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Applied aspects of using multivariate statistical methods in the analysis of movement of material and financial resources

https://doi.org/10.34023/2313-6383-2014-0-11-54-59

Abstract

The rapid extension in the nomenclature and range of goods in warehouses, terminals, requires the development of methods to carry out a high quality systematization of multiproduct material (and the corresponding financial) flows and grouping multinomenclature stocks. In the meantime insufficient attention is paid to development issues associated with managing financial resource flows along with holding, processing of multiproduct stocks based on modern methods of structuring and classification of information about them, both in theory and practice. Currently existing methods for dividing material resources into groups («ABC method») are too simple and often enough prevent from taking into account the factor of multidimensionality and flow permanence of both material and financial resources. Division of A, B and C groups, according to the author, is controversial and ill-substantiated. For these purposes it is necessary to use a much more powerful statistical tools based on the implementation of statistical methods of multivariate analysis. In this paper are explored the possibilities for using such methods to identify individual groups of material and financial resources, and also is offered the technique for grouping the stocks using the proposed approaches, which, as opposed to existing techniques, makes it possible to more reasonably classify resources by groups and as a result to reduce the cost of management and maintenance of stock by supply chains.

About the Author

Tatiana Kulagovskaya
The North-Caucasus Federal University
Russian Federation


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Review

For citations:


Kulagovskaya T. Applied aspects of using multivariate statistical methods in the analysis of movement of material and financial resources. Voprosy statistiki. 2014;(11):54-59. (In Russ.) https://doi.org/10.34023/2313-6383-2014-0-11-54-59

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ISSN 2313-6383 (Print)
ISSN 2658-5499 (Online)