Retrieved from Vol. 27, No. 2, 2023
Pages 40 -52
Received 23.03.2023
Revised 15.07.2023
Accepted 28.08.2023
Retrieved from Vol. 27, No. 2, 2023
Pages 40 -52
Abstract
The relevance of this research topic is caused of the need for improvement and further development of scientific and methodological support for the managing stocks processes of perishable food products. The purpose of the research is the theoretical justification, based on the improvement of the probabilistic-statistical analytical model for the management of perishable food products stocks, methodological recommendations for ensuring the established level of satisfaction of the demand for SPC in the conditions of determining the optimal (rational) size of the order for the supply of perishable food products. The object of the research is the process of the perishable food products stocks managing. The subject of the study is the methods and models of the perishable food products stocks managing. Research objectives: 1) to improve, based on a systematic approach, a probabilistic-statistical analytical model of the management of the perishable food products stocks; 2) to develop, on the basis of an improved model for the management of the perishable food products stocks, methodological recommendations for ensuring the established level of the demand satisfaction for the perishable food products stocks in the conditions of determining the optimal (rational) size of the order for the supply of the perishable food products stocks. Research methodology. A systematic approach was used to improve the inventory management model of the perishable food products stocks, as well as the methods of probability theory and mathematical statistics and optimization; in the development of methodological recommendations for ensuring the established level of satisfaction of demand for SPC in the conditions of determining the optimal (rational) size of the order for the supply of the perishable food products - abstract-logical method, methods of ABC, XYZ and FMR-analyses, as well as methods of logistics management
Keywords:
perishable food products; inventory management; optimal order value