A multi-period order allocation model of two-echelon logistics service supply chain based on inequity aversion theory

Author(s):  
Weihua Liu ◽  
Zhicheng Liang ◽  
Yang Liu ◽  
Yijia Wang ◽  
Qian Wang
2021 ◽  
Vol 188 ◽  
pp. 121-129
Author(s):  
Shuiwang Zhang ◽  
Cancan Bi ◽  
Min Zhang

2012 ◽  
Vol 157-158 ◽  
pp. 189-192
Author(s):  
Bin Yang ◽  
Chun Xiao Li ◽  
Yi Bing Zhang ◽  
Wei Kong

In the logistics service supply chain based on Multi-Agent system, it is a combinatorial optimization problem possessing highly complexity and dynamic uncertainty to allocate the resources of various logistics companies. Therefore, in this paper, ant colony algorithm is introduced to the Multi-Agent System, and we establish a resource allocation model based on ant colony algorithm for logistics service supply chain in view of Multi-Agent. In the model, ants are replaced by agents. At the end, the paper realizes the optimization of logistics services supply chain.


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