Модели для определения моментов контроля в многоуровневых организационных системах
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Models for defining control moments in multi-level organizational systems

Potudinskiy A.V.   idPreobrazhenskiy A.P.

UDC 65.012
DOI: 10.26102/2310-6018/2020.29.2.003

  • Abstract
  • List of references
  • About authors

Process control in organizational systems is an activity aimed at fulfilling tasks (plans, fulfilling orders) throughout the list of system processes. To accomplish this task, management must timely evaluate the implementation of the program, monitor the tendency of performers to deviate from the planned norm and direct the resources at its disposal to eliminate these deviations. In many areas, the calculation of the number of intermediate and final results is automated, and staff can at any time know the numbers that characterize the progress. However, in areas such as construction, high technology and some others, it is rather difficult to evaluate how the program is implemented. Each operation to show the actual implementation of the program and control the timing of each type of result requires full monitoring. This is an expensive operation, often requiring a suspension of the process. Therefore, it is desirable that this be done as rarely as possible, but at the same time, the moment should not be missed when the tendency to deviation will develop into a threat to the program. The process of managing the work of an organizational system of a single-purpose type is considered, the volume of the program of which is expressed as a general equivalent - in units of output (tasks) or in cost. For programs that solve several important types of tasks, it is necessary to simultaneously monitor each type of task.

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2. Ben-Yair A., Burkov V.N. et al Active systems in stochastic project management, Proceedings of the Int. Conf. on Large-Scale Systems, Moscow: Institute of Control Sciences. 2010

3. Golenko D.I. Statistical Models in Production Control, Moscow: Statistica, 1973.

4. Burkov V.N. et al Models and mechanisms of operation of hierarchical systems (Review). Automation and Remote Control, 1977;11:106-131.

Potudinskiy Alexey Vladimirovich

Email: alepaha@yandex.ru

Voronezh Institute of High Technologies

Voronezh, Russian Federation

Preobrazhenskiy Andrey Petrovich

Email: app@vivt.ru

ORCID |

Voronezh Institute of High Technologies

Voronezh, Russian Federation

Keywords: control moment, organizational systems, program execution, modeling, single-purpose type

For citation: Potudinskiy A.V. Preobrazhenskiy A.P. Models for defining control moments in multi-level organizational systems. Modeling, Optimization and Information Technology. 2020;8(2). Available from: https://moit.vivt.ru/wp-content/uploads/2020/05/PotudinskyPreobrazhensky_2_20_1.pdf DOI: 10.26102/2310-6018/2020.29.2.003 (In Russ).

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