Location Selection of Logistics Center in e-Commerce Network Environments

Baiyu Chen; Biying Wang

doi:doi:10.11648/j.ajnna.20170304.11

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Location Selection of Logistics Center in e-Commerce Network Environments

Baiyu Chen, Biying Wang

Published in American Journal of Neural Networks and Applications (Volume 3, Issue 4)

Received: 31 October 2017 Accepted: 20 November 2017 Published: 26 December 2017

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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.

Published in	American Journal of Neural Networks and Applications (Volume 3, Issue 4)
DOI	10.11648/j.ajnna.20170304.11
Page(s)	40-48
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Logistics Center Location, Cluster Analysis, Analytic Hierarchy Process, Neural Network, Machine Learning

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Baiyu Chen, Biying Wang. (2017). Location Selection of Logistics Center in e-Commerce Network Environments. American Journal of Neural Networks and Applications, 3(4), 40-48. https://doi.org/10.11648/j.ajnna.20170304.11

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ACS Style

Baiyu Chen; Biying Wang. Location Selection of Logistics Center in e-Commerce Network Environments. Am. J. Neural Netw. Appl. 2017, 3(4), 40-48. doi: 10.11648/j.ajnna.20170304.11

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AMA Style

Baiyu Chen, Biying Wang. Location Selection of Logistics Center in e-Commerce Network Environments. Am J Neural Netw Appl. 2017;3(4):40-48. doi: 10.11648/j.ajnna.20170304.11

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@article{10.11648/j.ajnna.20170304.11,
  author = {Baiyu Chen and Biying Wang},
  title = {Location Selection of Logistics Center in e-Commerce Network Environments},
  journal = {American Journal of Neural Networks and Applications},
  volume = {3},
  number = {4},
  pages = {40-48},
  doi = {10.11648/j.ajnna.20170304.11},
  url = {https://doi.org/10.11648/j.ajnna.20170304.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20170304.11},
  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.},
 year = {2017}
}

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TY  - JOUR
T1  - Location Selection of Logistics Center in e-Commerce Network Environments
AU  - Baiyu Chen
AU  - Biying Wang
Y1  - 2017/12/26
PY  - 2017
N1  - https://doi.org/10.11648/j.ajnna.20170304.11
DO  - 10.11648/j.ajnna.20170304.11
T2  - American Journal of Neural Networks and Applications
JF  - American Journal of Neural Networks and Applications
JO  - American Journal of Neural Networks and Applications
SP  - 40
EP  - 48
PB  - Science Publishing Group
SN  - 2469-7419
UR  - https://doi.org/10.11648/j.ajnna.20170304.11
AB  - 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.
VL  - 3
IS  - 4
ER  -

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Author Information

Baiyu Chen

College of Engineering, University of California Berkeley, Berkeley, USA
Biying Wang

Engineering Institute, Ocean University of China, Qingdao, China

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APA Style

Baiyu Chen, Biying Wang. (2017). Location Selection of Logistics Center in e-Commerce Network Environments. American Journal of Neural Networks and Applications, 3(4), 40-48. https://doi.org/10.11648/j.ajnna.20170304.11

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ACS Style

Baiyu Chen; Biying Wang. Location Selection of Logistics Center in e-Commerce Network Environments. Am. J. Neural Netw. Appl. 2017, 3(4), 40-48. doi: 10.11648/j.ajnna.20170304.11

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AMA Style

Baiyu Chen, Biying Wang. Location Selection of Logistics Center in e-Commerce Network Environments. Am J Neural Netw Appl. 2017;3(4):40-48. doi: 10.11648/j.ajnna.20170304.11

Copy | Download

@article{10.11648/j.ajnna.20170304.11,
  author = {Baiyu Chen and Biying Wang},
  title = {Location Selection of Logistics Center in e-Commerce Network Environments},
  journal = {American Journal of Neural Networks and Applications},
  volume = {3},
  number = {4},
  pages = {40-48},
  doi = {10.11648/j.ajnna.20170304.11},
  url = {https://doi.org/10.11648/j.ajnna.20170304.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20170304.11},
  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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Location Selection of Logistics Center in e-Commerce Network Environments
AU  - Baiyu Chen
AU  - Biying Wang
Y1  - 2017/12/26
PY  - 2017
N1  - https://doi.org/10.11648/j.ajnna.20170304.11
DO  - 10.11648/j.ajnna.20170304.11
T2  - American Journal of Neural Networks and Applications
JF  - American Journal of Neural Networks and Applications
JO  - American Journal of Neural Networks and Applications
SP  - 40
EP  - 48
PB  - Science Publishing Group
SN  - 2469-7419
UR  - https://doi.org/10.11648/j.ajnna.20170304.11
AB  - 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.
VL  - 3
IS  - 4
ER  -

Copy | Download