Factor Analysis Model on Impact Index for Logistics Center Location
Kuang Wang
Abstract
Open-access reader
Kuang Wang
Abstract
Open-access reader
Reasonable logistics center location has important role in optimizing the transport route, reducing the logistics cost, improving the operational efficiency and promoting the regional development.According to the current situation, the impact index of the logistics center location is more, this paper based on factor analysis method to study.First, build the impact indicators system of logistics center location, it consists of 12 indicators; then, according to the solving steps of factor analysis method to build mathematical model, to carry out the data calculation, and analyses the result.The 12 impact index are abstracted into 6 factors by dimensional reduction method, with less dimension integrate the data, obtained on logistics center location accurate and convenient research, the further study of the logistics center location provides a simple method.
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Reasonable logistics center location has important role in optimizing the transport route, reducing the logistics cost, improving the operational efficiency and promoting the regional development.According to the current situation, the impact index of the logistics center location is more, this paper based on factor analysis method to study.First, build the impact indicators system of logistics center location, it consists of 12 indicators; then, according to the solving steps of factor analysis method to build mathematical model, to carry out the data calculation, and analyses the result.The 12 impact index are abstracted into 6 factors by dimensional reduction method, with less dimension integrate the data, obtained on logistics center location accurate and convenient research, the further study of the logistics center location provides a simple method.
Key concepts: Logistics center, Computer science, Index (typography), Factor (programming language), Center (category theory), Location model, Dimension (graph theory), Impact factor