( Pp. 47-53)

More about authors
Babushkin Vitaly Mikhailovich kandidat ekonomicheskih nauk, docent
FSBEI HE "KNRTU-KAI" Sharafeev Ilgizar Shayheevich doktor tehnicheskih nauk, professor
FSBEI HE "KNRTU-KAI" Valiullin Rafik Zuferovich kandidat fiziko-matematicheskih nauk, docent
FSBEI HE "KNRTU-KAI" Mingaleev Gaziz Fuatovich doktor ekonomicheskih nauk, professor, zaveduyuschiy kafedroy
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The article presents an approach to planning the organization of production, in which the increase in productivity can be considered as a result of the implementation of predictive models of data Analytics and forecasting of events at each level of planning. Considered and justified mathematical model of optimization of resources of the enterprise, implemented in a three- tier system adaptive planning with the formation of indicators, optimization of production and allowing it to form the most effective scenarios of solving the problem maximize performance subject to qualitative changes in the organization of production related scientific and technical progress and forecasting trends. The formulated conceptual apparatus allows us to consider productivity as a function that reflects the impact on the production system of modern methods of planning and information technologies of production organization in time, which significantly expands the possibilities of theoretical research in the field of production organization. The three-level system of adaptive planning described in this article contributes to the development of the theory of optimizing the use of enterprise resources and the organization of efficient production. The application of the approach to adaptive planning of production organization presented in the article allows to expand the range of solutions to improve the productivity of enterprises by promptly responding to changes in its performance using modern technologies of lean and digital production.
How to Cite:
Babushkin V.M., Sharafeev I.S., Valiullin R.Z., Mingaleev G.F., (2019), ADAPTIVE PLANNING OF THE PRODUCTION ORGANIZATION INDUSTRIAL ENTERPRISE. Computational Nanotechnology, 3: 47-53. DOI: 10.33693/2313-223X-2019-6-3-47-53
Reference list:
Salimov R.I., Mingaleev G.F. The Regional Policy of Industrial IPM Services for the Development of Knowledge Potential in Russia, Implementing International Services. A Tailor Able Method for Market Assessment, Modularization, and Process Transfer. Wiesbaden: Springer - Verlag. 2012. R. 425-435.
Nadreeva L. and Abramov V. Problems and directions for improving labor rating // Proceedings of the 30th International Business Information Management Association Conference, IBIMA 2017 - Vision 2020: Sustainable Economic development, Innovation Management, and Global Growth 2017 January. R. 1184-1190.
Gumerov A.V., Biktemirova M.K., Babushkin V.M., Nuryyakhmetova S.M., Moiseev R.E., Nikolaeva A.B., Kharisova R.R., Rukomoinikova V.P. Quality functions modeling of industrial enterprises products, International Review of Management and Marketing. 2016. Vol. 6, Is. 1. P. 165-169.
Bikmullin A., Pavlov B., Khusainov Z., Mingaleev G. Defining Composite Indicators of Complex Production Systems // Journal of Advanced Research in Dynamical and Control Systems. 2018. № 13 (Special Is. 13). R. 702-706.
Telishev A.M., Garifullin R.F., Zilyaneva O.E. Razrabotka rekomendatsiy po sovershenstvovaniyu informatsionnoy sredy promyshlennogo predpriyatiya // Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta im. A.N. Tupoleva. 2016. T. 72. № 3. S. 74-77.
Kosterin A.V., Mingaleev G.F., Babushkin V.M., Silenov M.A. Realizatsiya metodov berezhlivogo proizvodstva s primeneniem trekhmernoy grafiki dlya konkretnoy proizvodstvennoy zadachi // Vestnik Kazanskogo tekhnologicheskogo universiteta. 2015. T. 18. № 4. S. 238-241.
Lunev N.A., Mingaleev G.F., Trutnev V.V. Organizatsiya tsifrovogo proizvodstva na baze programmno-apparatnogo kompleksa planirovaniya i monitoringa proizvodstvennykh protsessov // Vestnik Kazanskogo gosudarstvennogo tekhnicheskogo universiteta im. A.N. Tupoleva. 2017. № 3. S. 76-81.