Research on the Construction of Supply Chain Network Based on Fixed Spread Risk

Lei Wen; Yachao Shi; Mingfang Guo

doi:doi:10.11648/j.sjams.20130105.13

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Research on the Construction of Supply Chain Network Based on Fixed Spread Risk

Lei Wen, Yachao Shi, Mingfang Guo

Published in Science Journal of Applied Mathematics and Statistics (Volume 1, Issue 5)

Received: 8 October 2013 Published: 10 November 2013

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Abstract

Supply chain is an integrated network where suppliers, sellers and customers are highly interconnected through business activities. The basic character of supply chain is complexity, dynamic and growth. In this paper, based on the complex network theory, we build a supply chain network model based on gradual risk. The dynamic growth mechanism of the supply chain network is based on the local world evolving model. The new node adds the local world entering with a certain probability. Combined with supply chain, the node, the edge and the weighted and the network are being redefined. The process of how new added node assign risk to old nodes is also introduced

Published in	Science Journal of Applied Mathematics and Statistics (Volume 1, Issue 5)
DOI	10.11648/j.sjams.20130105.13
Page(s)	50-53
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), 2013. Published by Science Publishing Group

Keywords

Supply Chain, Complex Networks, Risk Model, Generation Process

References

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[2]	Hokey Mina, Gengui Zhoub. Supply chain modeling: past, present and future [J]. Computers & Industrial Engineering. 2002, 43(1): 231-249.
[3]	Nakamaru M, Levin S A. Spread of two linked social norms on complex interaction networks [J]. Journal of Theoretical Biology. 2004, 230(1): 57-64.
[4]	Lei W, Mingfang G, Lijun W. The Directed Complex Network Application in the Supply Chain[C]//Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on. IEEE, 2012: 911-914.
[5]	Christopher M, Peck H. Building the resilient supply chain [J]. International Journal of Logistics Management, 2004, 15(2): 1-14.
[6]	Pinior B, Konschake M, Platz U, et al. The trade network in the dairy industry and its implication for the spread of contamination [J]. Journal of dairy science, 2012.
[7]	Kathrin Büttner,Joachim Krieter, Arne Traulsen,Imke Traulsen. Static network analysis of a poultry supply chain in Northern Germany—Characterisation of the potential spread of infectious diseases via animal movements [J]. 2013, 110(3-4): 418-428.
[8]	Van Steenwinkel S, Ribbens S, Ducheyne E, et al. Assessing biosecurity practices, movements and densities of poultry sites across Belgium, resulting in different farm risk-groups for infectious disease introduction and spread [J]. Preventive veterinary medicine, 2011, 98(4): 259-270.
[9]	Monique A. van der Gaaga Fred Vosa et al. A state-transition simulation model for the spread of Salmonella in the pork supply chain [J]. European Journal of Operational Research, 156(2004). pp. 782-798.
[10]	Paul M, Baritaux V, Wongnarkpet S, et al. Practices associated with Highly Pathogenic Avian Influenza spread in traditional poultry marketing chains: Social and economic perspectives[J]. Acta tropica, 126(2013). pp. 43-53.
[11]	Fabrizio Natalea et al.Network analysis of Italian cattle trade patterns and evaluation of risks for potential disease spread [J]. Preventive Veterinary Medicine, 4(2009). pp. 341-350
[12]	Monique A. van der Gaaga Fred Vosa et al. A state-transition simulation model for the spread of Salmonella in the pork supply chain [J]. European Journal of Operational Research, 156(2004). pp. 782-798.
[13]	Kathrin Büttner,Joachim Krieter, Arne Traulsen,Imke Traulsen. Static network analysis of a poultry supply chain in Northern Germany—Characterisation of the potential spread of infectious diseases via animal movements [J]. 2013, 110(3-4): 418-428.

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APA Style

Lei Wen, Yachao Shi, Mingfang Guo. (2013). Research on the Construction of Supply Chain Network Based on Fixed Spread Risk. Science Journal of Applied Mathematics and Statistics, 1(5), 50-53. https://doi.org/10.11648/j.sjams.20130105.13

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ACS Style

Lei Wen; Yachao Shi; Mingfang Guo. Research on the Construction of Supply Chain Network Based on Fixed Spread Risk. Sci. J. Appl. Math. Stat. 2013, 1(5), 50-53. doi: 10.11648/j.sjams.20130105.13

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AMA Style

Lei Wen, Yachao Shi, Mingfang Guo. Research on the Construction of Supply Chain Network Based on Fixed Spread Risk. Sci J Appl Math Stat. 2013;1(5):50-53. doi: 10.11648/j.sjams.20130105.13

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@article{10.11648/j.sjams.20130105.13,
  author = {Lei Wen and Yachao Shi and Mingfang Guo},
  title = {Research on the Construction of Supply Chain Network Based on Fixed Spread Risk},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {1},
  number = {5},
  pages = {50-53},
  doi = {10.11648/j.sjams.20130105.13},
  url = {https://doi.org/10.11648/j.sjams.20130105.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20130105.13},
  abstract = {Supply chain is an integrated network where suppliers, sellers and customers are highly interconnected through business activities. The basic character of supply chain is complexity, dynamic and growth. In this paper, based on the complex network theory, we build a supply chain network model based on gradual risk. The dynamic growth mechanism of the supply chain network is based on the local world evolving model. The new node adds the local world entering with a certain probability. Combined with supply chain, the node, the edge and the weighted and the network are being redefined. The process of how new added node assign risk to old nodes is also introduced},
 year = {2013}
}

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TY  - JOUR
T1  - Research on the Construction of Supply Chain Network Based on Fixed Spread Risk
AU  - Lei Wen
AU  - Yachao Shi
AU  - Mingfang Guo
Y1  - 2013/11/10
PY  - 2013
N1  - https://doi.org/10.11648/j.sjams.20130105.13
DO  - 10.11648/j.sjams.20130105.13
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 50
EP  - 53
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20130105.13
AB  - Supply chain is an integrated network where suppliers, sellers and customers are highly interconnected through business activities. The basic character of supply chain is complexity, dynamic and growth. In this paper, based on the complex network theory, we build a supply chain network model based on gradual risk. The dynamic growth mechanism of the supply chain network is based on the local world evolving model. The new node adds the local world entering with a certain probability. Combined with supply chain, the node, the edge and the weighted and the network are being redefined. The process of how new added node assign risk to old nodes is also introduced
VL  - 1
IS  - 5
ER  -

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Author Information

Lei Wen

Department of Economics and Management, North China Electric Power University, Baoding 071003, China
Yachao Shi

Department of Economics and Management, North China Electric Power University, Baoding 071003, China
Mingfang Guo

Department of Economics and Management, North China Electric Power University, Baoding 071003, China

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APA Style

Lei Wen, Yachao Shi, Mingfang Guo. (2013). Research on the Construction of Supply Chain Network Based on Fixed Spread Risk. Science Journal of Applied Mathematics and Statistics, 1(5), 50-53. https://doi.org/10.11648/j.sjams.20130105.13

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ACS Style

Lei Wen; Yachao Shi; Mingfang Guo. Research on the Construction of Supply Chain Network Based on Fixed Spread Risk. Sci. J. Appl. Math. Stat. 2013, 1(5), 50-53. doi: 10.11648/j.sjams.20130105.13

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AMA Style

Lei Wen, Yachao Shi, Mingfang Guo. Research on the Construction of Supply Chain Network Based on Fixed Spread Risk. Sci J Appl Math Stat. 2013;1(5):50-53. doi: 10.11648/j.sjams.20130105.13

Copy | Download

@article{10.11648/j.sjams.20130105.13,
  author = {Lei Wen and Yachao Shi and Mingfang Guo},
  title = {Research on the Construction of Supply Chain Network Based on Fixed Spread Risk},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {1},
  number = {5},
  pages = {50-53},
  doi = {10.11648/j.sjams.20130105.13},
  url = {https://doi.org/10.11648/j.sjams.20130105.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20130105.13},
  abstract = {Supply chain is an integrated network where suppliers, sellers and customers are highly interconnected through business activities. The basic character of supply chain is complexity, dynamic and growth. In this paper, based on the complex network theory, we build a supply chain network model based on gradual risk. The dynamic growth mechanism of the supply chain network is based on the local world evolving model. The new node adds the local world entering with a certain probability. Combined with supply chain, the node, the edge and the weighted and the network are being redefined. The process of how new added node assign risk to old nodes is also introduced},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Research on the Construction of Supply Chain Network Based on Fixed Spread Risk
AU  - Lei Wen
AU  - Yachao Shi
AU  - Mingfang Guo
Y1  - 2013/11/10
PY  - 2013
N1  - https://doi.org/10.11648/j.sjams.20130105.13
DO  - 10.11648/j.sjams.20130105.13
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 50
EP  - 53
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20130105.13
AB  - Supply chain is an integrated network where suppliers, sellers and customers are highly interconnected through business activities. The basic character of supply chain is complexity, dynamic and growth. In this paper, based on the complex network theory, we build a supply chain network model based on gradual risk. The dynamic growth mechanism of the supply chain network is based on the local world evolving model. The new node adds the local world entering with a certain probability. Combined with supply chain, the node, the edge and the weighted and the network are being redefined. The process of how new added node assign risk to old nodes is also introduced
VL  - 1
IS  - 5
ER  -

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