Volume 3, Issue 4, August 2017, Page: 40-48
Location Selection of Logistics Center in e-Commerce Network Environments
Baiyu Chen, College of Engineering, University of California Berkeley, Berkeley, USA
Biying Wang, Engineering Institute, Ocean University of China, Qingdao, China
Received: Oct. 31, 2017;       Accepted: Nov. 20, 2017;       Published: Dec. 26, 2017
DOI: 10.11648/j.ajnna.20170304.11      View  1754      Downloads  53
Abstract
The site selection of logistics center is a very complicated and enormous system problem. Each site selection method and model is based on a certain premise and hypothesis. The site selection decision of distribution center has an important influence on the whole logistics system operation. A good location of urban logistics sites is important for optimizing the logistics network, and improving the urban traffic conditions, and level of logistics services. Motivated by this, in this paper, based on the research of sixteen cities in southeastern China and neural network algorithms, we proposed a logistics center location selection algorithm. Our method considers the six important concepts reflecting the performance index of the city logistics, such as city location quotient, market prosperity degree, proportion of freight volume, urban centricity, per capita gross domestic product (GDP), and population size. Our method conducts the nested fuzzy analytic hierarchy process (AHP), and then investigates the total ranking of the single order hierarchy to select suitable logistics centers.
Keywords
Logistics Center Location, Cluster Analysis, Analytic Hierarchy Process, Neural Network, Machine Learning
To cite this article
Baiyu Chen, Biying Wang, Location Selection of Logistics Center in e-Commerce Network Environments, American Journal of Neural Networks and Applications. Vol. 3, No. 4, 2017, pp. 40-48. doi: 10.11648/j.ajnna.20170304.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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