Vol. 13 No. 73 (2024)
Articles

Consistency of quality management contours for the development of industrial enterprises on the basis of target contour planning

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  • Valeriia Kolosok,
  • Tatiana Zhovkovska,
  • Maryna Kravchenko,
  • Eduard Kolosok,
  • Liubov Honchar
Valeriia Kolosok
Pryazovskyi State Technical University, Mariupol - Dnipro, Ukraine.
Bio
Tatiana Zhovkovska
Chortkiv Vocational College of Economics and Entrepreneurship, Ternopil, Ukraine.
Bio
Maryna Kravchenko
Pryazovskyi State Technical University, Mariupol - Dnipro, Ukraine.
Bio
Eduard Kolosok
Pryazovskyi State Technical University, Mariupol – Dnipro, Ukraine.
Bio
Liubov Honchar
Donbass State Pedagogical University, Slovyansk, Ukraine.
Bio
DOI: https://doi.org/10.34069/AI/2024.73.01.6

Published 2024-01-30

Keywords

  • planning, contours of development, quality of development, enterprises.

How to Cite

Kolosok, V., Zhovkovska, T., Kravchenko, M., Kolosok, E., & Honchar, L. (2024). Consistency of quality management contours for the development of industrial enterprises on the basis of target contour planning. Amazonia Investiga, 13(73), 74–86. https://doi.org/10.34069/AI/2024.73.01.6

Abstract

To solve the problem of the qualitative development of industrial enterprises, which lies in the inconsistency of the contours of the quality of the development of the scientific task. The article proposes a methodical approach to the planning of the consistency of the contours of the quality management of the development of industrial enterprises based on the planning of the target contour based on the three-level system model and the means of multifactor modeling, the use of which will allow the management of the industrial enterprise to monitor the state of achievement/failure to achieve the planned development goals and timely identify the cause of this phenomenon during the normal process of management coordination, destabilization and recovery.
As a result of modeling and simulation experiments, a bank of levels of operations for various purposes and source data is obtained. The obtained sets of action sequences can be used as "road maps" in case of a real critical situation.
The proposed approach can be used to develop options for future plans for qualitative development of the enterprise by setting a target situation for a certain future moment in time and finding a sequence of intermediate situations of qualitative development of the enterprise, which leads to setting a goal.

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References

Akrong, G. B., Shao, Y., & Owusu, E. (2022). Evaluation of organizational climate factors on tax administration enterprise resource planning (ERP) system. Heliyon, 8(6), e09642. https://doi.org/10.1016/j.heliyon.2022.e09642

Antler, S., Cooperband, L., Coker, C.S., Schwarz, M., & Rynk, R. (2022). Chapter 2 - Enterprise planning, Editor(s): Robert Rynk, The Composting Handbook. Academic Press, 27-49. https://doi.org/10.1016/B978-0-323-85602-7.00006-6

Fobel, P., & Kuzior, A. (2019). The future (Industry 4.0) is closer than we think. Will it also be ethical? AIP Conference Proceedings, 2186(1). https://doi.org/10.1063/1.5137987

Holmes, L. (2012). The Dominance of Management: A Participatory Critique. Voices in Development Management. Ashgate Publishing, Ltd. p. 20. ISBN 978-1-4094-8866-8.

Hroznyi, I. (2014). Theory and practice of quality management of the development of industrial enterprises based on a coherent approach: monograph. Zaporizhzhia: KPI, 300. ISBN 978-966-414-202-8

Hroznyi, I., Kuzmak, O., Kuzmak, O., & Rusinova, O. (2018). Modeling management of diversification of foreign economic interactions. Problems and Perspectives in Management, 16(1), 155-165. http://dx.doi.org/10.21511/ppm.16(1).2018.15

Kuzior, ?., Kwilinski, A., & Hroznyi, I. (2021). The Factorial-Reflexive Approach to Diagnosing the Executors’ and Contractors’ Attitude to Achieving the Objectives by Energy Supplying Companies. Energies, 14(9), 2572. https://doi.org/10.3390/en14092572

Martins, E. J., & Belfo, F. P. (2023). Major concerns about Enterprise Resource Planning (ERP) systems: A systematic review of a decade of research (2011-2021). Procedia Computer Science, 219, 378-387. https://doi.org/10.1016/j.procs.2023.01.303

Nofal, M. I., & Yusof, Z. M. (2013). Integration of Business Intelligence and Enterprise Resource Planning within Organizations. Procedia Technology, 11, 658-665. https://doi.org/10.1016/j.protcy.2013.12.242

Pierre, D., & Carole, D. (2018). "Complexity, uncertainty and mental models: From a paradigm of regulation to a paradigm of emergence in project management". International Journal of Project Management, 36(1), 184-197. https://doi.org/10.1016/j.ijproman.2017.07.004

Repin, V., & Eliferov, V. (2013). Process approach to management. Modeling of business processes. M: Mann, Ivanov and Feber, 544. https://acortar.link/cXMBo7

Shi, X., Zhou, F., & Wang, Z. (2021). Research on optimization of ecological service function and planning control of land resources planning based on ecological protection and restoration. Environmental Technology & Innovation, 24, 101904. https://doi.org/10.1016/j.eti.2021.101904

Tarasova, H., Kondrashova, L., Chuvasova, N., Kondrashov, M., & Tsikh, H. (2021). A combination of forecasting internal and external crises in managing the development of educational institution. Amazonia Investiga, 10(47), 35-46. https://doi.org/10.34069/AI/2021.47.11.4

Tupkalo, V.M. (2020). The method of implementation of management consulting projects based on a systemic business-oriented approach. Economic Bulletin KPI, 17, 306–314. https://ela.kpi.ua/bitstream/123456789/47561/1/EV-2020-17_p306-314.pdf

Wang, Z., Deng, Y., Zhou, S., & Zhongbang, W. (2023). Achieving sustainable development goal 9: A study of enterprise resource optimization based on artificial intelligence algorithms. Resources Policy, 80, 103212. https://doi.org/10.1016/j.resourpol.2022.103212

Wang, Z. X., Jv, Y. Q., Wang, Z. D., & Ma, J. H. (2023). Coordination estimation of enterprise resource planning and manufacturing execution system diffusion in China’s manufacturing industry: A panel Lotka-Volterra method. Computers & Industrial Engineering, 176, 108923. https://doi.org/10.1016/j.cie.2022.108923