Title :
Mining pattern of supplier with the methodology of domain-driven data mining
Author :
Xu, Xu ; Lin, Jie ; Xu, Dongming
Author_Institution :
Sch. of Econ. & Manage., Tongji Univ., Shanghai, China
Abstract :
Supplier selection has a critical effect on the competitiveness of the entire supply chain network. It is not only a significant work in supply chain management but also a complex decision making problem which includes both qualitative and quantitative factors. Research results indicate that the supplier selection process appears to satisfy different evaluation criteria and business model in deciding the success of the supply chain. Supplier selection problem related to organization strategy and it needs more critical analysis. This paper proposes a novel approach that combines expert domain knowledge with Apriori algorithm of data mining to discover the pattern of supplier under the methodology of Domain-Driven Data Mining (D3M). Apriori algorithm of data mining with the help of Intuitionistic Fuzzy Set Theory (IFST) is employed during the process of mining. The overall patterns obtained help in deciding the final selection of suppliers. Finally, AHP is used to efficiently tackle both quantitative and qualitative decision factors involved in ranking of suppliers with the help of pattern achieved. An example searching for pattern of supplier is used to demonstrate the effective implementation procedure of proposed method. The proposed method can provide the guidelines for the decision makers to effectively select their suppliers in the current competitive business scenario.
Keywords :
corporate modelling; data mining; decision making; fuzzy set theory; supply chain management; Apriori algorithm; business model; complex decision making problem; decision factors; domain-driven data mining; evaluation criteria; expert domain knowledge; intuitionistic fuzzy set theory; organization strategy; pattern discovery; pattern mining; supplier selection problem; supplier selection process; supply chain management; supply chain network; Collaboration; Companies; Customer satisfaction; Data envelopment analysis; Data mining; Decision making; Mathematical model; Qualifications; Supply chain management; Supply chains;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277366