scholarly journals Location Selection of Chinese Modern Railway Logistics Center Based on DEA-Bi-level Programming Model

2013 ◽  
Vol 6 (5) ◽  
pp. 812-818 ◽  
Author(s):  
Fenling Feng ◽  
Feiran Li ◽  
Qingya Zhang
Keyword(s):  
Programming Model ◽  
Location Selection ◽  
Logistics Center ◽  
Selection Of

Study on Location Selection of FMCG Logistics Centers Based on Fuzzy MCDM Model

2015 ◽  
Vol 744-746 ◽  
pp. 1888-1894
Author(s):  
Yang Yang ◽  
Jun Yan Fan ◽  
Ling Rui Zhang
Keyword(s):  
Set Theory ◽  
Fuzzy Set Theory ◽  
Decision Process ◽  
Multiple Criteria Decision Making ◽  
Location Selection ◽  
Logistics Center ◽  
Operation Efficiency ◽  
Center Location ◽  
Complex Decision ◽  
Selection Of

To reduce logistics costs and enhance operation efficiency, selecting a suitable logistics center location has become a very important issue for manufacturing, sales and logistics industries. The selection of logistics centers is a most important decision owing to the need to consider various criteria that involve a complex decision process in which multiple requirements and uncertain conditions have to be taken into consideration simultaneously. In this paper, we propose a multiple criteria decision-making (MCDM) model based on fuzzy-set theory. And it is applied to the evaluation and selection of logistic centers. In the model, quantitative and qualitative criteria as well as the different importance weights of all the criteria are considered. A FMCG logistics center location example is used to elaborate how to use this model; meanwhile, the method is proved more scientific and reliable.

scholarly journals A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Kou-Huang Chen ◽  
Chin-Nung Liao ◽  
Li-Chun Wu
Keyword(s):  
Airline Industry ◽  
Decision Makers ◽  
Location Problems ◽  
Benefit Analysis ◽  
Location Selection ◽  
Logistics Center ◽  
Aspiration Levels ◽  
Order Preference ◽  
Cost And Benefit Analysis ◽  
Selection Of

The location selection of a logistics center is a crucial decision relating to cost and benefit analysis in airline industry. However, it is difficult to be solved because there are many conflicting and multiple objectives in location problems. To solve the problem, this paper integrates fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) and multichoice goal programming (MCGP) to obtain an appropriate logistics center from many alternative locations for airline industry. The proposed method in this paper will offer the decision makers (DMs) to set multiple aspiration levels for the decision criteria. A numerical example of application is also presented.

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