Study on Bi-Level Programming Model and Algorithm of Distribution Center Location Based on Inventory Strategy

2013 ◽  
Vol 409-410 ◽  
pp. 1067-1070
Author(s):  
Fei Wei ◽  
Cheng Long Ge
Keyword(s):  
Genetic Algorithm ◽  
Programming Model ◽  
Distribution Center ◽  
Decision Makers ◽  
Inventory Costs ◽  
Model Based ◽  
Center Location ◽  
Inventory Strategy ◽  
Distribution Center Location

The paper proposes a model to solve distribution center location considering inventory costs and both two decision makers with different objectives - location planners and customers. The model based on both the upper and lower policymakers has great significance, besides, the paper uses genetic algorithm to solve the model, and finally an example prove the model and algorithm are feasible.

Optimization of a regional distribution center location for parts of end-of-life vehicles

SIMULATION ◽  
2017 ◽  
Vol 94 (7) ◽  
pp. 577-591 ◽  
Author(s):  
Y Sun ◽  
YT Wang ◽  
C Chen ◽  
B Yu
Keyword(s):  
End Of Life ◽  
Programming Model ◽  
Regional Distribution ◽  
Transportation Cost ◽  
Real Data ◽  
Distribution Center ◽  
Distribution Centers ◽  
Center Location ◽  
High Transportation Cost ◽  
Distribution Center Location

The high transportation cost of the parts of end-of-life vehicles (ELVs) has received a great deal of attention lately, and different approaches for solving the problem have been taken. In this paper, a bi-level programming model is developed to decompose the distribution center location problem for the parts of ELVs in order to obtain a trade-off between the location cost of the distribution center and the transportation cost. The upper level determines the sites of distribution centers and the lower level represents the delivery routes under any location pattern of candidate sites of distribution centers. The proposed model is illustrated by real data and the results demonstrate that it can be an effective method to determinate a distribution center for ELVs.

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