Proceeding of the 30 International Conference of the System Dynamics Society, July 22-26, 2012, St.Gallen, Switzerland
Proceeding of the 32nd International Conference of the System Dynamics Society
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.
This article explores the possibilities of modern simulation modeling in the tasks of design and supply chain modeling as systems with structural and dynamic complexity, the study of which should be carried out taking into account multiple risk factors and uncertainties, considering and evaluating the efficiency, dynamism, flexibility and adaptability of the SC based on a variety of indicators used in logistic practice. The use of simulation modeling requires the adaptation of modern managerial techniques and approaches used in logistic practice with the technique of simulation modeling . Useful management techniques based on the use of simulation techniques in the analysis and modeling of SCs are considered, as well as methods of constructing conceptual models of the SC and analysis of the SC using simulation modeling, iterative simulation and optimization procedures for integrated research and optimization of the SC. A review of the capabilities of various simulation paradigms for analyzing SCs and a review of related scientific literature are also being conducted. It is shown in particular that process simulation modeling is effective for describing the network structure and logistic processes in the SC and is actively used in reengineering projects based on SCOR-recommendations. System-dynamic models of adaptive supply chains allow you to study the complex interaction of material, information and financial flows in the SC, to analyze the stability of the SC, to coordinate the business strategy and logistics strategy of the company. Agent-based simulation modeling makes it possible to describe the behavior, processes of cooperation, coordination and inter-organizational interaction of the participants of the SC and reconfigurable network structures of the SC.
Russian Chapter Poster demonstrates activity of science and business schools, conferences and consulting group in Russian
The Russian Chapter announces the Roundtable and Meeting at the Delft SD Conference. Everybody is welcome to meet with members of Russian academic, scientific, and business institutions, which use system dynamics. The meeting is intended as a forum for exchanging opinions and building partnership.
The Russian Chapter of the SDS was formed in 2006 with participation of leading Russian universities. It participates in SDS Conferences since 2008. More information on the Russian Chapter can be found on www.sysdynamics.ru (in Russian).
The attendees will share their experience on the most successful educational and research projects in system dynamics in the leading Russian universities in fields of management and economics, such as Lomonosov Moscow State University, State University of Management, and others. Topics will also include talks on consulting projects in corporate and government administration.
Cooperation in the field of education and science, including creation of masters programs and research centers with international participation is important for the Russian SD community today. Most popular applications of simulation in Russia are industrial projects and policy research in economics and social care.
All the interested parties are welcome to participate. For additional information, please contact Natalia Lychkina: email@example.com
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
I give the explicit formula for the (set-theoretical) system of Resultants of m+1 homogeneous polynomials in n+1 variables