Author(s): Alexey I. Shinkevich, Elmira Sh. Shaimieva, Tatyana V. Malysheva, Guzel I. Gumerova
For the sustainable development of industrial enterprises, it is necessary to optimize the project environmental management system in order to ensure resource efficient production. In this regard, the formation and development of a systematic approach to the automation of project management of the organization of ecological production systems is a priority area of scientific knowledge. The purpose of the article is to develop scientific and practical recommendations for organizing an information system of decision support in the management environment of ecological project of industrial enterprises. To form the structure of the decision support system, the methodology of conceptual modeling and the system architecture of software tools were used. As methods of simulation modeling of an alternative solution at the stage of production readiness for an ecological project, random number generation was used to determine the probabilistic potential of the enterprise. In the article, a conceptual model of an automated system for managing environmental projects of an industrial enterprise is formed, taking into account the input and output parameters of environmental friendliness of production, disturbing and controlling effects according to the project lifecycle algorithm. A structural-substantial model of information system of decision support in the management environment of ecological project of industrial enterprise has been developed. The method of generating random numbers was used to simulate a ready-made solution according to the module “Assessment of the readiness of a production system” for a subsystem of tasks and alternatives for decision-making. The research materials can be used in the development of information systems for supporting management decisions for the purposes of project management at the level of industrial enterprises and executive authorities in charge of sustainable development of production systems.