Assessing Potential of Import Substitution in Industry Based on Multi-Criteria Rating of Alternatives by Integral Indicator of Efficiency
https://doi.org/10.21686/2413-2829-2024-4-15-24
Abstract
The article provides a mathematic model of assessing the potential of import substitution at big industrial enterprises and in branches of production. The practical use of the model is carried out in conditions of Russian highly technological enterprise passing-over to home material and technical base of components in order to ensure technological independence. Assessment of import substitution potential is based on building the optimum plan of settling the transport task and level of suppliers’ product deficit by goods nomenclature in the optimum plan of settling the open transport task of product completing. The task is studied in view of manufacturing traction electric motors used in producing military equipment as well as products of civil and dual purpose in cooperation with contracting parties (suppliers) of components. In this case concrete variants of completing electric motors can influence both quality and price of the final product. In the mathematic model all components are estimated by cost and rated by usefulness hierarchy. For electric motors the equal contribution of forces to component cost was found.
About the Authors
T. A. Berkutova
All-Russia Scientific and Research Institute "Center"
Russian Federation
Russian Federation
Tatiana A. Berkutova - Doctor of Economics, Assistant Professor, Chief Researcher
1 building, 11 Sadovaya-Kudrinskaya Str., Moscow, 123242
G. A. Blagodatsky
Kalashnikov Izhevsk State Technical University
Russian Federation
Russian Federation
Grigory A. Blagodatsky - Doctor of Technical Sciences, Associate Professor, Associate Professor of the Department «Information Systems»
7 Studentskaya Str., Izhevsk, Udmurtskaya Respublika, 426069
M. M. Gorokhov
Federal State Institution Research Institute of the Federal Penitentiary Service of Russia
Russian Federation
Russian Federation
Maxim M. Gorokhov - Doctor of Physical and Mathematical Sciences, Professor, Chief Researcher
1 building, 15А Narvskaya Str., Moscow, 125130
References
1. Berkutova T. A., Mishchenkova O. V., Yakimovich B. A. Povyshenie effektivnosti rynochnoy deyatelnosti predpriyatiy na osnove upravleniya izmeneniyami [Raiing Efficiency of Enterprise Market Activity Based on Change Management]. Vestnik Udmurtskogo universiteta. Seriya: Ekonomika i pravo [Bulletin of the Udmyrtskiy University. Series: Economics and Law], 2023, Vol. 33, No. 1, pp. 9–20. (In Russ.).
2. Zavarukhin V. P., Kleeva L. P. Sistema otsenki rezultativnosti NIOKTR kak osnova monitoringa nauchno-tekhnologicheskoy sfery [The System of Estimating R&D Efficiency as Basis for Monitoring Scientific and Technological Sphere]. Ekonomika nauki [Economics of Science], 2023, Vol. 9, No. 1, pp. 56–66. (In Russ.).
3. Zelenkovskaya N. V. Metodicheskoe obespechenie sanatsii promyshlennykh predpriyatiy [Methodological Support for Reorganizing Industrial Enterprises]. Novosti nauki i tekhnologiy [News of Science and Technologies], 2023, No. 1 (64), pp. 48–53. (In Russ.).
4. Kvyatkovskaya I. Yu., Vo Tkhi Khuen Chang, Chan Kuok Toan. Model i algoritm podderzhki prinyatiya resheniya po vyboru produktov dlya rekomendatsii polzovatelyu na osnove metoda analiza statisticheskoy implikatsii [Model and Algorithm of Decision-Making Support on Product Choice to Recommend the User Based on the Method of Analyzing Statistic Implication]. Vestnik Astrakhanskogo gosudarstvennogo tekhnicheskogo universiteta. Seriya: Upravlenie, vychislitelnaya tekhnika i informatika [Bulletin of the Astrakhan State Technical University. Series: Management, Computing Machinery and IT], 2023, No. 2, pp. 116–124. (In Russ.).
5. Korablev Yu. A., Loseva D. M., Shestopalov M. Yu. Prognozirovanie potentsialno vozmozhnykh neispravnostey tekhnicheskoy sistemy na osnove nechetkikh grafov i nechetkikh kognitivnykh kart [Forecasting Potential Failures of Technical System Based on Odd Graphs and Odd Cognitive Maps]. Izvestiya SPbGETU LETI, 2023, No. 3, pp. 46–51. (In Russ.).
6. Korneenko V. P. Metody vybora mediany ranzhirovaniya soglasovannosti ekspertnykh otsenok po kriteriyu blizosti v rangovoy shkale [Methods of Choosing the Median for Rating Expert Appraisal Coordination by Criterion of Closeness in Rating Scale]. Upravlenie bolshimi sistemami: sbornik trudov [Managing Big Systems. Collection of works], 2023, No. 103, pp. 135–170. (In Russ.).
7. Kuznetsov L. G., Burakov A. V., Gribanov D. A., Khotskiy R. R. Metodika rascheta trudoemkosti razrabotki sudovykh kompressornykh stantsiy s ispolzovaniem analoga na osnove ranzhirovaniya tekhnicheskikh kharakteristik [Methodology of Estimating Labour Intensity of Developing Ship Compressor Plants Using the Analogue Based on Technical Characteristic Rating]. Morskoy vestnik [Sea Bulletin], 2023, No. 2 (86), pp. 65–67. (In Russ.).
8. Kulikova E. Yu., Balovtsev S. V., Skopintseva O. V. Kompleksnaya otsenka geotekhnicheskikh riskov v shakhtnom i podzemnom stroitelstve [Complex Assessment of Geo-Technical Risks in Shaft and Undersurface Construction]. Ustoychivoe razvitie gornykh territoriy [Sustainable Development of Mining Territories], 2023, Vol. 15, No. 1 (55), pp. 7–16. (In Russ.).
9. Loginovskiy O. V., Maksimov A. A., Shchemlev M. V., Boger A. M. Matematicheskaya model vybora postavshchika metalloobrabatyvayushchego oborudovaniya v usloviyakh neobkhodimosti dostizheniya tekhnologicheskogo suvereniteta [Mathematic Model for Choosing Metal-Working Equipment in Conditions of the Necessity to Attain Technological Sovereignty]. Sistemy upravleniya i informatsionnye tekhnologii [Management Systems and IT], 2023, No. 2 (92), pp. 86–92. (In Russ.).
10. Lubentsov A. V. Sintez modeli polucheniya kharakteristik effektivnosti kompleksnoy sistemy bezopasnosti na baze metoda analiza ierarkhiy [Synthesis of the Model of Getting Characteristics of Complex Security System Efficiency Based on Method of Hierarchy Analysis]. Modelirovanie, optimizatsiya i informatsionnye tekhnologii [Modeling, Optimization and IT], 2023, Vol. 11, No. 1 (40), pp. 12–13. (In Russ.).
11. Melnikov A. V., Chetverikova A. I. Modeli prinyatiya resheniy pri operativnom upravlenii silami i sredstvami organov vnutrennikh del [Models for Decision-Making in Operative Managing Forces and Means of Home Affaires Bodies]. Vestnik Voronezhskogo instituta MVD Rossii [Bulletin of the Voronezh Institute under the Ministry of Home Affairs of Russia], 2023, No. 1, pp. 40–47. (In Russ.).
12. Mityagina M. N., Nazarevich S. A. Primenenie metoda apriornogo ranzhirovaniya pri otsenke urovnya gotovnosti tekhnologii v slozhnoy tekhnicheskoy sisteme [Using the Method of A Priory Rating to Estimate Level of Technology Readiness in Complicated Technical System]. Sistemnyy analiz i logistika [System Analysis and Logistics], 2023, No. 2 (36), pp. 45–53. (In Russ.).
13. Podoplelova E. S. Analiz metodov mnogokriterialnogo prinyatiya resheniy na primere zadachi ranzhirovaniya [Analyzing Methods of Multi-Criteria Decision-Making Illustrated by Rating Task]. Izvestiya YuFU. Technical Sciences, 2023, No. 3 (233), pp. 118–125. (In Russ.).
14. Pupkov K. A., Voronov E. M., Karpunin A. A. Optimalnoe upravlenie mnogoobektnymi mnogokriterialnymi sistemami, strukturnyy sintez i ierarkhicheskoe uravnoveshivanie v intellektualnykh sistemakh upravleniya [Optimal Management of Multi-Project Multi-Criteria Systems, Structural Synthesis and Hierarchical Balancing in Intellectual Systems of Management]. Vestnik Rossiyskogo universiteta druzhby narodov. Seriya: Inzhenernye issledovaniya [Bulletin of the Russian University of Peoples’ Friendship. Series: Engineering Research], 2010, No. 4, pp. 73–78. (In Russ.).
15. Reznichenko I. Yu., Shafray A. V., Ruban N. Yu., Donchenko T. A. Ranzhirovanie sensornykh kharakteristik pishchevykh produktov s pomoshchyu neyronnykh setey [Rating of Sensor Characteristics of Foods with the Help of Neuron Nets]. Pishchevaya promyshlennost [Food Industry], 2023, No. 3, pp. 97–101. (In Russ.).
16. Smerchinskaya S. O., Yashina N. P. Dekompozitsiya zadachi prinyatiya resheniy na urovni predpochteniya mazhoritarnogo grafa [Decomposition of Decision-Making Task on Priority Level of Majority Graph]. Izvestiya Rossiyskoy akademii nauk. Teoriya i sistemy upravleniya [Izvestiya of the Russian Academy of Sciences. Theory and Management Systems], 2023, No. 1, pp. 106–122. (In Russ.).
17. Tulenkov M. S. Metod ekspertnykh otsenok promyshlennogo predpriyatiya [Method of Expert Appraisal of Industrial Enterprise]. Internauka, 2023, No. 5-3 (275), pp. 42–44. (In Russ.).
18. Tsukerman V. A., Goryachevskaya E. S. Otsenka promyshlennogo potentsiala gornodobyvayushchego sektora arkticheskikh regionov Rossii [Estimating Industrial Potential of Mining Sector in Arctic Regions of Russia]. Sever i rynok: formirovanie ekonomicheskogo poryadka [The North and Market: Establishing Economic Order], 2023, Vol. 26, No. 2 (80), pp. 38–54. (In Russ.).
19. Eder L. V., Zubarev G. V., Zabolotnaya Yu. I. et al. Osnovnye tendentsii v razvitii mineralno-syrevoy bazy PAO "Gazprom" i podkhody k planirovaniyu ee razvitiya [Key Trends in the Development of Mineral and Raw Material Base of the Company ‘Gasprom’ and Approaches to Planning its Progressing]. Gazovaya promyshlennost [Gas Industry], 2023, No. S2 (849), pp. 44–48. (In Russ.).
20. Yurlov F. F., Andrianova I. D., Titov V. V., Plekhanova A. F. Analiz effektivnosti predpriyatiy po proizvodstvu avtokomponentov na sovremennom etape razvitiya [Analyzing Efficiency of Enterprises Producing Automobile Components on Today’s Stage of Development]. Razvitie i bezopasnost [Development and Security], 2023, No. 2 (18), pp. 50–60. (In Russ.).
21. Djuricic I. D. Application of Cube IQ Software and Multicriteria Optimization Models for the Selection of Vehicles for the Transport of Goods in the Serbian Armed Forces. Military Technical Courier, 2023, Vol. 71, No. 2, pp. 257–295.
Review
For citations:
Berkutova T.A., Blagodatsky G.A., Gorokhov M.M. Assessing Potential of Import Substitution in Industry Based on Multi-Criteria Rating of Alternatives by Integral Indicator of Efficiency. Vestnik of the Plekhanov Russian University of Economics. 2024;(4):15-24. (In Russ.) https://doi.org/10.21686/2413-2829-2024-4-15-24
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