Bìznes Inform (Oct 2019)
Activity of Industrial Enterprises: Essence, Morphology, Some Approaches to Measurement of Results
Abstract
The article clarifies the definition of «activity» in the context of the proposed and/or developed further on paradigms of «resources - activity - result» and «effectiveness - scale - performance» as a genetically modified form, taking into account the structure (composition) of this activity, involving herein the concept of «morphology of system» (with consideration of enterprise as a system at the micro-level). It is substantiated that in the researches concerning the activities of industrial enterprises as production systems, in addition to common scientific and well-known specific methods, approaches and instrumentarium of scientific developments, it is possible to take advantage of the possibility of supplementing the prevailing in modern economic theory method of structural analysis with a genetic approach. The basic signs have been defined and some classifications of the activities of industrial enterprises have been allocated. It is emphasized that the unity of the form and content of activity implies their relative self-sufficiency and active role of the form of activity in relation to its content. It is pointed out that in the process of activity the cause-effect relations should be taken into account. Making use of the modified Euler – Venn diagram, the logic-methodological link between the trueness of the paradigms of «resources – activity – result» and «effectiveness – scale – performance» of an industrial enterprise as a production system are illustrated, taking into account the essence of the category of efficiency, which combines the qualitative (effectiveness) and quantitative (scale) components. The first of the above paradigms is visualized in the context of «system input – output» (using the «black box») for exploration of further directions of the enterprise’s activities, taking into account existence of the internal and external environment. It is emphasized that the optimal managerial decision on performance can be sought in simple both scientific and specific methods. It is determined that the use of the theory of genetic algorithms as methods that allow finding the optimal solution to problems of any complexity, due to the fact that they operate not by the ways of obtaining results, but the results of solving problems, – serves as an effective means of finding the best solution for enterprises’ performance due to the principle of evolution embedded in such algorithms. The main stages and a variant of the genetic algorithm are provided.
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