Introduction. 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 –∆x) characterized non-harmonic oscillatory process irregularity ∆x of the work. Experimental graphics ∆x described mathematically, are computer simulations showing close values of the estimated and actual processes on the uneven production ∆x. 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.