This paper presents a new approach to designing integrated simulation models for large corporations. This approach is based on the use of system-dynamics methods for implementing models of segments of the vertically integrated company taking into account the available direct and feedback links. All models have been designed with the help of power simulation tool - Powersim Studio. In addition, the designed simulation system has been integrated with created genetic algorithm and the corporate data warehouse.
Proceeding of the 32nd International Conference of the System Dynamics Society
The article considers the model complex of national economy of Russian Federation based on principles of multi-modeling. It describes the general structure of model complex and its realization based on methods of system dynamics, agent-based modeling and other modern technologies of simulation modeling.
The management of economic development of the region is associated with the search of conditions and ways to achieve sustainable macroeconomic controlled system. This problem cannot be solved by fragmental solutions based on the analysis of fluctuation trends in the indicators, properties, and case elements. It is necessary to apply methods that will allow to research and to bring in order any region as a complicated macroeconomic system with a lot of interrelated elements and systems. To solve this problem, we applied the simulation modeling method. The novelty of this study is that as an instrument of economic growth at the macro level we consider the supply chain in the context of the formation of an integrated system of supply chains and the balanced development that meets the interests of all participants, economic agents, and targets of socioeconomic development of the region (the achievement of social effect). Particular industry supply chains and levels of integration of supply chains systems have been identified to determine the cost-effectiveness at various levels, based on categories such as price, quality, time, commercialization, and innovation. The simulation method makes it possible to form a holistic view of the system of regional supply chains and to conduct a comprehensive analysis of the balance between performance and efficiency at each level of the supply chain system. An experimental method of management, modeling, and forecasting, allowing to see the problems with the system approach was used in the developed simulation model, implemented on the basis of AnyLogic software.
This research work deals with the problem formulation of control of complex organizational structures. The mechanism of functioning of such systems is described by example of a vertically integrated company (VIC). The problems of strategic and operative control of VIC are considered. The methods for solving such problems based on genetic algorithms and neural networks are suggested. A new iterative procedure for coordination of strategic and operative control goals based on the estimation of imbalance between shareholder value and net profit distributed for payment of dividends to shareholders is suggested.
The considered system is a double criterion optimization problem with complex multiparameter restrictions.
In this work is presented a new approach to the designing of intelligent systems of the control of the shareholder value for the vertical-integrated Financial Corporation (VIFK). Developed system based on using of system-dynamics methods for the simulation of the synergic interaction between different business directions of VIFK for the target of shareholder value maximization. Note, the described system has been successfully introduced in biggest Russian banking groups and it is used for the preparing of strategic decisions.