Please use this identifier to cite or link to this item: https://dspace.uzhnu.edu.ua/jspui/handle/lib/19226
Title: Optimization of commodity stocks the enterprise by means of statistical methods
Other Titles: Optimization of commodity stocks the enterprise by means of statistical methods
Authors: Брітченко, Ігор Геннадійович
Britchenko, Igor
Bezpartochnyi, Maksym
Keywords: commodity stocks, efficiency, HML clustering, FMR clustering
Issue Date: 10-May-2018
Publisher: Zagreb: Croatian Statistical Association
Citation: Britchenko I. Optimization of commodity stocks the enterprise by means of statistical methods/Britchenko Igor, Bezpartochnyi Maksym/Books of Abstracts of the ISSCCRO - International Statistical Conference in Croatia, Opatija, Croatia 10-11 May 2018, Vol. 2, No. 1. - Zagreb: Croatian Statistical Association, 2018. – P. 44.
Abstract: Purpose of the research is process of formation a commodity stocks the enterprise and definition of an optimum volume of commodity resources for sale. Objective of the research are analysis the structure of commodity stocks the enterprise, determination of turnover commodity stocks, grouping of commodity stocks for different signs of clustering. Data and methods are statistical information about the commodity resources of enterprises, statistical methods (grouping, structure analysis, evaluation of dynamic series), tools for assessing the efficiency of use commodity stocks, HML clustering, FMR clustering. The calculations allow the enterprise to determine the optimal volume of commodity resources in accordance with the needs of consumers and their effective demand, plan financial resources for the formation of commodity stocks, develop an assortment policy in accordance with the demand for products and its implementation.
Description: Purpose of the research is process of formation a commodity stocks the enterprise and definition of an optimum volume of commodity resources for sale. Objective of the research are analysis the structure of commodity stocks the enterprise, determination of turnover commodity stocks, grouping of commodity stocks for different signs of clustering. Data and methods are statistical information about the commodity resources of enterprises, statistical methods (grouping, structure analysis, evaluation of dynamic series), tools for assessing the efficiency of use commodity stocks, HML clustering, FMR clustering. The calculations allow the enterprise to determine the optimal volume of commodity resources in accordance with the needs of consumers and their effective demand, plan financial resources for the formation of commodity stocks, develop an assortment policy in accordance with the demand for products and its implementation.
Type: Text
Publication type: Тези до статті
URI: https://dspace.uzhnu.edu.ua/jspui/handle/lib/19226
ISSN: 1849-9864
2584-3850
Appears in Collections:Наукові публікації кафедри фінансів і банківської справи

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