Исследование методов и разработка системы поддержки принятия решений оперативно-календарного планирования деятельности предприятия
The textbook focuses on information support of a decision making process: problem statement, typical stages, approaches to modeling of decision making conditions, as well as consequences of different alternatives selection. The role of expert estimates is examined. Such estimated are used for determining probabilities of problem situation, determining experts' coefficients of competency, forming estimates of the alternatives. The features of group decision making are considered. Special attention is paid to decision support on the strategic management level, in the conditions of changing and hardly predictable environment. Approaches to modeling of problem situations related with possible states of the environment in the future are examined in details. The history, current classification and perspectives of development of modern decision support systems, as well as their role in the integrated management information system are considered. In the textbook different decision support information systems (including ones developed in HSE Department of Business Analytics) are described. Description of the information systems are accomplished by the examples of their practical application. Business cases that are close to real decision making tasks are also examined. The textbook is compliant with current requirements of the Federal standard of higher education and may be useful for students, postgraduates and teachers working in the field of management, decision support and management information systems.
In this work, in order of development of the previously proposed decision support system to counteract the development of infectious diseases (DSS «CDID») it is proposed evolutionary model (EM), that extends the capabilities of forecast – analytical studies on the spread of infectious disease processes for individual cities and areas of the country as a whole, as well as early assessment of ways solutions to the problems of prophylaxis and therapy in the study territories.
The article discusses the prospects of a decision support system to transport companies. The main characteristics of logistical BI-systems, proposed approaches its use to analyze the efficiency of the transport company.
Agent-based modeling and simulation was applied to investigate a set of problems in the energy context. The paper shows advantages of the agent based modeling approach. The method to define agents-consumers in simulation tool AnyLogic and the approach to simulating investment project risk are suggested.