DocumentCode :
2502038
Title :
Research on methods-fusion decision technology of the key-client evaluation for urban logistics company
Author :
Dong, Hongzhao ; Yang, Fengyu ; Guo, Mingfei
Author_Institution :
MOE Key Lab. of Mech. Manuf. & Autom., Zhejiang Univ. of Technol., Hangzhou
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
9120
Lastpage :
9125
Abstract :
Commonly the current 3rd party urban logistics companies lack of mature historical data and a proper decision method to evaluate the key client in China. An individual decision method appears a certain shortage correspondingly. To solve the issue, a novel method, methods-fusion style decision technology based on D-S evidence theory is proposed to evaluate the key client of those companies. A practical comprehensive decision support system was developed by the fusion of several methods including statistic, forecasting and clustering. Eventually, the experiment demonstrated that the methods-fusion style decision technology could adapt to the current 3rd logistics company and shows to be more robust and accurate than just a single decision method.
Keywords :
decision support systems; decision theory; inference mechanisms; logistics; 3rd party urban logistics company; D-S evidence theory; decision support system; key-client evaluation; methods-fusion decision technology; Decision support systems; Industrial economics; Intelligent control; Intelligent manufacturing systems; Investments; Laboratories; Logistics; Manufacturing automation; Robustness; Statistics; D-S evidence theory; Methods-fusion style decision; key client; the 3rd party logistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594372
Filename :
4594372
Link To Document :
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