DocumentCode :
472455
Title :
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
Link To Document :
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