Conference Series: Materials Science and Engineering 2019, 497, 012032 .

AMA Style

Sergey Krasnov, Sergey Sergeev, Aleksandr Titov, Yelizaveta Zotova. Modelling of digital communication surfaces for products and services promotion. IOP Conference Series: Materials Science and Engineering. 2019; 497 (1):012032.

Chicago/Turabian Style

Sergey Krasnov; Sergey Sergeev; Aleksandr Titov; Yelizaveta Zotova. 2019. "Modelling of digital communication surfaces for products and services promotion." IOP Conference Series: Materials Science and Engineering 497, no. 1: 012032.

Conference paper
Published: 02 April 2019 in E3S Web of Conferences
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The paper is devoted to topical issues of urban planning in relation to megacities. We consider this issue taking into account the limitations of natural, communal, and social resources. The problem is especially acute for the overwhelming majority of the state capitals, as well as cities with historical heritage that are of great interest due to the rapid development of tourism and the high mobility of the population in the world. The authors formalize the problem of determining the optimal ratio of the volume of urban buildings intended for non-residents to the total housing stock. We conduct economic calculations to determine the quantitative indicators that can be used as the basis for administrative measures aimed at limiting the flow of people arriving with the intention of temporarily deploying in megacities.

ACS Style

Sergey Sergeev; Татьяна Кириллова; Irina Krasyuk. Modelling of sustainable development of megacities under limited resources. E3S Web of Conferences 2019, 91, 05007 .

AMA Style

Sergey Sergeev, Татьяна Кириллова, Irina Krasyuk. Modelling of sustainable development of megacities under limited resources. E3S Web of Conferences. 2019; 91 ():05007.

Chicago/Turabian Style

Sergey Sergeev; Татьяна Кириллова; Irina Krasyuk. 2019. "Modelling of sustainable development of megacities under limited resources." E3S Web of Conferences 91, no. : 05007.