Simulation of Innovative Systems under Industry 4.0 Conditions
Abstract
:1. Introduction
- —
- A complex organizational structure (in the form of a tree of objectives, structural, and functional schemes);
- —
- a dynamic system of indicators characterizing the state of the IS’s activities, in particular the system of performance indicators provided by accounting and analysis systems;
- —
- mathematical models and intelligent software and technical complexes for estimating and forecasting the results of the activity of innovative economic systems, making optimal decisions that can be implemented as an integrated management information system;
- —
- compensation system (incentive and wages, career strategy, etc.).
2. Literature Review
3. Methods
4. Results and Discussion
- C1—
- production of intellectual products; C11—generating ideas; C12—research work; C13—design and development work; C14—experimental work;
- C2—
- production of intellectual products; C21—development of production; C22—production; C23—sales;
- C3—
- training; C31—knowledge; C32—skills (actions and operations); C33—Submission of submissions; C34—use of innovative technologies; C35—Study of the educational process and decision making on its condition;
- C4—
- introduction and use of innovations; C41—resources; C4—process; C43—food products; C44—market; C45—managerial; C46—organizational;
- C5—
- management; C51—forecasting; C52—the formation of goals; C53—planning; C54—coordination; C55—organization; C56—stimulation; C57—control; C58—regulation.
- -
- The consideration of IS as open and controlled systems;
- -
- the division and study of states of characteristics of their external and internal efficiency;
- -
- a targeted approach to substantiating performance evaluations that cover all major components of the system (primarily inputs, transformations, outputs, and feedback);
- -
- the transition from one-liter to multi-criterion (by verticals and horizontals of the hierarchy) of the evaluation of the performance standard;
- -
- the use of system-wide and partial characteristics: Criteria and indicators of expected results (minimum, maximum, etc.), system status indicators, for example, on the development and achievement of the main objective of the IS, and the search for ways to harmonize the criteria for the effectiveness of such systems;
- -
- a comparative analysis of the actual information and economic performance indicators of some IS with the characteristics of others, as well as subjective and cost-effective and documentary sources of performance information;
- -
- a situational approach to the selection of criteria and performance indicators, according to which the type of organizational management system dictates the main type of performance standard.
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Shpak, N.; Odrekhivskyi, M.; Doroshkevych, K.; Sroka, W. Simulation of Innovative Systems under Industry 4.0 Conditions. Soc. Sci. 2019, 8, 202. https://doi.org/10.3390/socsci8070202
Shpak N, Odrekhivskyi M, Doroshkevych K, Sroka W. Simulation of Innovative Systems under Industry 4.0 Conditions. Social Sciences. 2019; 8(7):202. https://doi.org/10.3390/socsci8070202
Chicago/Turabian StyleShpak, Nestor, Mykola Odrekhivskyi, Kateryna Doroshkevych, and Włodzimierz Sroka. 2019. "Simulation of Innovative Systems under Industry 4.0 Conditions" Social Sciences 8, no. 7: 202. https://doi.org/10.3390/socsci8070202