TY - JOUR TI -

Control system for ecological modernization of enterprises (on the example of the Republic of Armenia)[1]

T2 - IS - KW - agent-based modeling KW - simulation modeling KW - ecological-economics system KW - genetic algorithms KW - multicriteria optimization KW - многокритериальная оптимизация AB - Andranik S. Akopov - Professor, Department of Business Analytics, National Research University Higher School of EconomicsAddress: 20, Myasnitskaya Street, Moscow, 101000, Russian FederationE-mail: aakopov@hse.ruArmen L. Beklaryan - Lecturer, Department of Business Analytics, National Research University Higher School of EconomicsAddress: 20, Myasnitskaya Street, Moscow, 101000, Russian FederationE-mail: abeklaryan@hse.ruArmen K. Saghatelyan - Director, Center for Ecological-Noosphere Studies, National Academy of Sciences of the Republic of ArmeniaAddress: 68, Abovian Street, Yerevan, 0025, Republic of ArmeniaE-mail: ecocentr@sci.amLilit V. Sahakyan - Deputy Director, Center for Ecological-Noosphere Studies, National Academy of Sciences of the Republic of ArmeniaAddress: 68, Abovian Street, Yerevan, 0025, Republic of ArmeniaE-mail: lilit.sahakyan@cens.am      The article examines a system for controlling the ecological modernization dynamics of enterprises developed with the help of simulation modelling methods and implemented using the example of the Republic of Armenia (RA). The system has been developed for strategic decision-making directed at modernization of enterprises of RA, their transformation from an initial non-ecological state towards the state of ecologically pure manufacturing.      The main feature of the software developed is an original agent-based model describing the dynamics of the ecological-economics system. The system has been implemented using the AnyLogic platform. This model is integrated with a multidimensional data warehouse, genetic optimizing algorithm (modified for the bi-objective optimization problem of an ecological-economics system), a subsystem of simulation results visualization (Graphs, Google Maps) and other software modules designed with use of the Java technologies.      The target functionalities of the bi-objective optimization problem of the ecological-economics system are minimized integrated (accumulated) volume of total emissions into the atmosphere and maximized integrated (averaged) index of industrial production of the agent’s population. The problem was formulated and solved for the first time. Moreover, values of objectives are calculated by means of simulation, as the result of activity of all agent-enterprises in a population and taking into account their internal interaction. The 270 enterprises of RA which are the main stationary sources of emissions of harmful substances were selected for the research. In addition, there is a generalized agent-consumer and the agent-government completing ecological regulation through the mechanisms of penalties, subsidies and rates of emissions fees. The simulation core is the developed algorithm of behavior for each agent-enterprise providing the mechanism of agent transition from an initial non-ecological state towards other possible states. At the same time, control of the evolutionary dynamics of agents is implemented with the help of the suggested genetic algorithm. As a result, the system we developed makes it possible to search Pareto-optimal decisions for a bi-objective optimization problem of the agent-based ecological-economics system.    [1] This work was supported by the Russian Foundation for Basic Research (grant no. 15-51-05011).  AU - Andranik Akopov AU - Armen Beklaryan AU - Armen Saghatelyan AU - Lilit Saakyan UR - https://bijournal.hse.ru/en/2016--2 (36)/186061642.html PY - 2016 SP - 71-78 VL -