UDC 004.891.2
INFORMATION SYSTEM FOR THE FORMATION OF MANAGEMENT DECISIONS TO IMPROVE THE CURRENT SITUATION OF THE MANAGEMENT OBJECT
A. N. Pylkin, Dr. Sc. (Tech.), full professor, RSREU, Ryazan, Russia;
orcid.org/0000-0001-9925-2870, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. V. Tishkina, Ph. D. (Tech.), associate professor, RSREU, Ryazan, Russia;
orcid.org/0000-0002-6320-3513, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
The article considers the object of management as a middle-class enterprise, also describing which en terprise can be classified as such. The complexity of managerial decision-making in such an enterprise is due to many factors, among which the incompleteness and uncertainty of initial data play a key role. In con stantly changing external environment and rapidly changing internal processes of an enterprise, managers are faced with the need to process and analyze a large amount of information, which is not always accurate or complete. To transform the information characterizing an enterprise into a form suitable for analysis and management decision-making, several steps need to be performed: data collection, purification, integration, data analysis and visualization, interpretation of results, decision-making, monitoring and evaluation of da ta. Converting information about an enterprise into a form suitable for analysis requires time and resources, but it is an investment in the future development of the organization. Data analysis allows you to make in formed management decisions that contribute to the development of the enterprise and increase its competi tiveness. The aim of the work is to develop an information system for analyzing, interpreting and converting statistical information and information from external channels accumulated at the enterprise into recom mendations of management decisions aimed at improving current situation at the enterprise. Information system also needs tools to help experts of the enterprise and management of the organization customize the system for themselves, taking into account specific features of the organization: industry, form of manage ment, type of organization, profit margin, number of employees, etc. Using fuzzy logic methods, semantic networks and expert assessment methods, it is possible to generate recommendations for improving current situation at management facility. The result of the research is the development of a structural scheme of in formation system and a software module for the formation of management decisions. The module allows you to automate the process of data analysis and generation of recommendations for improving the condition of the enterprise. This, in turn, contributes to improving the efficiency of management, the quality of decisions made, improving the overall condition of the enterprise and, as a result, increasing company's revenues. In the future, the information system may be adapted for large or small enterprises, despite the fact that it was designed for medium-sized enterprises.
Key words: : information system, ERP system, enterprise resource management, expert system, semantic net work, fuzzy sets, fuzzy logic, membership functions, enterprise analysis, 1C platform, 1C:Enterprise, 1C:ERP.