DocumentCode :
515110
Title :
The study of logistics partner selection under the 4PL model
Author :
Yang, Song ; Yanqing, Wang ; Songtao, Zhang
Author_Institution :
Sch. of Manage., Harbin Univ. of Commerce, Harbin, China
Volume :
2
fYear :
2010
fDate :
9-10 Jan. 2010
Firstpage :
954
Lastpage :
959
Abstract :
The problem of logistics partner selection is a key problem in the operational process of fourth party logistics (4PL) model. We propose logistics partner selection index system and use the method of AHP to determine weight coefficient of each index, on the basis of analysis of the influence factors of logistics partner selection under the 4PL model. Whereas the 4PL enterprise usually selects more than one logistics enterprise of more than one kind as its partners, we propose an optimization model of the logistics partner selection under the 4PL model, based on comparing strength of each logistics enterprise and compartmentalizing the logistics demand by region. And an improved algorithm is presented based on genetic algorithm by using the methods of binary encoding, larger population size and smaller crossover probability. Finally, we carry out an example to illustrate the validity of the model and algorithm.
Keywords :
genetic algorithms; probability; supply chains; AHP method; binary encoding; crossover probability; fourth party logistics model; genetic algorithm; logistics demand compartmentalization; logistics enterprise; logistics partner selection; operational process; optimization model; Business; Collaboration; Electronic mail; Encoding; Genetic algorithms; Logistics; Skeleton; Supply chain management; Supply chains; AHP; Fourth Party Logistics; Genetic Algorithm; Partner Selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
Type :
conf
DOI :
10.1109/ICLSIM.2010.5461041
Filename :
5461041
Link To Document :
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