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Sobol Irena (Polish-Japanese Institute of Information Technology, Poland), Kacprzak Dariusz (Bialystok University of Technology, Poland), Kosiński Witold
Optimizing of a Company's Cost Under Fuzzy Data and Optimal Orders Under Dynamic Conditions
Optimum : studia ekonomiczne, 2014, nr 5 (71), s. 172-187, aneks, rys., tab., bibliogr. s. 185
Zbiory rozmyte, Optymalizacja kosztów, Ekonomiczna wielkość zamówienia
Fuzzy sets, Cost optimization, Economic order quantity
This work was supported by Bialystok University of Technology grant S/WI/2/2011.
The purpose of this article is to suggest tools of inventory management which would determine economically optimal order quantities. One of them is based on the so-called fixed order quantity model which takes into account several elements of inventory cost, such as ordering cost, transportation and storing cost, frozen capital cost, as well as extra discounts. The tool is based on fuzzy concepts represented by Ordered Fuzzy Numbers. The second tool takes into account the dynamics and works on the basis of replenishment system. This tool can be treated as a kind of controller. Examples of using this tools are presented. (original abstract)
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
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