Title :
Fuzzy sets for purchase planning in uncertain conditions
Author :
Panchenko, O. ; Kupriyanov, Y. ; Taratoukhine, V. ; Zeier, A.
Author_Institution :
Hasso Plattner Inst. for Software Syst. Eng., Potsdam, Germany
Abstract :
This work is devoted to the development of models and algorithms for purchase planning problem. For accurate and flexible purchasing it is important to be able to effectively combine input data from various types of sources. This paper proposes a method based on fuzzy sets to solve the problem of effective exploitation of expert knowledge and statistics of demand to determine the optimal amount of a purchase order. A membership function is used to model demand for a product. This membership function can be built using statistics, expert knowledge, or both. After membership functions for each product are created, purchasing optimization takes place based on these functions. The proposed approach supports decision making process based on formal methods of fuzzy, uncompleted or permanently changing information. The developed models and algorithms can be used for optimum assortment determination of enterprises involved in production and distribution of various types of goods.
Keywords :
decision making; expert systems; fuzzy set theory; optimisation; order processing; statistics; decision making process; demand statistics; expert knowledge; formal methods; fuzzy sets; membership function; purchase planning problem; purchasing optimization; uncertain conditions; Fuzzy sets; demand model; purchasing;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
DOI :
10.1109/ICIEEM.2010.5646511