An emergency service center location model for vehicle repair with priority queuing rules and service level constrains

2011 ◽  
Author(s):  
Li-si Cao ◽  
Zi-xian Liu
Keyword(s):  
Emergency Service ◽  
Service Level ◽  
Location Model ◽  
Service Center ◽  
Center Location

Research on Mixed Intelligent Arithmetic of Reuse Reverse Logistics Centers' Location Model

2014 ◽  
Vol 945-949 ◽  
pp. 3246-3251 ◽  
Author(s):  
Lu Feng Dai ◽  
Xi Fu Wang
Keyword(s):  
Genetic Algorithm ◽  
Linear Programming ◽  
Stochastic Simulation ◽  
Reverse Logistics ◽  
Random Variables ◽  
Location Model ◽  
Logistics Center ◽  
Center Location

The paper builds the model of direct reuse reverse logistics center location followed by the uncertainty random variables of the demand of retailers and the recovery of collection points. This model assumes that the enterprises are expanding on the traditional network. For the random variables, they will be solved by using stochastic simulation, genetic algorithm and linear programming, and numericai exampie is presented.

The Research on Location of Multi-Level Network Distribution Centers

2011 ◽  
Vol 97-98 ◽  
pp. 653-658
Author(s):  
Ying Wu ◽  
Yi Lu ◽  
Yang Li
Keyword(s):  
Genetic Algorithm ◽  
Mixed Strategy ◽  
Service Level ◽  
Distribution Center ◽  
Location Model ◽  
Practical Case ◽  
Distribution Centers ◽  
Advantages And Disadvantages ◽  
Multi Level

This paper studies the time matter in distribution center’s service level, states a model’s preconditions and constructs a location model of multi-level disribution center which concerns the time matter. In solution, it studies the advantages and disadvantages of genetic algorithm, proposes a mixed strategy, designs the HGA program and studies the application of HGA in the location model of distribution center. In the end , it shows the practicality and correctness the proposed methods and models by the application in the practical case.

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