Fuzzy Sets for Purchase Planning in Uncertain Conditions

Panchenko O, Kupriyanov Y, Taratoukhine V, Zeier A


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



Publication type
Conference Paper

Peer reviewed
Yes

Publication status
Published

Year
2010

Conference
IEEE 17th International Conference on Industrial Engineering and Engineering Management

Venue
Xiamen, China

Book title
Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010

Pages range
750 - 753

Publisher
IEEE

Place
Xiamen

Language
English