A Stochastic Inventory Management Model with Consideration of Additional Information
Tanka Milkova ()
Additional contact information
Tanka Milkova: University of Economics - Varna, Varna, Bulgaria
Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, 2022, vol. 11, issue 1, 167-174
Abstract:
Proper management of stocks in the logistics system is essential for achieving high economic performance of any economic organization in the modern economy. The choice of appropriate models and methods for effective stock management depends on the nature of their consumption. In general, two main types of inventory consumption are considered - in certain and in case of random demand. In literature, a fundamental model for the management of stocks in random demand is known, using probability characteristics for the consumption of a certain quantity of the stock. These values are often difficult to set completely correctly. The article offers an opportunity to overcome these difficulties by constructing an algorithm to determine them taking into account additional information about the environment.
Keywords: Inventory Management; Stochastic Models. (search for similar items in EconPapers)
JEL-codes: C61 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://su-varna.org/journal/IJUSV-ESS/2022.11.1/167-174.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vra:journl:v:11:y:2022:i:1:p:167-174
Access Statistics for this article
More articles in Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series from Union of Scientists - Varna, Economic Sciences Section Contact information at EDIRC.
Bibliographic data for series maintained by Pavel Petrov ().