A model for optimizing enterprise’s inventory costs : a fuzzy approach

• Autorzy: Kosiński W , Muniak R. , Kosiński W. K.

Identyfikatory

DOI

10.5277/ord130404

• Konferencja: Conference on Modeling Preferences and Risk (9th ; 17-19.03.2013 ; Ustroń, Poland) and International Workshop on Multiple Criteria Decision Making (IWoMCDM) (5th ; 17-19.03.2013 ; Ustroń, Poland)
• Języki publikacji: EN

Abstrakty

EN

Applicability of a fuzzy approach to a problem originating from administrative accounting, namely to determine an economic order quantity (EOQ) in a variable competitive environment with imprecise and vague data, has been presented. For this purpose, the model of ordered fuzzy numbers developed by the first author and his two co-workers is used. The present approach generalizes the one developed within the framework of convex fuzzy numbers and stays outside the probabilistic one.

Słowa kluczowe

EN

economic order quantity; optimization problem; ordered fuzzy numbers

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2013
• Tom: Vol. 23, No. 4
• Strony: 39--54
• Opis fizyczny: Bibliogr. 9 poz., tab.

Twórcy

autor

Kosiński W

• Department of Computer Science Polish-Japanese Institute of Information Technology, ul. Koszykowa 86, 02-008 Warszawa, Poland, Institute of Mechanics and Applied Computer Science, Kazimierz-Wielki University, ul. Chodkiewicza 30, 85-072 Bydgoszcz, Poland.

autor

Muniak R.

• Department of Computer Science Polish-Japanese Institue of Information Technology ul. Koszykowa 86, 02-008 Warszawa

autor

Kosiński W. K.

• Department of Computer Science Polish-Japanese Institue of Information Technology ul. Koszykowa 86, 02-008 Warszawa

Bibliografia

• [1] GOETSCHEL R. Jr., VOXMAN W., Elementary fuzzy calculus, Fuzzy Sets and Systems, 1986, 18 (1), 31–43.
• [2] CHWASTYK A., KOSIŃSKI W., Fuzzy calculus with applications, Mathematica Applicanda, 2013, 41 (1), 47–96.
• [3] NGUYEN H.T., A note on the extension principle for fuzzy sets, Journal of Mathematical Analysis and Applications, 1978, 64, 369–380.
• [4] KOSIŃSKI W., PROKOPOWICZ P., ŚLĘZAK D., Fuzzy numbers with algebraic operations: algorithmic approach, [in:] Proc. Intelligent Information Systems 2002, M. Klopotek, S.T. Wierzchoń,M. Michalewicz (Eds.), Sopot, Poland, June 3–6, 2002, Physica Verlag, Heidelberg 2002, 311–320.
• [5] KOSIŃSKI W., PROKOPOWICZ P., ŚLĘZAK D., Ordered fuzzy numbers, Bulletin of the Polish Academy of Sciences, Ser. Sci. Math., 2003, 51 (3), 327–338.
• [6] KOSIŃSKI W., On fuzzy number calculus, International Journal of Applied Mathematics and Computer Science, 2006, 16 (1), 51–57.
• [7] KUCHTA D., Soft mathematics in management. The use of interval and fuzzy numbers in management accounting, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 2001 (in Polish).
• [8] BUCKLEY J.J., Solving fuzzy equations in economics and finance, Fuzzy Sets and Systems, 1992, 48,289–296.
• [9] VUJEŠEVIĆ M., PETROVIĆ D., PETROVIĆ R., EOQ formula when inventory cost is fuzzy, International Journal of Production Economics, 1996, 45, 499–504.