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JOURNALS // Computational nanotechnology // Archive

Comp. nanotechnol., 2019 Volume 6, Issue 3, Pages 47–53 (Mi cn257)

This article is cited in 1 paper

05.02.00. MECHANICAL ENGINEERING
05.02.22 THE ORGANIZATION OF PRODUCTION

Adaptive planning of the production organization industrial enterprise

V. M. Babushkin, I. Sh. Sharafeev, R. Z. Valiullin, G. F. Mingaleev

FSBEI HE "KNRTU-KAI"

Abstract: 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.

Keywords: resources, adaptive planning, productivity, labor intensity, optimization problem.

UDC: 65.011.46

DOI: 10.33693/2313-223X-2019-6-3-47-53



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