Iterative signal processing in anticipatory management of industrial enterprise development
DOI:
https://doi.org/10.34021/ve.2018.01.01(4)Keywords:
management, development, signal, enterprise, iteration, filter, noise, correction, management decisionAbstract
The article proposes the use of an iterative approach in anticipatory management that is based on a two-stage iteration of the noise correction of the detected signal and the establishment of a signal response base, which ensures obtaining the most accurate original content of the signal and the scope of the industrial enterprise by the intensity of its manifestation. It is expedient to establish a maximum and a minimum threshold value of the force of the detected and devoid of noise original signal in the established field of activity of the industrial enterprise (review base). Setting the maximum and minimum threshold values is a necessary task, both in the case of forecasting the onset of crisis events, and in the case of identifying favorable conditions for development. It is proved that the principle of iterative signal processing is universal for controlling signals, which indicate the approach of critical events and opportunities for development. The developed approach can be applied in the anticipatory management in the internal and external environment of the industrial enterprise
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References
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Barinov, V. A., & Kharchenko, V. L. (2006). SWOT-analiz: vzaimosvyazi vnutrennej i vneshnej sredy [SWOT-analysis: interconnections between the internal and external environment]. Strategicheskij menedzhment - Strategic management (pp. 138-143). Moskva: INFRA-M (in Russian).
Berry, A., Sweeting, R., & Holt, R. (2007). Constructing risk management: framing and reflexivity of small firm owner-managers. Proceedings of the 1st European Risk Management Conference, University of Münster, 5–7 September, 1–23.
Cockburn, A. (2008). Using both incremental and iterative development. STSC CrossTalk USAF Software Technology Support Center, 21(5), 27–30.
Guselbaeva, G., & Pachkova, O. (2015). The Estimation of Property and Business in the Anti-Crisis Measures. Procedia Economics and Finance, 27, 501-506. https://doi.org/10.1016/S2212-5671(15)01027-8
Hedouri, F., Albert, M., & Meskon, M. (2007). Osnovy menedzhmenta [Fundamentals of Management]. Moskva: Viliams (in Russian).
Kuzylyak, V., Yakovchuk, R., Samilo, A., Povstyn, O., & Shyshko, V. (2016). Pidkhody do rozroblennia ta pryiniattia upravlinskykh rishen v umovakh nevyznachenosti ta ryzyku [Approaches to the development and adoption of managerial decisions under conditions of uncertainty and risk]. Bulletin of the National University Lviv Polytechnic, 4, 218-224 (in Ukrainian).
Кwilinski, A. (2018). Mechanism of modernization of industrial sphere of industrial enterprise in accordance with requirements of the information economy. Marketing and Management of Innovations, 4, 116-128. http://doi.org/10.21272/mmi.2018.4-11
Larman, C., & Basili V. (2003). Iterative and Incremental Development: A Brief History (PDF). IEEE Computer. IEEE Computer Society, 36(6), 47–56.
Milova, Y.Y., & Chernyshenko, M.S. (2015). Sravnitel'nyj analiz instrumentov kompleksnoj ocenki vneshnej i vnutrennej sredy predpriyatiya [Comparative analysis of integrated assessment tools of enterprise external and internal environment]. Vestnik Irkutskogo gosudarstvennogo tekhnicheskogo universiteta - Herald of the Irkutsk State University, 11(106), 245-251 (in Russian).
Norik, L.O. (2005). Konkurentnyi status pidpryiemstva vyznachennia i formalizatsiia [Competitive status of the enterprise: definition and formalization]. Komunalne hospodarstvo mist, 61, 99-105 (in Ukrainian). Retrieved from https://khg.kname.edu.ua/index.php/khg/article/view/2402/2387
Ognev, D. V., & Chernyshenko, M. S. (2013). Ocenka vneshnej i vnutrennej sredy malyh innovacionnyh predpriyatij na baze uchebnyh organizacij [Evaluation of external and internal environment of the small innovative enterprises based on educational organizations]. Vestnik ekonomicheskoj integracii - Herald of Economic Integration, 11(68), 73-80 (in Russian).
Pająk, K. Kamińska, B., & Kvilinskyi, O. (2016). Modern trends of financial sector development under the virtual regionalization conditions. Financial and Credit Activity: Problems of Theory and Practice 2(21), 204-217. https://doi.org/10.18371/fcaptp.v2i21.91052
Pająk, K., Kvilinskyi, O., Fasiecka, O., & Miśkiewicz, R. (2017). Energy security in regional policy in Wielkopolska region of Poland. Economics and Environment, 2(61), 122-138.
Pamučar, D. S., Božanić, D., & Ranđelović, A. (2017). Multi-criteria decision making: an example of sensitivity analysis. Serbian Journal of Management, 12(1), 1-27. https://doi.org/10.5937/sjm12-9464
Tan, R.R., Aviso, K.B., Cayamanda, C.D., Chiu, A.S.F., Promentilla, M.A.B., Ubando, A.T., & Yu, K.D.S. (2016). A fuzzy linear programming enterprise input–output model for optimal crisis operations in industrial complexes, International Journal of Production Economics, 181, Part B, 410-418. https://doi.org/10.1016/j.ijpe.2015.10.012
Voloshchuk, L. O. (2014). Klasyfikatsiia pidkhodiv ta metodiv formuvannia analitychnykh instrumentiv otsiniuvannia ekonomichnoi bezpeky promyslovoho pidpryiemstva [Classification of approaches and methods of analytical tools for assessing the economic safety of an industrial enterprise]. Economics: Time Realities, 5(15), 224-231 (in Ukrainian).
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Published
2018-10-17
How to Cite
Kamińska, B. (2018). Iterative signal processing in anticipatory management of industrial enterprise development. Virtual Economics, 1(1), 53–65. https://doi.org/10.34021/ve.2018.01.01(4)
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