сировинні ресурси

The full-scale war in Ukraine has posed serious challenges to business. The food industry is among the five industries with the largest number of closed companies during the full-scale war, and the situation in the dairy industry is particularly difficult, which determines the relevance of the presented study.
The purpose of the article is to identify problems in conducting economic activities and opportunities to increase the efficiency and competitiveness of a dairy processing enterprise in Ukraine in the conditions of a full-scale war.

The article is devoted to the study of the prospects of using compost with sewage sludge in the raw material for the recultivation of disturbed lands. A special installation was used for bio-composting, which allowed controlling of the process parameters. The results of bio-indication of composts obtained under different conditions of compositions of the raw material mixture are given. Based on the analysis of the results of bio-indication, the optimal composition of the raw material mixture using "fresh" and "old" sewage sludge is established.

As of today, the principle of zero-waste production is not only a global trend, but also an effective mechanism for protecting and preserving the environment, as well as making fuller use of the resource potential of enterprises. The main idea of zero-waste manufacturing is the transformation of raw materials received by the enterprise, its residues, as well as waste obtained in the production process, into finished products that can generate income.

The article is devoted to obtaining a porous filler from the slag of the Thermal Power Plant and investigation of the filtration method for the drying of slag and clay as main raw materials for preparing the charge for porous filler production. 

A lot of factors from the domestic, national and international environment have a significant influence on the decision to initiate tolling cooperation and its continuation. In today’s hyperdynamic and extremely uncertain economic conditions it has been substantiated that correlation-regression modeling is the most effective tool for quantitative analysis of the factors influencing the enterprise's tolling operations.