ASSORTMENT STRUCTURE OPTIMIZATION INDUSTRIAL ENTERPRISE BY THE ANALYTIC HIERARCHY PROCESS

The growth of competition puts new demands on enterprises, in particular to the range of products and its quality. Assortment policy is now one of the factors of enterprise competitiveness. All decisions related to the formation of assortment policy at the enterprise have a significant impact on the economic and competitive position of the enterprise. Therefore, the problems of analysis and optimization of the range of the enterprise, the formation of its assortment policy are the focus of researchers. At present, a significant number of methods of analysis and range management have been developed. The choice of a specific path in the formation of the assortment strategy is determined by many internal and external factors. The decision to be made should be the best in terms of increasing profits, increasing sales and reducing the complexity of manufacturing products. But decisions about changes in the range and the definition of the range strategy are made in conditions of uncertainty and risk. In such conditions, multicriteria methods that minimize risk and create a basis for making optimal management decisions are useful. Of great interest are multicriteria methods that can take into account criteria of different nature, both quantitative and qualitative. One of the most famous in the world and the most effective method used to solve multi-criteria decision-making problems is the analytic hierarchy process. The study was conducted in collaboration with a polymer film company. The article proposes the use of the analytic hierarchy process to decide on the need for further production of some types of film. Criteria for comparison of films and decision-making are defined, interrogation of experts is carried out. The practical results of the research are presented: the priorities of each type of film studied are determined. Recommendations are given to the management of the enterprise: what types of films should not be continued to be made. The results of the study demonstrate the possibility of improving the decision-making procedure for optimizing the product range.