Cite this article as:

Плотников П. К., Нахов . Ф., Плотников А. П. The Improvement of Operational Planning Activities of Instrument-making Enterprise on the Basis of the Mathematical Interpretation of its Dynamics. Izv. Saratov Univ. (N. S.), Ser. Economics. Management. Law, 2015, vol. 15, iss. 3, pp. 285-?.


Heading: 

The Improvement of Operational Planning Activities of Instrument-making Enterprise on the Basis of the Mathematical Interpretation of its Dynamics

Despite the fact that the methodology of operational
planning of industrial activities is a widely known and proven, there
remains the problem of choosing the optimal length of the planning
period, taking into account the system of factors affecting the activity
of the enterprise. In article the author’s approach to the determination
of the planning period, based on the mathematical interpretation of
the dynamics of production and economic activity of the enterprise.
Theoretical analysis. In control theory (technical devices and systems)
distinguish types of movement: self (movement in the absence
of external influences arising from the internal properties of devices
and systems and perturbations of the initial conditions) and involuntary
(movement caused by external influences). Methods. In article the
objective of the study, mainly native speakers of instrument-making
enterprice based on real data of its work. Discusses two quarters:
4th quarter of 2013 and 1st quarter of 2014. Taken into account that
changes in plans are staggered in the beginning of each month for
the previous results, and the end of the month they and other conditions
of work of instrument-making enterprice does not change. Thus
entered speed feedback in the control of production and thus speed
effects on production are payable only at the beginning of the month
and then does not change until the beginning of the next. Results. In
summary, a correlation between almost produced products and their
sense of their difference –Δx) characterized non-harmonic oscillatory
process irregularity Δx of the work. Experimental graphics Δx
described mathematically, are computer simulations showing close
values of the estimated and actual processes on the uneven production
Δx. Conclusions. Theproposed approach has allowed us to
construct a simple algorithm for predicting the release of products,
as well as a simple control algorithm of instrument-making enterprice
work, allowing to reduce 2–3 times the oscillatory component of the
non-uniformity of the manufactured products

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