A MULTIPARAMETRIC MODEL FOR OPTIMIZATION OF WASTE RECYCLING STRATEGY AND MONITORING AT INDUSTRIAL FACILITIES

The article is devoted to the development of a multiparametric model for optimizing waste recycling strategy and organizing monitoring at industrial facilities under budget constraints. The relevance of the study is determined by the need to reduce man-made risks while simultaneously limiting financial, technical, and organizational resources, which necessitates the search for rational solutions in the field of industrial and environmental safety. The paper notes that the traditional separate implementation of waste recycling measures and process monitoring leads to inefficient resource use and does not provide sufficient risk reduction. To overcome this contradiction, a multiparametric model is proposed, incorporating residual damage, costs of recycling and monitoring, as well as potential profits from waste utilization. The scientific novelty lies in formalizing the relationship between the share of recycled waste, the level of monitoring coverage, and resource constraints, which makes it possible to move from a fragmented approach to an integrated risk-oriented management system. The model provides a methodological basis for justifying recycling and monitoring strategies, as well as for developing practical solutions aimed at minimizing overall damage. As an example of model application, strategies for oil sludge treatment at industrial facilities are considered, which made it possible to demonstrate the feasibility of determining the optimal recycling share that ensures a balance between costs and residual damage reduction.