Application of Big Data Analysis Method in Supply Chain

Dou Xin-xin; Wang Xiao-ping

doi:doi:10.11648/j.net.20160401.11

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Application of Big Data Analysis Method in Supply Chain

Dou Xin-xin, Wang Xiao-ping

Published in Advances in Networks (Volume 4, Issue 1)

Received: 21 August 2016 Accepted: 29 August 2016 Published: 30 August 2016

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Abstract

Big data has the characteristics of large scale, many kinds, fast generation, high value but low density. Big data application is the use of data analysis methods, from the big data mining effective information, to provide users with auxiliary decision-making, to realize the process of large data value. In the era of limited information processing capacity, the world needs data analysis, but the lack of tools used to analyze the collected data, so the big data analysis method came into being. Big data analysis has changed a lot of business areas, especially in the supply chain management of the biggest change in the application. This paper mainly introduces the application of big data analysis method and the application in the supply chain, and further expounds the future development of big data analysis method in the future.

Published in	Advances in Networks (Volume 4, Issue 1)
DOI	10.11648/j.net.20160401.11
Page(s)	1-5
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), 2016. Published by Science Publishing Group

Keywords

Big Data, Big Data Analysis Method, Supply Chain Management

References

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[3]	Wang Qinmin. Application of big data in economic and social development [N]. Journal of geography, 2015. 70 (5).
[4]	Yan Zhixin. Big data on the impact of the retail industry procurement and supply chain management [J]. industrial economy, 2015. 46.
[5]	He Jiao. The application prospect of [J]. logistics engineering and management of large data in JIT procurement, 2014. 07 (49).
[6]	Zeng Nili. Application of big data in manufacturing enterprise [J]. database and information management, 2014.20 (07).
[7]	Ye Bin. Research on the application of big data in logistics enterprise [J]. logistics technology, 2014. 33 (08).
[8]	He Rongxuan. The traditional logistics to modern supply chain management transformation strategy [J]. enterprise economy, 2014. 373 (09).
[9]	Tian Xue. The application of big data in logistics enterprise [D]. modern service industry.2015.01 (17): 36-37.
[10]	Nada R. Sanders. large data supply chain [M]. Beijing: Renmin University of China press, 2015, 31-36.

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APA Style

Dou Xin-xin, Wang Xiao-ping. (2016). Application of Big Data Analysis Method in Supply Chain. Advances in Networks, 4(1), 1-5. https://doi.org/10.11648/j.net.20160401.11

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ACS Style

Dou Xin-xin; Wang Xiao-ping. Application of Big Data Analysis Method in Supply Chain. Adv. Netw. 2016, 4(1), 1-5. doi: 10.11648/j.net.20160401.11

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AMA Style

Dou Xin-xin, Wang Xiao-ping. Application of Big Data Analysis Method in Supply Chain. Adv Netw. 2016;4(1):1-5. doi: 10.11648/j.net.20160401.11

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@article{10.11648/j.net.20160401.11,
  author = {Dou Xin-xin and Wang Xiao-ping},
  title = {Application of Big Data Analysis Method in Supply Chain},
  journal = {Advances in Networks},
  volume = {4},
  number = {1},
  pages = {1-5},
  doi = {10.11648/j.net.20160401.11},
  url = {https://doi.org/10.11648/j.net.20160401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20160401.11},
  abstract = {Big data has the characteristics of large scale, many kinds, fast generation, high value but low density. Big data application is the use of data analysis methods, from the big data mining effective information, to provide users with auxiliary decision-making, to realize the process of large data value. In the era of limited information processing capacity, the world needs data analysis, but the lack of tools used to analyze the collected data, so the big data analysis method came into being. Big data analysis has changed a lot of business areas, especially in the supply chain management of the biggest change in the application. This paper mainly introduces the application of big data analysis method and the application in the supply chain, and further expounds the future development of big data analysis method in the future.},
 year = {2016}
}

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TY  - JOUR
T1  - Application of Big Data Analysis Method in Supply Chain
AU  - Dou Xin-xin
AU  - Wang Xiao-ping
Y1  - 2016/08/30
PY  - 2016
N1  - https://doi.org/10.11648/j.net.20160401.11
DO  - 10.11648/j.net.20160401.11
T2  - Advances in Networks
JF  - Advances in Networks
JO  - Advances in Networks
SP  - 1
EP  - 5
PB  - Science Publishing Group
SN  - 2326-9782
UR  - https://doi.org/10.11648/j.net.20160401.11
AB  - Big data has the characteristics of large scale, many kinds, fast generation, high value but low density. Big data application is the use of data analysis methods, from the big data mining effective information, to provide users with auxiliary decision-making, to realize the process of large data value. In the era of limited information processing capacity, the world needs data analysis, but the lack of tools used to analyze the collected data, so the big data analysis method came into being. Big data analysis has changed a lot of business areas, especially in the supply chain management of the biggest change in the application. This paper mainly introduces the application of big data analysis method and the application in the supply chain, and further expounds the future development of big data analysis method in the future.
VL  - 4
IS  - 1
ER  -

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Author Information

Dou Xin-xin

School of Logistics, Beijing Wuzi University, Beijing, China
Wang Xiao-ping

School of Logistics, Beijing Wuzi University, Beijing, China

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Plain Text BibTeX RIS

APA Style

Dou Xin-xin, Wang Xiao-ping. (2016). Application of Big Data Analysis Method in Supply Chain. Advances in Networks, 4(1), 1-5. https://doi.org/10.11648/j.net.20160401.11

Copy | Download

ACS Style

Dou Xin-xin; Wang Xiao-ping. Application of Big Data Analysis Method in Supply Chain. Adv. Netw. 2016, 4(1), 1-5. doi: 10.11648/j.net.20160401.11

Copy | Download

AMA Style

Dou Xin-xin, Wang Xiao-ping. Application of Big Data Analysis Method in Supply Chain. Adv Netw. 2016;4(1):1-5. doi: 10.11648/j.net.20160401.11

Copy | Download

@article{10.11648/j.net.20160401.11,
  author = {Dou Xin-xin and Wang Xiao-ping},
  title = {Application of Big Data Analysis Method in Supply Chain},
  journal = {Advances in Networks},
  volume = {4},
  number = {1},
  pages = {1-5},
  doi = {10.11648/j.net.20160401.11},
  url = {https://doi.org/10.11648/j.net.20160401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20160401.11},
  abstract = {Big data has the characteristics of large scale, many kinds, fast generation, high value but low density. Big data application is the use of data analysis methods, from the big data mining effective information, to provide users with auxiliary decision-making, to realize the process of large data value. In the era of limited information processing capacity, the world needs data analysis, but the lack of tools used to analyze the collected data, so the big data analysis method came into being. Big data analysis has changed a lot of business areas, especially in the supply chain management of the biggest change in the application. This paper mainly introduces the application of big data analysis method and the application in the supply chain, and further expounds the future development of big data analysis method in the future.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Application of Big Data Analysis Method in Supply Chain
AU  - Dou Xin-xin
AU  - Wang Xiao-ping
Y1  - 2016/08/30
PY  - 2016
N1  - https://doi.org/10.11648/j.net.20160401.11
DO  - 10.11648/j.net.20160401.11
T2  - Advances in Networks
JF  - Advances in Networks
JO  - Advances in Networks
SP  - 1
EP  - 5
PB  - Science Publishing Group
SN  - 2326-9782
UR  - https://doi.org/10.11648/j.net.20160401.11
AB  - Big data has the characteristics of large scale, many kinds, fast generation, high value but low density. Big data application is the use of data analysis methods, from the big data mining effective information, to provide users with auxiliary decision-making, to realize the process of large data value. In the era of limited information processing capacity, the world needs data analysis, but the lack of tools used to analyze the collected data, so the big data analysis method came into being. Big data analysis has changed a lot of business areas, especially in the supply chain management of the biggest change in the application. This paper mainly introduces the application of big data analysis method and the application in the supply chain, and further expounds the future development of big data analysis method in the future.
VL  - 4
IS  - 1
ER  -

Copy | Download