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Optimizing Inventory of a Firm under Fuzzy Data

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Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8468))

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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.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Polish-Japanese Institute of Information Technology, ul. Koszykowa 86, 02-008, Warsaw, Poland

    Irena Sobol & Witold Kosiński

  2. Department of Mathematics, University of Rostock, 18051, Rostock, Germany

    Kurt Frischmuth

  3. Faculty of Computer Science, Bialystok University of Technology, ul. Wiejska 45, 15-351, Białystok, Poland

    Dariusz Kacprzak

Authors
  1. Irena Sobol
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  2. Kurt Frischmuth
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  3. Dariusz Kacprzak
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  4. Witold Kosiński
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski  & Rafał Scherer  & 

  2. Częstochowa University of Technology, 42-200, Częstochowa, Poland

    Marcin Korytkowski

  3. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2014 Springer International Publishing Switzerland

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Sobol, I., Frischmuth, K., Kacprzak, D., Kosiński, W. (2014). Optimizing Inventory of a Firm under Fuzzy Data. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8468. Springer, Cham. https://doi.org/10.1007/978-3-319-07176-3_59

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  • DOI: https://doi.org/10.1007/978-3-319-07176-3_59

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07175-6

  • Online ISBN: 978-3-319-07176-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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