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SEE-Management by the Force of the Process Functioning System Based on the Output-Input Ratio: The Energy Aspect

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2020)

Abstract

The purpose of the study, the results of which are being introduced, is further improvement of the theoretical and practical procedures (methods) for measuring the energy of products and of OIR of the processes of functioning systems based on author’s models for efficiency components and their use to appropriate management by processes. The article specifies procedures of the specified type, which were given our previously published works. It was found that the OIR of the process and its effectiveness in the classical sense are equivalent with viewpoint of the characteristic process (as a qualitative component of its efficiency), but the first of these rates (OIR) describes the qualitative component of the efficiency process mainly from the point of view of benefits (profit), and the second states from the standpoint of losses (costs). It is substantiated that the rate of the quantitative component of OIR of the process is the same as the rate of the quantitative component effectiveness in the classical sense, but their qualitative components are distinguished. On the examples of certain processes we showed the practical realization of the methods measuring of OIR for the processes of functioning systems, invented by the authors and its application (together with methods of measuring other author’s rates) to manage by the force of the functioning such systems (precisely that is the scientific novelty of the proposed research results). It is emphasized that the proposed methods can be used for the study of complex systems of different types and levels of hierarchy.

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Correspondence to Nataliia Burennikova .

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Yarmolenko, V., Burennikova, N., Akselrod, R. (2021). SEE-Management by the Force of the Process Functioning System Based on the Output-Input Ratio: The Energy Aspect. In: Babichev, S., Lytvynenko, V., Wójcik, W., Vyshemyrskaya, S. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2020. Advances in Intelligent Systems and Computing, vol 1246. Springer, Cham. https://doi.org/10.1007/978-3-030-54215-3_45

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