DocumentCode :
519699
Title :
A hybrid decision method for multi-resolution model of logistics location
Author :
Zhang, Li-yan ; Sun, Yan ; Ma, Jian
Author_Institution :
Sch. of Transp. Eng., Tongji Univ., Shanghai, China
Volume :
2
fYear :
2010
fDate :
21-24 May 2010
Abstract :
The paper presents a novel Multi-Resolution Model (MRM) of Logistics Location based on the theory of Multi-Resolution Modeling. Using MRM simulation thoughts, it points out the necessity of MRM of Logistics Location by analyzing the key technology of MRM. MRM utilizes Cost - Revenue model(C-R) based on Fuzzy Multiple Attribute Hierarchical Macro Location model (FMAHML) in macroscopic, mesoscopic and microscopic logistics location problem and prove it. Finally, the paper shows the computation process of MRM model in logistics location problem in detail with a hybrid decision algorithm, which combines Fuzzy Synthetic Evaluation method(FSE) with Maximum Coverage-Minimum Cost method(MC-MC). It conforms MRM has a high utility and convenience.
Keywords :
costing; decision theory; fuzzy set theory; logistics; operations research; cost-revenue model; fuzzy multiple attribute hierarchical macro location model; fuzzy synthetic evaluation method; hybrid decision method; macroscopic logistics location problem; maximum coverage-minimum cost method; mesoscopic logistics location problem; microscopic logistics location problem; multiresolution model; Analytical models; Cities and towns; Civil engineering; Computational modeling; Costs; Logistics; Multiresolution analysis; Paper technology; Roads; Transportation; Fuzzy Synthetic Evaluation method; Hybrid decision; Macro-location model of logistics node; Maximum Coverage-Minimum Cost method; Multi-resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
Type :
conf
DOI :
10.1109/ICFCC.2010.5497652
Filename :
5497652
Link To Document :
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