DEVELOPMENT OF AN EFFECTIVE SYSTEM OF INFORMATION SUPPORT FOR MANAGEMENT DECISION-MAKING AT THE ENTERPRISES OF THE ROCKET AND SPACE INDUSTRY

2021 ◽  
Vol 22 (2) ◽  
pp. 227-243
Author(s):  
Kartamyshev A. S. ◽  
◽  
Chernysh B. A. ◽  
Keyword(s):  
Decision Making ◽  
Information Support ◽  
Management Decision ◽  
Space Industry ◽  
Effective System ◽  
Management Decision Making

scholarly journals METHODOLOGY, METHODS AND DIGITAL TECHNOLOGIES OF MANAGEMENT DECISION-MAKING TO IMPROVE THE QUALITY OF OPTIMIZATION MODELS OF THE ROCKET AND SPACE INDUSTRY

2019 ◽  
Author(s):  
Александр Андрейчиков ◽  
Aleksandr Andreychikov ◽  
Ольга Андрейчикова ◽  
Olga Andreichicova
Keyword(s):  
Decision Making ◽  
System Analysis ◽  
Digital Technologies ◽  
Optimization Models ◽  
Management Decision ◽  
Risk And Uncertainty ◽  
Intelligent Software ◽  
Space Industry ◽  
Management Decision Making

The monograph presents the methodology, methods and digital technologies of management decision - making to improve the quality of optimization models of the rocket and space industry. The methods and systems of decision support described in the book are focused on solving problems in conditions of certainty, risk and uncertainty. The book is intended for researchers, engineers and students working in areas such as system analysis, innovation quality management, conceptual design, intelligent software development, etc.

scholarly journals Modern Information Technologies: Obstacles and Assistants in Management Decision-Making. Article Two. Opportunities

2021 ◽  
pp. 10-16
Author(s):  
V. A. Shamakhov ◽  
N. M. Mezhevich
Keyword(s):  
Decision Making ◽  
Information Technologies ◽  
Information Support ◽  
Management Decision ◽  
Quality Of Information ◽  
Management Decision Making ◽  
Long Time ◽  
Filter Bubbles ◽  
Main Effects

The dependence of management decisions on information support is not a debatable issue for a long time. However, the changing quality of information creates both new challenges and new opportunities in the information and analytical field. The decision-making process, which would seem to be facilitated by digitalization, is actually becoming more complicated. As one of the main effects of digitalization, we note the apparent availability of information. In fact, simple facts that create an information network no longer become, moreover, they become smaller, or rather, their availability decreases. The necessary information sinks in the ocean of information noise. Echo chambers and filter bubbles exacerbate this problem. At the same time, the possibilities provided by the effects of echo cameras and information bubbles remain low.

scholarly journals Simulation as Implementation of Digital Approach to Decision-Making under Uncertainty and Risk

2019 ◽  
Vol 62 ◽  
pp. 11004
Author(s):  
O.V. Tiutyk ◽  
M.E. Butakova
Keyword(s):  
Decision Making ◽  
Process Model ◽  
Relevant Literature ◽  
Information Support ◽  
Practical Significance ◽  
Primary Data ◽  
Management Decision ◽  
Decision Making Under Uncertainty ◽  
Modeling Tools ◽  
Management Decision Making

The paper articulates the problem of modeling management decision-making process in new digital reality: decision-making under uncertainty, volatile environment, huge amount of data to be accounted, objective analytical risk attitude. The proposed solution includes critical selection of risk and uncertainty management tools aimed at improvement quality of management decision-making information support in the sustainable development context (on the example of construction projects). The aim of research is the development of the new “digital” approach to the process of reducing uncertainty when decision making in highly risk projects, including the process model and toolkit. Methodology is based on logical analysis and synthesis, decomposition, qualitative analysis of the relevant literature and primary data (top management informal interviews, targeted sample), comparative and regression analysis, time series analysis, mathematical statistics and simulation modelling based on nine sets of design estimation paperwork and turnover-balance sheets. The contribution into the existing knowledge includes substantiating the correlation of the terms of the digital decision-making and simulation modeling tools in high-risk projects management under insufficient statistical data and their mutual interaction. Also, advisability of formalization of the decision-making method based on unprocessed design estimates is justified, and appropriate methods for sustainable decision-making information support are selected. The approbation demonstrated practical significance and economic effectiveness of developed approach; experiment was carried out on the base of «RSU – 6» LLC’s projects (Tchaikovsky, Perm region).

scholarly journals INFORMATION SUPPORT FOR PROCESS AUTOMATION DEVELOPMENT AND MANAGEMENT DECISION MAKING

2019 ◽  
Vol 40 (2) ◽  
pp. 88-92
Author(s):  
S.D. Skurtol ◽  
S.M. Kontseba ◽  
H.Iu. Rodashchuk
Keyword(s):  
Decision Making ◽  
Information Support ◽  
Management Decision ◽  
Process Automation ◽  
Managerial Decisions ◽  
Management Decision Making ◽  
Development And Management

In the article is considered the importance of information and its influence on the efficiency of making managerial decisions, the expediency of systemic using of information and the formation of information support for the process of making managerial decisions. The problems of information support of enterprises activity are analyzed.

scholarly journals The tasks of the analytical support of management and their implementation

2020 ◽  
Vol 11 (2) ◽  
pp. 41-48
Author(s):  
I. Lazaryshyna ◽  
◽  
O. Symonenko ◽  
Keyword(s):  
Decision Making ◽  
Cash Flows ◽  
Information Support ◽  
Enterprise Management ◽  
Management Decision ◽  
Effective Management ◽  
Strategic Decisions ◽  
Managerial Decisions ◽  
Management Decision Making ◽  
Decision Making System

The article is devoted to the actual and less studied problem of realization of the management decision-making analytical support tasks. It is grounded that full or partial uncertainty of the environment in which the enterprise operates determines the clearly structured regulations formation that maximize the information support volume and quality. It is noted that the analytical support task at tactical and strategic management levels is different. On the basis of application of scientific research common scholarly and special methods, the coordination of analytical support tasks of their realization decision-making and consequences in activity-based management was carried out. The comparison of the effective and efficient enterprise management essence has been carried out. It is determined that effective management is the integration of functional and infrastructural components to achieve the long-term enterprise goals. The comparative analysis of traditional tasks of effective management economic analysis and analytical support was carried out. It has been substantiated that the analytical support tasks must necessarily be coordinated with the format of the management solution support system and the management type. A strong correlation between effective management and accounting and analytical support has been established. The influence of tactical and strategic decisions information support by the level of materiality on the reasons of low-quality management has been identified. The model of managerial decisions acceptance and realization in the activity-based management system is reviewed and supplemented. It is offered to allocate two groups of management performance assessment indices-indicators. The first indices-indicators group includes indices of dynamics of assets, capital, liabilities, incomes, expenses, financial results, cash flows. The second group includes indices characterizing the decision-making system as a whole.

scholarly journals Numerical Implementation of a Fuzzy Model for Evaluating the Effectiveness of Technological Innovations in the Formation of a Portfolio of Projects in an Industrial Enterprise

2019 ◽  
Vol 16 (4) ◽  
pp. 145
Author(s):  
O M Shatalova
Keyword(s):  
Decision Making ◽  
Expert Knowledge ◽  
Fuzzy Model ◽  
Industrial Enterprise ◽  
Decision Makers ◽  
Information Support ◽  
Management Decision ◽  
Technological Innovations ◽  
Numerical Implementation ◽  
Management Decision Making

A high uncertainty and fuzziness of information in the systems of development and organizations production of technological innovations are forming the need to use adequate management decision-making tools. A key condition for decisions in such systems is, as a rule, the criterion of efficiency. The paper presents the results of the numerical implementation of a methodological approach to evaluating the effectiveness of technological innovations from the standpoint of non-stochastic uncertainty. The approach is based on fuzzy calculations and fuzzy modeling. This approach is aimed at integrating deterministic, stochastic and expert knowledge of the system; it provides an expanded view of the content of the “effectiveness” category itself and the composition of relevant factors, allows you to take into account the restrictions and preferences of decision makers relevant to the system under study. The considered approach is adapted to the specifics of managing technological innovation in an industrial enterprise. The results of the development and numerical implementation of a fuzzy model for evaluating the effectiveness of technological innovations have led to the conclusion that the approach used expands (complements) the composition of the existing methods in this field of knowledge; the numerical value of the efficiency (W) obtained in the fuzzy model can be considered as an additional analytical indicator of information support of the management decision-making process; the significance of this indicator is due to the fact that the indicator W reveals strategically significant prerequisites and provides clarification (justification) of the values of the key technical and economic parameters. The fuzzy W evaluation model allows for combining deterministic and stochastic data with expert estimates and to formalize mental judgments of decision makers using language means of mathematics. Thus, the prerequisites for building an intelligent automated decision-making system in the management of innovative processes and projects in the enterprise are provided.

scholarly journals PROBLEMATIC ISSUES OF INFORMATION SUPPORT FOR MANAGEMENT DECISION-MAKING IN HEALTHCA

2021 ◽  
Vol 11 (6) ◽  
pp. 6-9
Author(s):  
Aleksey Breusov ◽  
Stanislav Otstavnov ◽  
Dmitrii Breusov
Keyword(s):  
Decision Making ◽  
Support System ◽  
Clinical Medicine ◽  
Information Support ◽  
Management Decision ◽  
Management Decisions ◽  
Medical Organization ◽  
Scientific Methods ◽  
Management Decision Making ◽  
Information Support System

— The purpose of the work is to analyze the main problem areas and the possibilities of introducing an information support system for making management decisions (controlling) in the activities of managers of modern medical organizations. The work used bibliographic, descriptive-analytical, general scientific, methods of system and content analysis. As a result of the study, the prospects for the use of controlling tools in preventive and clinical medicine, including in activities directly related to the treatment of patients, have been substantiated; a number of indicators have been proposed for monitoring and assessing the health status of the population; an assessment was made of the possibilities of using the decision-making information support system in the management of a medical organization; the main directions of further implementation of IT-technologies in healthcare practice are presented. The results obtained in the course of the study will significantly improve the quality of management decisions made and the effectiveness of the activities of modern medical organizations.

scholarly journals Modern Information Technologies: Obstacles and Assistants in Management Decision-Making. Article One. Obstacles

2021 ◽  
pp. 10-16
Author(s):  
V. A. Shamakhov ◽  
N. M. Mezhevich
Keyword(s):  
Decision Making ◽  
Information Technologies ◽  
Information Support ◽  
Management Decision ◽  
Quality Of Information ◽  
Management Decision Making ◽  
Long Time ◽  
Filter Bubbles ◽  
Main Effects

The dependence of management decisions on information support is not a debatable issue for a long time. However, the changing quality of information creates both new challenges and new opportunities in the information and analytical field. The decision-making process, which would seem to be facilitated by digitalization, is actually becoming more complicated. As one of the main effects of digitalization, we note the apparent availability of information. In fact, simple facts that create an information network no longer become, moreover, they become smaller, or rather, their availability decreases. The necessary information sinks in the ocean of information noise. Echo chambers and filter bubbles exacerbate this problem.

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