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

Abstract

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 (modifi ed 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 fi rst 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.

Agent-based modeling and optimization of the characteristics for research-and-production clusters

“…1). Such internal models are systems of finite-difference equations with their own resource and target characteristics [11,22]. At the same time, to determine the values of individual parameters, inte-gration with the upper level of the simulation model is required.…”

Verification of requirements for the simulation model of a production enterprise

“…At the present time, simulation modeling is widely applied for rational planning and management of the key characteristics of enterprises. For instance, it may be used for predictive modeling of oil production dynamics for an oil company [4] or for scenario planning of the ecological reengineering of enterprises [5]. Other applications of simulation models include investment portfolio planning subject to macroeconomic conditions and maximization of the shareholder value of a vertically integrated oil company [6], scenario management of the characteristics of lending financial institutions and commercial banks [7], and scenario management of enterprises operating in the fuel and energy complex [8].…”

Agent-based modelling of complex ecological-economic systems

“…обращения: 06.09.2020). DOI: 10.33276/S0000120-5-1 В настоящее время активно развивается новое направление в экологической экономике, относящееся к разработке и применению агентных моделей и эволюционных (генетических) алгоритмов в качестве ключевого элемента системы поддержки принятия решений рационального экологического планирования [1], [2].…”

“…В результате, агентывыбросы теряют большую часть собственных объемов (радиусов) к моменту преодоления естественного барьера, состоящего из деревьев, посаженных вокруг соответствующих источников выбросов. Альтернативным (возможно дополнительным) решением является более дорогостоящий подход, основанный на снижении объемов и интенсивности выбросов со стороны предприятий за счет их экологической модернизации [2]. Однако подобная экологическая модернизация не исключает вероятность вредных выбросов за счет, например, чрезвычайных ситуаций (аварий).…”

“…Была разработана агентная имитационная модель в системе AnyLogic [2], [3], позволяющая моделировать распространение вредных выбросов в городе (регионе) во взаимодействии с агентами-деревьями (рис. 2).…”