Authors

A program complex for investment designing control optimization

Expert system for investment designing

The task of building an expert system investment planning which selects the analytical tools of the investment project and determining profitability of the project is considered. The expert system uses a method of evaluation based on the criteria that are implemented in the form of a knowledge base of facts. The knowledge base implements the ability to analyze project data entered and doesn’t require the finished project data to be presented in it.

Building a network of economic-mathematical model for the implementation of the optimization process of investment projecting

Development of a computer expert system business planning

Intelligent software system for optimizing adaptive control of business planning processes

The article describes the functionality developed by the authors of an intelligent software system for optimizing adaptive control of business planning processes in the face of uncertainty. The results are based on a new method for optimizing adaptive project management using network economic and mathematical modeling. Based on this method, a methodology has been developed for solving the problem of optimizing adaptive control of business planning processes, which in the proposed intelligent software decision support system uses a block containing an adaptive control optimization model. As the objective function (evaluation functional) in the method used, the value of the length of the time period for the execution of the business plan, which needs to be minimized, is considered. The method used allows you to create a class of acceptable strategies for adaptive control of the implementation process for the business plan in question. Within the framework of this class of strategies, an optimal adaptive control strategy for the implementation of business planning processes is formed, the optimal time for its implementation and the optimal schedule for implementing the business plan as a whole, and the corresponding optimal adaptive control strategies are calculated. Application of the proposed new method in an intelligent software system allows for feedback and optimal time for the implementation of the business project as a whole. The developed intelligent system is designed to automate the modeling of business planning processes and optimize adaptive decision-making control during their implementation on the basis of network economic and mathematical modeling, as well as methods and tools for developing intelligent soft systems. The created system takes into account the existing specific technical and economic conditions and information support. The results obtained in this work can serve as the basis for creating intelligent instrumental systems for supporting managerial decision-making in the implementation of business planning processes in the face of information uncertainty and risks. Read more...

Intelligent soft package for modeling optimization processes for managing the activities of the Bank's retail unit

Currently, one of the main directions in the field of banking process automation is the creation and implementation of integrated management decision support systems. In the context of growing competition and general digitalization of the economy, the issue of improving the efficiency of bank management is most acute. Most of the automated systems used in this area are aimed at identifying "gaps" in existing business processes and further optimizing their individual parts. Moreover, such systems are not based on economic and mathematical models and algorithms for their solution. This article presents a description of an intelligent computer software package that allows you to simulate the optimization of software and adaptive management of specific business processes - managing the number of personnel and the sales system of the retail block of a commercial bank. The basis of the developed software package is a discrete dynamic economic and mathematical model of the investigated business processes and the developed optimization algorithms for software and adaptive control of these processes. The process of making decisions on the recruitment/reduction of the staff of various categories of employees of the Retail block of a commercial bank, as well as on the management of the sales system provided by the relevant employees. The paper presents the main stages of creating the proposed controlled dynamic model with a vector quality criterion. Based on computer modeling with the help of the developed intelligent computer software complex, the results of optimal solutions for various options for practical examples were obtained. The results are graphically illustrated and analyzed. Based on the proposed dynamic model, it is possible to solve other problems of optimizing software and adaptive management of processes that determine banking activities and develop automated information systems for implementing support for managerial decision-making in this area. Read more...

Prediction and minimax estimation of the production system in the presence of risks

The solution of the problem of forecasting the state of complex socio-economic systems is possible only on the basis of appropriate dynamic economic and mathematical models that describe their main parameters, the presence of control actions and risks. In this paper, it is proposed to use a deterministic minimax approach for modeling and solving the problem of estimating the predicted states of a production system in the presence of risks. To make managerial decisions at a manufacturing enterprise aimed at improving the efficiency of its functioning, it is necessary to have high-quality information support, the basis of which is the solution of the corresponding problem of predicting the states of its basic parameters. In this article, to describe the functioning of a production system, it is proposed to use a discrete-time controlled dynamical system in the presence of risks. It is assumed that the values of the control action (admissible control scenarios) are realized from a finite set of admissible elements of the corresponding finite-dimensional vector space, and the realizations of the values of the phase vector of the model and the risk vector are limited by the given compact polyhedrons in the corresponding finite-dimensional vector spaces. Application of the developed discrete-time controlled dynamical model that describes the output products of an enterprise in the presence of risks, and the developed methodology for the formation and minimax estimation of the predictive set of its phase states in a given period of time, allow us to develop appropriate numerical algorithms that can be used in the development and creation of computer intelligent information systems that provide support for making effective management decisions at manufacturing enterprises. The main results of this work is the development of a new economic-mathematical model that describes the dynamics of the output products of an enterprise in the presence of risks and the creation on its basis of a methodology for constructing and minimax estimation of the predictive set of its phase states in the form of implementing a finite number of one-step operations that allow their algorithmization. The results obtained in this work can serve as a basis for developing methods for optimizing the management of enterprise production processes and creating computer intelligent information systems to support managerial decision-making. Read more...