The MARS-Based Research about Reliability Judgement of Members of Supply Chain Alliance

Author

Jia-shan, Song ; Yong, Li ; Feng, Ji ; Hao-ying, Sun ; Ying, Zhu ; Cheng, Peng

Author_Institution

Univ. of Sci. & Technol. of China, Hefei

fYear

2008

fDate

23-24 Jan. 2008

Firstpage

283

Lastpage

288

Abstract

Supply chain alliance (SCA) is becoming an important origin for enterprises to win competitive advantages.How to judge reliability of members in SCA is an essential problem for SCA, and is also one of the key problems for members to keep long-term collaboration. The paper constructs a model to judge the members´reliability by multivariate adaptive regression splines (MARS) for the first time. MARS has the attributes of objectivity, effectivity and robust, and it could avoid dependency on subjective factors to some extent, which contributes to a scientific, integrated judgement system,and thus helps the SCA operate steadily and effectively.

Keywords

regression analysis; splines (mathematics); supply chain management; MARS-based research; integrated judgement system; long-term collaboration; multivariate adaptive regression splines; reliability judgement; supply chain alliance; Collaboration; Data mining; Educational institutions; Mars; Robustness; Statistics; Sun; Supply chain management; Supply chains; Technological innovation;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on

Conference_Location

Adelaide, SA

Print_ISBN

978-0-7695-3090-1

Type

conf

DOI

10.1109/WKDD.2008.114

Filename

4470395