Logistics Distribution Center Location Decision-making Model Based on Simulation Optimization

Author(s):  
Liu Deling ◽  
Huang Liping ◽  
Liang Zhongwei ◽  
Wang Xuping
2012 ◽  
Vol 629 ◽  
pp. 808-814
Author(s):  
Wei Dong Tian ◽  
Hai Qiu Jiang ◽  
Hong Juan Zhou ◽  
Dan Guo ◽  
Wen Bo Li ◽  
...  

Different from the other distribution center location methods, there are new characteristics in distribution center location during earthquake disaster responses. In this paper, we investigate the factors impacting the location of distribution center during earthquake responses, and propose a decision-making model based on improved AHP framework for this issue. The improved AHP is extended to automatically calculate large scale judgment matrices by the crosstie model. This decision-making model was successfully applied in the simulation case of Yushu earthquake responses in 2010. The results show that the proposed decision-making model is reasonable.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Bowen Wang ◽  
Haitao Xiong ◽  
Chengrui Jiang

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center.


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