{"id":3515,"date":"2025-08-06T13:23:45","date_gmt":"2025-08-06T12:23:45","guid":{"rendered":"https:\/\/izvestiyakbncran.ru\/?page_id=3515"},"modified":"2026-04-13T10:02:03","modified_gmt":"2026-04-13T09:02:03","slug":"27-3-2-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-3-2-en\/","title":{"rendered":"27.3.2 En"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-lora-font-family\" style=\"font-size:24px\"><strong>A neural network model for assessing the reliability of counterparties within a metallurgical enterprise&#8217;s procurement system<\/strong><\/h1>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-2933235196d0bb18440f251b83bc2e21\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong>V.V. Dyachkova, E.S. Kovalenko<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"\/>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-24a27e19 wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<p class=\"has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-fa99f84d8051eb763ab85c3007cdb1c2\" style=\"color:#5b1919;text-decoration:underline\"><strong><strong>Upload the full text<\/strong><\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-9151b400 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-15bf754d wp-block-buttons-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-small-font-size has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2025\/07\/dyachkova-kovalenko-2.pdf\" style=\"border-color:#5b1919;border-style:solid;border-width:2px;border-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40)\">PDF<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:0px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-273e683f\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-7d9700547001ae9561fcdb185ce63ccf\" style=\"line-height:1.4\"><strong><em><strong>Abstract<\/strong>.<\/em><\/strong> The article presents a neural network model for evaluating the reliability of counterparties within a metallurgical enterprise&#8217;s procurement system. <strong>Aim<\/strong>. The study aims to develop a neural network model to assess the reliability of counterparties within a metallurgical enterprise&#8217;s procurement management system. <strong>Results<\/strong>. The study involved collecting, analyzing and processing relevant data; conducting a comprehensive analysis of parameters characterizing suppliers, including financial, legal, operational, organizational and reputational indicators; constructing the model architecture; training and testing it on a sample; and comparing it with traditional assessment approaches. Testing the model showed that it has high forecasting accuracy and can be used in conditions of information uncertainty. This paper presents the prospects for integrating the model into the corporate information systems of metallurgical enterprises.<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-edba847d940194a674c0062f03efa482\" style=\"line-height:1.4\"><strong><em><strong>Keywords<\/strong>:<\/em><\/strong> procurement management, counterparty reliability, metallurgy, artificial intelligence, neural network, risk management, digitalization<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-0227ffbf89eb9fdb8c8ea2824635b2fe\" style=\"font-size:12px;line-height:1.4\"><strong><strong>For citation<\/strong>.<\/strong> Dyachkova V.V., Kovalenko E.S. A neural network model for assessing the reliability of counterparties within a metallurgical enterprise&#8217;s procurement system. <em>News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. Vol. 27. No. 3. Pp. 29\u201338. DOI: 10.35330\/1991-6639-2025-27-3-29-38<\/p>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-80b3950b7565d8e2c69c2f68a61176ad is-layout-flow wp-container-core-details-is-layout-0ab540ad wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>R<\/strong>eferences<\/summary>\n<ol style=\"margin-top:0;margin-bottom:0\" class=\"wp-block-list\">\n<li style=\"font-style:normal;font-weight:400\">Dyachkova V.V., Kovalenko E.S. Features of procurement activities of an industrial enterprise in the context of digitalization of the economy. 65 let DonGTI. Nauka i praktika. Aktual&#8217;nyye voprosy i innovatsii [65 years of DonSTI. Science and practice. Current issues and innovations]: Sbornik tezisov dokladov yubileynoy Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii, Alchevsk, October 13\u201314, 2022. Part 2. Alchevsk: Donbasskiy gosudarstvennyy tekhnicheskiy institut, 2022. Pp. 94\u201395. EDN: KSWVGH. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Dyachkova V.V., Kovalenko E.S. Modern digital tools in procurement management of an industrial enterprise. Napravleniya povysheniya effektivnosti upravlencheskoy deyatel&#8217;nosti organov gosudarstvennoy vlasti i mestnogo samoupravleniya [Directions for improving the efficiency of managerial activities of public authorities and local self-government]: Sbornik materialov V Mezhdunarodnoy nauchno-prakticheskoy konferentsii, Alchevsk, 15 dekabrya 2022 goda, Alchevsk, December 15, 2022. Alchevsk: Luganskiy gosudarstvennyy universitet imeni Vladimira Dalya, 2023.<br>Pp. 387\u2013390. EDN: KPRAQC. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Luzik A.D., Pyatkova E.V., Tareeva E.D., Antipov D.V. Creation of an automated system for evaluating potential suppliers. Ot kachestva instrumentov k instrumentam kachestva [From the quality of tools to quality tools]: Sbornik dokladov Vserossiyskoy nauchno-tekhnicheskoy konferentsii, Tula, October 19\u201320, 2023. Tula: Tul&#8217;skiy gosudarstvennyy universitet, 2023. Pp. 376\u2013380. EDN: GBPLKC. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Kazurova E.M. Evaluation of suppliers and recipients of medicines in a pharmacy warehouse. Bulletin of Pharmacy. 2024. No. 1(103). Pp. 26\u201330. DOI: 10.52540\/2074-9457.2024.1.26. EDN: PUSBJW. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Kachalov V.A., Dvorkin L.S., Skripko L.E. On the assessment and re-assessment of external suppliers. Quality Management Methods. 2020. No. 3. Pp. 48\u201353. EDN: NRYLOY. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Mishura L.G., Vasilyeva Yu.V. Supplier assessment taking into account the requirements of GOST R ISO 9001. Economics. Law. Innovations. 2020. No. 2. Pp. 4\u20139. EDN: ASYOOD. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Mitus K.N., Mitus A.A. Three-parameter method for supplier evaluation. Vector of Economics. 2020. No. 4(46). P. 75. EDN: EWZQLS. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Khersonsky N.S., Bolshedvorskaya L.G. Methods for selecting and evaluating suppliers taking into account the categorization of product and component parameters. Crede Experto: Transport, Society, Education, Language. 2023. No. 4. Pp. 6\u201319. DOI: 10.51955\/2312-1327_2023_4_6. EDN: VKMOFY. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Sivandaeva S.Yu. Audit as a mechanism for supplier evaluation. My Professional Career. Vol. 1. No. 32. Pp. 19\u201321. EDN: IBGGVF. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Kuzmina S.N., Silaeva V.V., Ekimova E.I. Methodology for ensuring the quality of the supplier evaluation process at food industry enterprises. Quality. Innovations. Education. 2022. No. 4(180). Pp. 3\u201311. DOI: 10.31145\/1999-513X-2022-4-03-11. EDN: DJMEUY. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Gordeev K.S., Zhidkov A.A., Ilyushina E.S. et al. Methods for searching, selecting, and assessing supplier reliability. Modern Scientific Research and Innovations. 2021. No. 3(119). P. 23. EDN: TGYGKD. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Levkin G.G. Methodology for evaluating the logistics activities of suppliers of an industrial enterprise. Logistics. 2024. No. 6(211). Pp. 14\u201316. EDN: KOQRDE. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Gulevich Yu.N., Nalivaiko G.M. Prospects for the use of IT in the selection and evaluation of suppliers of materials and components. Reports of the Belarusian State University of Informatics and Radioelectronics. 2021. Vol. 19. No. 5. Pp. 61\u201369. DOI: 10.35596\/1729-7648-2021-19-5-61-69. EDN: BEWIRM. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Dyachkova V.V., Kovalenko E.S. Organization of tender activities of an industrial enterprise in the context of digitalization of the economy. Innovatsii i informatsionnyye tekhnologii v usloviyakh tsifrovizatsii ekonomiki [Innovations and information technologies in the context of digitalization of the economy]: Sbornik tezisov dokladov mezhdunarodnoy nauchno-prakticheskoy konferentsii, Alchevsk, 27\u201328 aprelya 2023 goda. Alchevsk: Donbasskiy gosudarstvennyy tekhnicheskiy universitet, 2023. Pp. 141\u2013143. EDN: FWOLES. (In Russian)<\/li>\n<\/ol>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-1fd69347049d8b7f57645201a6d13181 is-layout-flow wp-container-core-details-is-layout-5dafc681 wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>Information about the authors<\/strong><\/summary>\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-b291ae12 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40)\">\n<p style=\"font-style:normal;font-weight:400\"><strong>Victoria V. Dyachkova<\/strong>, Candidate of Economic Sciences, Associate Professor of the Department of Information Technology, Donbass State Technical University;<br>294204, Russia, Lugansk People\u2019s Republic, Alchevsk, 16 Lenin avenue;<br>dyachkova.vika@gmail.com, ORCID: https:\/\/orcid.org\/0009-0003-9771-616X, SPIN-code: 5620-0952<br><strong>Ekaterina S. Kovalenko<\/strong>, Senior Lecturer of the Department of Information Technology, Donbass State Technical University;<br>294204, Russia, Lugansk People\u2019s Republic, Alchevsk, 16 Lenin avenue;<br>kathris92@gmail.com, ORCID: https:\/\/orcid.org\/0009-0009-8931-7138, SPIN-code: 9202-9286<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n<\/div>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>A neural network model for assessing the reliability of counterparties within a metallurgical enterprise&#8217;s procurement system V.V. Dyachkova, E.S. Kovalenko Upload the full text Abstract. The article presents a neural network model for evaluating the reliability of counterparties within a metallurgical enterprise&#8217;s procurement system. Aim. The study aims to develop a neural network model to [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-home","meta":{"footnotes":""},"class_list":["post-3515","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>27.3.2 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-3-2-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"27.3.2 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"A neural network model for assessing the reliability of counterparties within a metallurgical enterprise&#8217;s procurement system V.V. 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