Title :
A fuzzy-based commodity cluster analysis for Harbin Central-Red supermarket
Author :
Li, Yang ; Wang, Lihai
Author_Institution :
Logistics Eng. Dept., Northeast Forestry Univ., Harbin, China
Abstract :
By analyzing the related theory and methods commonly used by the current retailing enterprises, the main basis and influencing factors of commodity procurement under the supply chain environment can be affirmed. As well, classification of the commodity can be carried out according to 8 factors, such as price, delivering cycle, storage life, purchase quantity, sale quantity, transportation cost, seasonality and fragility. Further all commodities are to be classified on the basis of fuzzy clustering theory in combination with the Central-Red supermarket in Harbin. The results of classification can provide some preferences to make procurement plan for retailing enterprises, which enable these enterprises to seek economical and advanced procurement methods on their actual situations and needs.
Keywords :
fuzzy set theory; procurement; retailing; Harbin central-red supermarket; fuzzy-based commodity cluster analysis; procurement plan; retailing enterprises; supply chain environment; Classification algorithms; Clustering algorithms; Equations; Home appliances; Marketing and sales; Procurement; Transportation; commodity classification; fuzzy clustering algorithm; procurement management;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569356