Archetype of self-learning classification of production impacts on the environment for sustainable development

Abstract The article is devoted to system engineering and development of eco-management technologies for sustainable development. At the top level of this corporation is the boss, making decisions regarding the sustainable development of the corporation, taking into account its impact on the environment. At the lower level is the production unit, the manager of which can use environmentally friendly technologies. The situation is studied when the boss does not know the capabilities of these technologies to reduce pollution from the production unit due to stochastic interference. In order to minimize environmental risks of production, the boss assigns the manager to one of two classes, depending on the pollution of that unit by the environment. For this purpose, procedures for forming a standard of environmental pollution, as well as assigning classes are used. Knowing these procedures and taking advantage of the ignorance of the boss, the manager can get a higher class by manipulating pollution. The game of the boss with the manager choosing pollution in such a way as to increase own objective function is studied. An archetype of self-learning classification of environmental impacts is formed, including optimal procedures for standardization and classification. It has been shown that the use of this archetype is sufficient to motivate the manager to minimize environmental pollution of the production unit even under stochastic interference.