scholarly journals MODELING AND STRUCTURING OF ENTERPRISE MANAGEMENT SYSTEM RESORT SPHERE BASED ON ELEMENTS OF NEURAL NETWORK THEORY: THE METHODOLOGICAL BASIS

2015 ◽  
pp. 217-220
Author(s):  
Rena R. Timirualeeva ◽  
Igor Yu. Grishin
Author(s):  
Evgen Yuriiovych Sakhno ◽  
Nataliia Viktorivna Moroz ◽  
Serhii Ivanovych Ponomarenko

Urgency of the research. The study of the methods of economic and financial evaluation of the effectiveness of development projects is an underdeveloped area of economic knowledge, due to the impossibility of predicting the obstacles associated with investments in the future, and the implementation of such projects is most often associated with risk and uncertainty. Target setting. Therefore, in this case, it is proposed to use fuzzy logic theory, which defines a modern approach to describe business processes that present uncertainty and inaccuracy of the source information. Actual scientific researches and issues analysis. The question of using the theory of fuzzy logic in the management of development projects is highlighted in the scholarly works of Ukrainian and foreign scholars such as Asai K, Borisov A. N., Gordienko I. V., Semenenko M. V., Mityushkin Yu. I., Mokin B. I. and others. Uninvestigated parts of general matters defining. Known studies have shown that classical control methods work quite effectively at fully deterministic control objects and environments, and for systems with incomplete information and high complexity, fuzzy analysis methods that are optimal to be adapted to a modern project management system for constructing an integrated neural network are optimal. The research objective. The task is to use the fuzzy models to move on to the development of modern management technology with the use of artificial neural networks to integrate the enterprise management system and development projects. The statement of basic materials. The transition from traditional control systems to systems with fuzzy logic occurs using fuzzy variables. Let's consider the process of neural network modeling in the integration of enterprise management systems and development projects for the construction of a single integrated enterprise management system. Conclusion. In this paper we propose a methodology for the implementation of investment projects for the implementation of information systems based on fuzzy-plural approach, which allows to take into account qualitative aspects that do not have an exact numerical evaluation.


2020 ◽  
Vol 10 (2) ◽  
pp. 88-98
Author(s):  
F. P. Zotov

The paper considers the problem of applying modern progressive management methods according to the criteria of efficiency and suitability, which are introduced into management system of Russian enterprises without much success. One of causes of this problem is the weak state of the corporate culture. The methodological basis of this study is the fundamental development of scientists in the scope of management methods and concepts on the paper’s subject. There is applied the methodical apparatus, that allows to evaluate of corporate culture levels in the enterprise in the initial and transformed states. The result of the work is approaches to transformations for Russian enterprises as a form of fullfledged development of the management system. The best examples and traditions of the practice of transnational and Russian companies, focused on obtaining a significant market advantage, are considered as the first step to creating an appropriate internal environment. The mechanism of corrective management actions (CMAM) is proposed, which allows for the promotion and support of transformations. The conclusion is that results of the study may be of interest to the leadership of Russian enterprises in reforming the enterprise management system.


2013 ◽  
Vol 380-384 ◽  
pp. 4792-4795
Author(s):  
Xin Yu Wang ◽  
Qing Song Zhang

The management information systems have been adopted in various areas with the increasing of popularity of computer technology. Library management system is one of the typical applications. Neural network can greatly help the library management system, especially in data analyzing function. This paper designs the library management system based on neural network theory,taking bibliographic classification as an example. The new model expands the original system.


Author(s):  
Vyacheslav Danilin ◽  
◽  
Andrey Pleshchynski ◽  
Alexander Stavchikov ◽  
Dmitry Zhdanov ◽  
...  

2020 ◽  
Vol 1 (11) ◽  
pp. 54-59
Author(s):  
E. S. GUROVA ◽  
◽  
E. P. ZNAMENSKAYA ◽  

The article considers one of the important criteria for improving the enterprise management system – making a high-quality management decision. This criterion affects the development of the organization's management system. The proposed method, using the implementation of the built-in quality system, will increase the number of high-quality decisions made, increase the ability of the management system to adapt to external changes, and contribute to the formation of a self-supporting system by using the internal reserves of the organization.


2017 ◽  
Vol 11 (1) ◽  
pp. 68-80
Author(s):  
E. E. Akimkina

A comparative analysis of different approaches to analytical data and shows that the most ample opportunities has a multi-dimensional approach, implemented with the help of OLAP technology. Presented multidimensional OLAP-cube model with the measurements for the analysis and processing of process data. Practical recommendations for the deployment of a multidimensional data modeling systems with regard to their integration into existing enterprise management system.


Author(s):  
V. F. Bezjazychnyi ◽  
E. V. Kiselev ◽  
V. A. Troshkin

Improvement of modern management systems for industrial enterprises involves the active use of risk management methods that are accompanied by their activities. Issues of production risks and their place in the General enterprise management system are discussed in the article. There is a classification of the main production risks and possible risk management methods applicable in the activities of an industrial enterprise.


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