Mechanisms for managerial decision making during the digitalization of production processes for an industrial enterprise

Introduction. The relevance of studying the industrial enterprise digitalization processes and developing a methodology for implementing production process control systems is due to the fact that digital technologies introduced into the manufacturing sector are important drivers for improving produc...

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Main Authors: Makarova, Elena Lvovna, Фирсова , Анна Александровна, Dergachev, Andrey Andreevich
Format: Article
Language:English
Published: Saratov State University 2023-08-01
Series:Известия Саратовского университета. Новая серия: Серия «Экономика. Управление. Право»
Subjects:
Online Access:https://dev.eup.sgu.ru/sites/eup.sgu.ru/files/text-pdf/2023/08/ekonomika_2023_3-299-306.pdf
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author Makarova, Elena Lvovna
Фирсова , Анна Александровна
Dergachev, Andrey Andreevich
author_facet Makarova, Elena Lvovna
Фирсова , Анна Александровна
Dergachev, Andrey Andreevich
author_sort Makarova, Elena Lvovna
collection DOAJ
description Introduction. The relevance of studying the industrial enterprise digitalization processes and developing a methodology for implementing production process control systems is due to the fact that digital technologies introduced into the manufacturing sector are important drivers for improving production management processes, improving labor productivity indicators, reducing the labor intensity of manufacturing products, reducing the cost of products and increasing quality. Theoretical analysis. The information systems and products most commonly used in modern practice of industrial enterprises in aviation industries are analyzed. Empirical analysis. The analysis of options for making managerial decisions to create an ERP complex that automates the processes of production’s technological preparation was carried out using the methods of analyzing advantages and disadvantages, paired comparisons and Kepner – Trego. A mechanism for making informed management decisions on the analysis of alternatives is presented, as well as the evaluation and selection of options for digitalization of the technological preparation processes based on the use of the principles of developing a management decision. Results. The choice of the Global ERP system for managing production preparation processes at industrial enterprises in the aircraft industry is justified, since it most closely matches the selected evaluation criteria.
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spelling doaj.art-bb4c956894874bbba900cf6f37b014ff2023-09-01T08:30:49ZengSaratov State UniversityИзвестия Саратовского университета. Новая серия: Серия «Экономика. Управление. Право»1994-25402542-19562023-08-0123329930610.18500/1994-2540-2023-23-3-299-306Mechanisms for managerial decision making during the digitalization of production processes for an industrial enterpriseMakarova, Elena Lvovna0Фирсова , Анна АлександровнаDergachev, Andrey Andreevich1Southern Federal University, 1, Engels str., Taganrog, 347928, RussiaPJSC “Taganrog Aviation Scientifi c and Technical Complex named after G. M. Beriev”, 1 Aviatorov Sq., Taganrog 347923, RussiaIntroduction. The relevance of studying the industrial enterprise digitalization processes and developing a methodology for implementing production process control systems is due to the fact that digital technologies introduced into the manufacturing sector are important drivers for improving production management processes, improving labor productivity indicators, reducing the labor intensity of manufacturing products, reducing the cost of products and increasing quality. Theoretical analysis. The information systems and products most commonly used in modern practice of industrial enterprises in aviation industries are analyzed. Empirical analysis. The analysis of options for making managerial decisions to create an ERP complex that automates the processes of production’s technological preparation was carried out using the methods of analyzing advantages and disadvantages, paired comparisons and Kepner – Trego. A mechanism for making informed management decisions on the analysis of alternatives is presented, as well as the evaluation and selection of options for digitalization of the technological preparation processes based on the use of the principles of developing a management decision. Results. The choice of the Global ERP system for managing production preparation processes at industrial enterprises in the aircraft industry is justified, since it most closely matches the selected evaluation criteria.https://dev.eup.sgu.ru/sites/eup.sgu.ru/files/text-pdf/2023/08/ekonomika_2023_3-299-306.pdfmanagerial decisionsdigitalizationpros and cons analysispaired-comparison methodindustrial enterprise
spellingShingle Makarova, Elena Lvovna
Фирсова , Анна Александровна
Dergachev, Andrey Andreevich
Mechanisms for managerial decision making during the digitalization of production processes for an industrial enterprise
Известия Саратовского университета. Новая серия: Серия «Экономика. Управление. Право»
managerial decisions
digitalization
pros and cons analysis
paired-comparison method
industrial enterprise
title Mechanisms for managerial decision making during the digitalization of production processes for an industrial enterprise
title_full Mechanisms for managerial decision making during the digitalization of production processes for an industrial enterprise
title_fullStr Mechanisms for managerial decision making during the digitalization of production processes for an industrial enterprise
title_full_unstemmed Mechanisms for managerial decision making during the digitalization of production processes for an industrial enterprise
title_short Mechanisms for managerial decision making during the digitalization of production processes for an industrial enterprise
title_sort mechanisms for managerial decision making during the digitalization of production processes for an industrial enterprise
topic managerial decisions
digitalization
pros and cons analysis
paired-comparison method
industrial enterprise
url https://dev.eup.sgu.ru/sites/eup.sgu.ru/files/text-pdf/2023/08/ekonomika_2023_3-299-306.pdf
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