Modelling decision-making in the field of green production in a post-industrial society

Modern management processes must solve the complex problem of optimal decision-making and timely and effective forecasting of their results, to select successful combinations of solutions in a particular production area of the new information and innovation society that has replaced the industrial era. Considering the above issues, the modelling process as an effective mechanism for decision-making and risk management deserves special attention. The purpose of the study was to highlight modelling as an effective method of decision-making in green production in a post-industrial society, and to justify the feasibility of its use at different levels of the production process. During the study, theoretical methods were applied, in particular, the study of scientific materials and research results, description and comparison. The results were also generalized and analysed. The article considers main approaches to the strategy of the introduction of modelling of decision-making in the field of green production in the post-industrial society, and provides a detailed definition of its structural elements and priority principles. It is clarified that modelling as a management tool is used in the development of rather complex production and management decisions and is the construction of a model or system of models of the process or phenomenon under study for its study, analysis, and formation of an appropriate fan of alternatives to the result. The main types of modelling according to different classifications are analysed, and the possibilities of applying some of them in the decision-making system in the production plane are investigated. Conclusions on the efficiency and effectiveness of the use of the modern innovation and information economic space in production processes are provided. The expediency of using different approaches to decision-making modelling, depending on some influencing factors, is substantiated. The possibility of solving the industrial multitasking of decision-making by creating models is proved. These research results are of practical importance for improving management processes in the field of green production in a post-industrial society, regardless of ownership, production volumes and scope of activity