Optimizing inventory of a firm under fuzzy data

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Abstract

The aim of the article is to propose some tools of inventory management. One 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 costs, frozen capital cost, as well as extra discounts. The tool deals with fuzzy concepts represented by Ordered Fuzzy Numbers. The second tool takes into account the dynamics and works on the base of replenishment system. This tool can be regarded as a kind of controller. © 2014 Springer International Publishing.

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Sobol, I., Frischmuth, K., Kacprzak, D., & Kosiński, W. (2014). Optimizing inventory of a firm under fuzzy data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8468 LNAI, pp. 676–687). Springer Verlag. https://doi.org/10.1007/978-3-319-07176-3_59

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