DocumentCode
537709
Title
Integrated Approach to Select Logistics Enterprise Based on Uncertainty Information
Author
Ying, Wei ; Baoping, Ji ; Feng, Zhou ; Di, Zhang ; Yixiang, Liu
Author_Institution
China Agric. Univ., Beijing, China
Volume
1
fYear
2010
fDate
11-12 Nov. 2010
Firstpage
627
Lastpage
631
Abstract
Since multifarious service will be provided by logistics enterprises, selecting an optimal logistics enterprise is one pivotal purpose of the manufacture enterprises. Considering the important uncertainty factors such as enterprise magnitude, transport capability and stockpile capability, an integrated approach (IA) based on the Data Envelopment Analysis (DEA) and Multi-Attribute Decision Making (MADM) was put forward, which could evaluate the logistics efficiency of the enterprises and select the optimal logistics enterprise reliably. At last, an enterprise selecting example was provided, and the result illuminated the approach was effective and feasible to select more optimal logistics enterprise.
Keywords
data envelopment analysis; decision making; logistics; data envelopment analysis; enterprise magnitude; logistics enterprise selection; multi-attribute decision making; multifarious service; stockpile capability; transport capability; uncertainty information; DEA; Integrated Approach; Logistics Enterprise; MADM;
fLanguage
English
Publisher
ieee
Conference_Titel
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location
Haiko
Print_ISBN
978-1-4244-8683-0
Type
conf
DOI
10.1109/ICOIP.2010.178
Filename
5663164
Link To Document