DOI: 10.33917/mic-6.113.2023.29-47

The issues of the correct application of mathematical statistics in the processing of marketing research results, taking into account the type of data obtained, are considered. The indicators of the trend and the spread of data in the analysis of consumer preferences and perception of market objects (goods/ trademarks/firms) in relation to numeric data (interval-type and stronger) are discussed. Examples of constructing images of market objects based on interval type data are given. The advantages of analyzing interval-type factors constructed in an optimal way in solving the tasks are shown.

References: 

1. Zakuskin S.V. Type data consideration in market objects analysis. Part 1. Building images based on factors of non-numeric types. Microeconomics. 2023;5:23–38. (In Russ.).

2. Orlov A.I. Non-numeric statistic. Moscow: MZ–Press, 2004. 513 p.

3. Zakuskin S.V. Integration of marketing communications based on the analysis of consumer preferences. Russian entrepreneurship. 2018;19(6):1913–1937. (In Russ.).

4. Zakuskin S.V. Analysis of consumer ideals in the image-forming space: problem statement and identification of factors. Microeconomics. 2021;2: 19–31. (In Russ.).

5. Zakuskin S.V. Analysis of consumer ideals in the image-forming space:  building perfect images. Microeconomics. 2021;3:22–31. (In Russ.).

6. Zakuskin S.V. On the question of the legality of applying mathematical and statistical methods to research data of the «wrong» type. Practical marketing. 2022;9:3–23. (In Russ.).

7. Kendall M.G., Stuart A. Distribution theory. Moscow: Science, 1966. 588 p.

8. Zakuskin S.V. Analysis of emotional preferences in the image-forming space. Microeconomics. 2021;4:42–56. (In Russ.).

DOI: 10.33917/mic-6.113.2023.14-28

In the context of the most important legislative acts and strategic planning documents for the development of the education system and digital economy in Russia, the article examines modern problems in the implementation of the national project «Education» and the national program «Digital Economy of the Russian Federation». They identified the main contradictions and discrepancies in strategic goals, priorities, objectives and results associated with the dominance of technocratic and liberal market approaches to education management. The strategic guidelines and prospects for the digital transformation of the Russian education system are outlined.

References: 

1. Boronenko T. A., Fedotova V. S. Prerequisites for the digital transformation of the Russian education system. Bulletin of Samara University. History, pedagogy, philology. 2020;26(2):70–78. (In Russ.).

2. Verbitsky A. A. Digital learning: problems, risks and prospects. Electronic scientifi c and journalistic magazine «Homo Cyberus». 2019;1(6):7. (In Russ.).

3. Voinova O. I., Pleshakov V. A. Cyberontological approach in education. Monograph / Ed. V. A. Pleshakova. Norilsk: Norilsk Industrial Institute, 2012. 244 p. (In Russ.).

4. Dneprovskaya N. V. Formation of an innovative

environment in the digital economy. Dissertation for the degree of Doctor of Economic Sciences: 08.00.05. Place of defense: Russian Economic University named after G. V. Plekhanov. M.: 2020. 356 p. (In Russ.).

5. Ilyin I. A. Abou t education in the future Russia. Collected works. T.2, Book. II. M.: 1993. pp.178–191. (In Russ.).

6. Molchanova E. V. On the pros and cons of digitalization of modern education // Problems of modern pedagogical education. 2019;64(4):133–135. (In Russ.).

7. Ostapenko A. A., Khagurov T. A. Anthropological models of education: from the Image of God to… neognosticism? Bulletin of PSTGU. Series IV: Pedagogy. Psychology. 2012;1(24):80–104. (In Russ.).

8. Starichenko B. E. Digitalization of education: realities and problems. Pedagogical education in Russia. 2020;4:21–23. (In Russ.).

9. Uvarov A. Yu. Education in the world of digital technologies: towards digital transformation. M.: HSE. 2018. 168 p. (In Russ.).

10. Philosophical encyclopedic dictionary. M.: INFRA-M. 1999. 576 p. (In Russ.).

11. Khagurov T. A. Assessing the quality of education: a sociological approach. Pedagogical diagnostics. 2010;3:20–38. (In Russ.).

DOI: 10.33917/mic-6.113.2023.5-13

The main markets under study, which continue to develop actively on mutually beneficial terms, are the markets of the countries of the European-Asian Economic Union (EAEU). Therefore, in the context of the refusal of the European Union (EU) countries from the work of European economic entities on the territory of the Russian Federation, the procurement of natural resources necessary for the needs of energy companies, the relevance of the formation of strategic goals, criteria for their achievement, the implementation of planned plans and specific ongoing activities in full, is an important task of governments in public management systems of all five countries of the union. To achieve the main strategic goal of the EAEU activity – to improve the standard of living of the population of the countries. It is necessary to ensure the joint development of three single markets: labor, goods and finance. The further successful solution of this problem is facilitated by the activities of the Single Customs Union, aimed at the almost unhindered movement of labor and goods within the borders of the Union countries. Such integration of the countries’ trade and economic activities makes it possible to significantly increase the trade turnover between the countries, attract labor resources, first of all, to the Russian Federation. However, there are also unresolved problems. For example, in order to strengthen the production and food integration of countries, it is necessary to introduce additional provisions into the mechanisms for regulating the export movement of goods. In order to carry out mutual attraction of finance in the form of investments on the territory of these countries, a single regulatory space is being created, which should include a standard.

References: 

1. Federal Law «On the development of small and medium-sized businesses in the Russian Federation» dated July 24, 2007 N 209-FZ. URL: https://www.consultant.ru/document/cons_doc_LAW_52144/?ysclid=lnivwtgphd925897838
2. Zhokhova V.V. Social entrepreneurship: essence and concept. News of the Far Eastern Federal University. Economics and Management. 2015;1:85-98. (In Russ.).
3. Zhukovskaya I.V. Specifics of researching the service market using the example of the Republic of Tatarstan. Microeconomics. 2020;5:93-98. (In Russ.).
4. Pyatanova V.I. Social responsibility of business and value creation. Microeconomics. 2022;3:57-62. (In Russ.).
5. Ragimkhanov A.V. Systematization of scientific approaches to the study of competitiveness of services: from theory to practice. / A.V. Ragimkhanov, I.V. Zhukovskaya. Microeconomics. 2022;1:75-78. (In Russ.).
6. Tolmachev Yu.M. The role and place of social entrepreneurship in the digital economy of the Russian Federation. Economic Sciences. 2023;5 (222):363-370. (In Russ.).
7. Website of the Ministry of Economic Development of the Republic of Tatarstan. URL: https://mert.tatarstan.ru

DOI: 10.33917/es-5.191.2023.138-143

The article dwells on the issues of forming and implementing a brand management strategy, the main stages of its formation are specified and the criteria for effective advertising communications are identified.

References:

1. Borisov B.L. Tekhnologiya reklamy i PR [Advertising Technology and PR]. Moscow, Grand-Fair, 2004, 624 p.

2. Vikent’ev I.L. Priemy reklamy i Public Relations [Advertising Techniques and Public Relations]. Saint Petersburg, Biznes-pressa, 2001, 380 p.

3. Domnin V.N. Brending [Branding]. Moscow, YuRAIT, 2020, 494 p.

4. Dei D. Strategicheskii marketing [Strategic Marketing]. Moscow, Eksmo-Press, 2003, 640 p.

5. Chernatoni L., Makdonal’d M. Brending. Kak sozdat’ moshchnyi brend [Branding. How to Build a Strong Brand]. Moscow, Yuniti-Dana, 2006, 560 p.

DOI: 10.33917/es-5.191.2023.132-137

Production losses during changeover are most significant and critical for continuous cycle production. The present article discusses the issues of optimizing technological processes by the example of changing the product range on one continuous production line. An option is proposed for optimizing the time cycle of the operations technological map using network planning methods. The effectiveness of optimization is shown — both of a separate changeover process on a site, and of the entire complex of work on changing the assortment. The process of optimizing the time-consuming on changing assortments is a precursor to introducing lean manufacturing techniques, but does not contradict their parallel implementation. Without incurring financial costs, optimization of technological maps with the help of network planning methods has a significant advantage for implementation.

References:

1. Natsional’nyi proekt “Proizvoditel’nost’ truda i podderzhka zanyatosti” [National Project “Labor Productivity and Employment Support”], available at: https://xn—b1aedfedwqbdfbnzkf0oe.xn—p1ai/

2. Elagina V.B., Tsareva G.R. Primenenie kartirovaniya potoka sozdaniya tsennosti kak instrumenta berezhlivogo proizvodstva [Application of Value Stream Mapping as a Lean Manufacturing Tool]. Elektronnyi nauchnyi zhurnal “Vek kachestva”, 2021, no 3, pp. 94–107.

3. Parshin I.A. Osnovnye ponyatiya i printsipy berezhlivogo proizvodstva [Basic Concepts and Principles of Lean Production]. Innovatsii i investitsii, 2020, no 6, pp. 130–132.

4. Safronova K.O., Tsvirkunov D.I. Issledovanie urovnya zrelosti primeneniya berezhlivogo proizvodstva na rossiiskikh predpriyatiyakh [Study of the Maturity Level of Applying Lean Production at Russian Enterprises]. Vestnik Moskovskogo universiteta, Seriya 6. Ekonomika, 2020, no 2.

5. Busnyuk N.N. Raznovidnosti zadachi setevogo planirovaniya, nekotorye metody ikh resheniya i algoritmicheskie otsenki [Varieties of Network Planning Problems, Some Methods for Solving Them and Algorithmic Estimates]. Trudy BGTU, Seriya 3, 2019, no 2, pp. 101–104.

6. Shcheklein V.S., Chorakaev O.E. Podkhod k matematicheskomu modelirovaniyu proizvodstva na aviastroitel’nom predpriyatii na osnove razvitiya metoda setevogo planirovaniya upravleniya [An Approach to Mathematical Modeling of Production at an Aircraft Manufacturing Enterprise Based onthe Development of the Network Management Planning Method]. Izvestiya Samarskogo nauchnogo tsentra Rossiiskoi akademii nauk, 2012, vol. 14,

no 4(3), pp. 874–877.

7. Soshnikov A.V. Ekspress-metod sokrashcheniya poter’ vremeni na perenaladki oborudovaniya pri smene assortimenta produktsii [Express Method for Reducing Time Lost on Equipment Changeovers when Changing Product Range]. Natsional’naya assotsiatsiya uchenykh (NAU) # 57,

2020, pp. 43–48.

8. Sigeo Singo. Izuchenie proizvodstvennoi sistemy Toioty s tochki zreniya organizatsii proizvodstva [Study of the Toyota Production System from the Point of View of Production Organization]. Moscow, IKSI, 2010.

DOI: 10.33917/es-5.191.2023.126-131

In the modern world, ratings have become an instrumental component that provides analysis, forecast and support for management decisions at both the macro, micro and meso-levels. The increasing intensity of flows and volumes of information, its multidimensional nature, the variety of formats for its presentation and communication for transmission in the context of increasing complexity of economic and social phenomena and processes, have created a powerful demand for ratings in business, in the financial and investment sphere and in strategic management, as well as at the state level. This is explained by the fact that ratings are independent, impartial, methodologically sound and allow, based on a wide range of metrics, to assess the competitiveness of countries, regions, industries and companies. Taking into account the ratings, subsequent investment decisions of the key economic players are formed.

References:

1. Sovetskii entsiklopedicheskii slovar’ [Soviet Encyclopedic Dictionary]. Pod red. A.M. Prokhorova, 4-e izd. Moscow, Sovetskaya entsiklopediya, 1989, 1632 p.

2. Tekhnologii reitingov [Rating Technologies]. Konsaltingovaya gruppa MD, available at: http://md-consulting.ru/articles/html/article19.html

3. Handbook on Constructing Composite Indicators: Methodology and User Guide, available at: https://www.oecd.org/sdd/42495745.pdf

4. 2023 Index of Economic Freedom, available at: https://www.heritage.org/index/

5. Economic Freedom. Fraser Institute, available at: https://www.fraserinstitute.org/studies/economic-freedom

6. The Global AI Index. Tortoise, available at: https://www.tortoisemedia.com/intelligence/global-ai/

7. AI Index. Stanford University, available at: https://aiindex.stanford.edu/report/

8. Ageev A.I., Zolotareva O.A., Zolotarev V.A. Rossiya v global’nom mire iskusstvennogo intellekta: otsenka po mirovym reitingam [Russia in the Global World of Artificial

Intelligence: Assessment by World Rankings]. Ekonomicheskie strategii, 2022, no 2(182), pp. 20–31, available at: DOI: https://doi.org/10.33917/es-2.182.2022.20-31

9. Doklady o razvitii chelovecheskogo potentsiala [Human Development Reports]. UNDP, available at: http://hdr.undp.org/en

10. Doklady o global’nom gendernom razryve [Reports on the Global Gender Gap]. World Economic Forum, available at: https://www.weforum.org/reports/

ab6795a1-960c-42b2-b3d5-587eccda6023

11. Ramki kachestva statisticheskoi deyatel’nosti OESR [OECD Statistical Quality Framework]. OECD, available at: https://www.oecd.org/sdd/

qualityframeworkforoecdstatisticalactivities.htm

12. Data Quality Assessment Framework-Generic Framework. IMF, available at: https://www.imf.org/external/np/sta/dsbb/2003/eng/dqaf.htm#P50_2523

13. Evropeiskaya komissiya. Evrostat. Kachestvo. Evropeiskie standarty kachestva. Kodeks praktiki evropeiskoi statistiki [European Commission. Eurostat.

Quality. European quality standards. European Statistics Code of Practice]. Eurostat, available at: https://ec.europa.eu/eurostat/web/quality/european-qualitystandards/european-statistics-code-of-practice.

DOI: 10.33917/es-5.191.2023.120-125

The article examines legal features and consequences of compiling a rating of companies. The situation may arise when a company, included in the rating, is dissatisfied with its position. The business entity believes that it was ranked lower than its competitor, which understates the professional results achieved by the company. In this case, the company may initiate legal proceedings declaring that information in the rating is untrue and discredits its business reputation. The author argues that ratings are an expression of subjective opinion of their compilers and must not impair business reputation.

References:

1. Lopatnikov L.I. Ekonomiko-matematicheskii slovar’: slovar’ sovremennoi ekonomicheskoi nauki [Economic-mathematical Dictionary: Dictionary of Modern Economic Science]. Moscow, Delo, 2003, 488 p.

2. Postanovlenie Vosemnadtsatogo arbitrazhnogo apellyatsionnogo suda ot 8 oktyabrya 2009 g. po delu N A76-2371/2009 [Resolution of the Eighteenth Arbitration Court of Appeal dated October 8, 2009 in case No. A76-2371/2009]. Access from the Consultant Plus ATP.

3. Postanovlenie Devyatogo arbitrazhnogo apellyatsionnogo suda ot 14 sentyabrya 2011 g. po delu N A40-37334/11-27-323 [Resolution of the Ninth Arbitration Court of Appeal dated September 14, 2011 in case No. A40-37334/11-27-323]. Access from the Consultant Plus ATP.

4. Grazhdanskii kodeks Rossiiskoi Federatsii (chast’ pervaya) ot 30 noyabrya 1994 g. N 51-FZ [Civil Code of the Russian Federation (Part One) No. 51-FZ of November 30, 1994]. Sobranie zakonodatel’stva RF, 1994, no 32.

5. Opredelenie Vysshego arbitrazhnogo suda RF ot 15 dekabrya 2008 g. N 16321/08 [Determination of the Supreme Arbitration Court of the Russian Federation dated December 15, 2008 No. 16321/08]. Access from the Consultant Plus ATP.

6. Postanovlenie Evropeiskogo suda po pravam cheloveka ot 8 iyulya 1986 g. po delu “Lingens protiv Avstrii” (zhaloba N 9815/82) [Judgment of the European Court of Human Rights of 8 July 1986 in the case of Lingens v. Austria (application no. 9815/82)]. Access from the Consultant Plus ATP.

7. Postanovlenie Evropeiskogo suda po pravam cheloveka ot 21 iyulya 2005 g. po delu “Grinberg protiv Rossiiskoi Federatsii” (zhaloba N 23472/03) [Judgment of the European Court of Human Rights of July 21, 2005 in the case “Grinberg v. Russian Federation” (complaint No. 23472/03)]. Access from the Consultant Plus ATP.

8. Obzor praktiki rassmotreniya sudami del po sporam o zashchite chesti, dostoinstva i delovoi reputatsii (utv. Prezidiumom Verkhovnogo suda RF 16 marta 2016 g.) [Review of the Practice of Courts Considering Cases on Disputes Regarding the Protection of Honor, Dignity and Business reputation (approved by the Presidium of the Supreme Court of the Russian Federation on March 16, 2016)]. Byulleten’ Verkhovnogo suda RF, 2016, no 10.

9. Postanovlenie Plenuma Verkhovnogo suda RF ot 24 fevralya 2005 g. N 3 “O sudebnoi praktike po delam o zashchite chesti i dostoinstva grazhdan, a takzhe delovoi reputatsii grazhdan i yuridicheskikh lits” [Resolution of the Plenum of the Supreme Court of the Russian Federation dated February 24, 2005 No. 3 “On judicial practice in cases of protecting the honor and dignity of citizens, as well as the business reputation of citizens and legal entities”]. Byulleten’ Verkhovnogo suda RF, 2005, no 4.

DOI: 10.33917/es-5.192.2023.110-119

The purpose of the study is to substantiate scientifically and to illustrate the application of methodology for assessing and planning sustainable regional development using the example of the Kamchatka Territory. The author analyzes the experience of regional development strategic planning over the past 10 years, assesses the current socio-economic situation of the Kamchatka Territory, as well as key industries, social sphere and regional infrastructure. The study draws attention to environmental risks and proposes methodological approaches to assessing the prospects for sustainable development, based on analysis of the dynamics of the general well-being and financial stability of the region. Social and economic factors influencing sustainable development are considered, and also practical recommendations for developing strategies of sustainable development of the region are presented. The study may be useful for practitioners and researchers in the field of regional development, helping to improve strategic planning in the Kamchatka Territory and similar regions.

References:

1. Bobylev S.N. Ustoichivoe razvitie: paradigma dlya budushchego [Sustainable Development: a Paradigm for the Future]. Mirovaya ekonomika i mezhdunarodnye otnosheniya, 2017, vol. 61, no 3, pp. 107–113.

2. Makovetskii M.Yu. Razvitie podkhodov k interpretatsii kontseptsii ustoichivogo razvitiya [Development of Approaches to the Interpretation of the Concept of Sustainable Development]. Vestnik Moskovskogo universiteta im. S.Yu. Vitte. Seriya 1: Ekonomika i upravlenie, 2022, no 2(41), pp. 81–88.

3. Tratsevskaya L.F., Lebedeva E.N. Sovremennaya paradigma ustoichivogo razvitiya: formirovanie i sushchnost’ [The Modern Paradigm of Sustainable Development: Formation and Essence]. Pravo. Ekonomika. Psikhologiya, 2019, no 1, pp. 44–48.

4. Alferova T.V. Stanovlenie kontseptsii ustoichivogo razvitiya: regional’nyi aspect [Formation of the Concept of Sustainable Development: Regional Aspect]. Vestnik Permskogo natsional’nogo issledovatel’skogo politekhnicheskogo universiteta. sotsial’no-ekonomicheskie nauki, 2021, no 1, pp. 252–263.

5. Dokholyan S.V., Petrosyants V.Z., Sadykova A.M. Ustoichivoe razvitie regional’nykh ekonomicheskikh sistem: teoreticheskii aspect [Sustainable Development of Regional Economic Systems: Theoretical Aspect]. Regional’nye problemy preobrazovaniya ekonomiki, 2013, no 2(36), pp. 60–71.

6. Chiliev B.M. Ustoichivoe razvitie regionov Rossii: ot strategii k taktike [Sustainable Development of Russian Regions: from Strategy to Tactics]. Ekonomicheskaya bezopasnost’, 2023, vol. 6, no 2, pp. 717–728.

7. Smeshko O.G. Ustoichivoe razvitie: regional’nyi aspekt global’noi povestki [Sustainable Development: the Regional Dimension of the Global Agenda]. Ekonomika i upravlenie, 2020, no 26(2), pp. 118–127.

8. Repository of Good Practices in Voluntary National Review (VNR) Reporting, available at: https://hlpf.un.org/sites/default/files/2022-06/Repository%20

DOI: 10.33917/es-5.191.2023.100-109

The article presents an analysis of the fundamental problems of civilizational transit with digital transformation of Industry 4.0 and forms the requirements for methodology and technologies for reassembling transdisciplinary engineering knowledge. The authors propose alternative solutions and counterintuitive approaches to transform reindustrialization based on innovative technologies of cognitive collective convergent engineering – C3 engineering, graph-centric platforms of digital genesis, tools, models and systems of collective intellectual work. The new global trend, proposed by Russia, represents the closing technologies of C3 engineering, which have a colossal socio-political resource of ensuring national sovereignty and leadership with the potential for global technological accession.

References:

1. Kutin V.N. Poema “Dary Tvortsa (Cidempotentnyi monoid)” [Poem “Gifts of the Creator (Сommutative Idempotent Monoid)”]. 2023.

2. Kutin V.N., Khokhlova M.N. Epik feil tsifrovoi transformatsii BigTekha. Gde klyuch k level ap? [Epic Fail of BigTech Digital Transformation. Where is the Key to Level Up?]. Ekonomicheskie strategii, 2022, no 4, pp. 46–55, DOI: https://doi.org/10.33917/es-4.184.2022.46-55

3. Kutin V.N., Khokhlova M.N. Kak aitishniki “obuvayut” promyshlennikov. A u vas kakaya kollektsiya PPO [How IT Specialists “Shoe” Industrialists. What Kind of Software Collection do you have?]. GiperGrafGrupp, 2022, available at: ht tps://www.gipergraf.ru/kak-ajtishniki-obuvayut-promyshlenniko

4. Ma Khuaten. Tsifrovaya transformatsiya Kitaya. Opyt preobrazovaniya infrastruktury natsional’noi ekonomiki [Digital Transformation of China. Experience in Transforming the Infrastructure of the National Economy]. Moscow, Intellektual’naya literatura, 2019.

DOI: 10.33917/es-5.191.2023.94-99

In modern engineering of complex technical systems [1] digital twins and artificial intelligence systems started to be applied, while these subsystems have their own methods and tools for systemic, mathematical and computer modeling. Lack of a normalized approach to combining data from disparate sub-systems into a single system results in a “one-off” assembly methodology or in creation of unique digital models and intelligent systems, which impedes their further transformation into more complex both technical and intelligent systems. In this regard, the search for a standard form of representing such subsystems into a single system becomes relevant, along with the task of developing a methodology for the unified design and production of intelligent systems based on the use of model-oriented system engineering [2, 3, 4]. The work names and systematizes methods and techniques for such developments, demonstrates a standard approach to a normalized platform representation of models of various subsystems, which initially have their own methods and presentation tools; results of a normalized policy for constructing a platform of models from various subsystems for an anthropomorphic robot and spacecraft are described. Within the framework of the presented example, complementary methods of digital multiphysics modeling, digital twins and machine learning are positioned.

References:

1. Romanov A.A. Prikladnoi sistemnyi inzhiniring [Applied Systems Engineering]. Moscow, FIZMATLIT, 2015.

2. Kondrat’ev V.V. Model’no-orientirovannyi sistemnyi inzhiniring 2.0 [Model-Based Systems Engineering 2.0]. Moscow, MFTI, 2021.

3. Garichev S.N., Gorbachev R.A., Davydenko E.V., Dzhaparov B.A., Kondrat’ev V.V. Model’no-orientirovannyi inzhiniring fiziko-tekhnicheskikh, informatsionnykh i intellektual’nykh system [Model-based Engineering of Physical, Technical, Information and Intelligent Systems]. Trudy MFTI, 2022, vol.

14, no 2.

4. Aleshchenko A.S., Klishev O.P., Kondrat’ev V.V., Rasskazov A.A. Sovmeshchenie arkhitekturnykh i matematicheskikh modelei v sistemnom inzhiniringe tekhnicheskikh system [Combination of Architectural and Mathematical Models in System Engineering of Technical Systems]. Kosmonavtika i raketostroenie, 2021, no 5.

5. Potyupkin A.Yu., Chechkin A.V. Iskusstvennyi intellekt. Na baze informatsionno-sistemnoi izbytochnosti [Artificial Intelligence. Based on InformationSystem Redundancy]. Mosc ow, Kurs, 2022.

6. GOST R 57700-37–2021. Komp’yuternye modeli i modelirovanie. Tsifrovye dvoiniki izdeliya. Obshchie polozheniya [GOST R 57700-37–2021. Computer

models and simulation. Digital twins of products. General provisions]. Kodeks. URL: https://docs.cntd.ru/document/1200180928

7. Borovkov A.I., Burdakov S.F., Klyavin O.I., et al. Komp’yuternyi inzhiniring [Computer Engineering]. Ucheb. posobie. Saint Petersburg, Izd-vo Politekhn.

un-ta, 2012.

8. Peredovye proizvodstvennye tekhnologii: vozmozhnosti dlya Rossii. Ekspertno-analiticheskii doklad: Monografiya [Advanced Manufacturing Technologies: Opportunities for Russia. Expert Analytical Report: Monograph]. Pod red. A.I. Borovkova. Saint Petersburg, Politekh-Press, 2020.