scholarly journals Research on Evolutionary Mechanism of Agile Supply Chain Network via Complex Network Theory

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Nai-Ru Xu ◽  
Jia-Bao Liu ◽  
De-Xun Li ◽  
Jun Wang
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Network Theory ◽  
Clustering Coefficient ◽  
Supply Chain Network ◽  
Evolutionary Mechanism ◽  
Complex Network Theory ◽  
Scale Free ◽  
Agile Supply Chain ◽  
Network Research

The paper establishes the evolutionary mechanism model of agile supply chain network by means of complex network theory which can be used to describe the growth process of the agile supply chain network and analyze the complexity of the agile supply chain network. After introducing the process and the suitability of taking complex network theory into supply chain network research, the paper applies complex network theory into the agile supply chain network research, analyzes the complexity of agile supply chain network, presents the evolutionary mechanism of agile supply chain network based on complex network theory, and uses Matlab to simulate degree distribution, average path length, clustering coefficient, and node betweenness. Simulation results show that the evolution result displays the scale-free property. It lays the foundations of further research on agile supply chain network based on complex network theory.

scholarly journals Complex network theory, streamflow, and hydrometric monitoring system design

2015 ◽  
Vol 19 (7) ◽  
pp. 3301-3318 ◽  
Author(s):  
M. J. Halverson ◽  
S. W. Fleming
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Small World ◽  
Detection Algorithm ◽  
Clustering Coefficient ◽  
Network Stability ◽  
Meteorological Forcing ◽  
Complex Network Theory ◽  
Scale Free ◽  
Seasonal Flow

Abstract. Network theory is applied to an array of streamflow gauges located in the Coast Mountains of British Columbia (BC) and Yukon, Canada. The goal of the analysis is to assess whether insights from this branch of mathematical graph theory can be meaningfully applied to hydrometric data, and, more specifically, whether it may help guide decisions concerning stream gauge placement so that the full complexity of the regional hydrology is efficiently captured. The streamflow data, when represented as a complex network, have a global clustering coefficient and average shortest path length consistent with small-world networks, which are a class of stable and efficient networks common in nature, but the observed degree distribution did not clearly indicate a scale-free network. Stability helps ensure that the network is robust to the loss of nodes; in the context of a streamflow network, stability is interpreted as insensitivity to station removal at random. Community structure is also evident in the streamflow network. A network theoretic community detection algorithm identified separate communities, each of which appears to be defined by the combination of its median seasonal flow regime (pluvial, nival, hybrid, or glacial, which in this region in turn mainly reflects basin elevation) and geographic proximity to other communities (reflecting shared or different daily meteorological forcing). Furthermore, betweenness analyses suggest a handful of key stations which serve as bridges between communities and might be highly valued. We propose that an idealized sampling network should sample high-betweenness stations, small-membership communities which are by definition rare or undersampled relative to other communities, and index stations having large numbers of intracommunity links, while retaining some degree of redundancy to maintain network robustness.

scholarly journals Research on Evaluation on Agility of Agile Supply Chain Network Based on Complex Network Theory

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Nai-Ru Xu ◽  
Jia-Bao Liu
Keyword(s):  
Supply Chain ◽  
Network Structure ◽  
Network Theory ◽  
Network Centrality ◽  
Supply Chain Network ◽  
Complex Network Theory ◽  
Research On Evaluation ◽  
Agile Supply Chain ◽  
Structure Factors ◽  
Evaluation Matrix

The paper tries to add the network structure factors of agile supply chain network into agility evaluation. The paper firstly presents three concepts including node strength centrality, betweenness centrality, and network centrality. They are used to calculate the weight of node enterprises in the agile supply chain network. And then, a series of agility indicators are designed to evaluate agility of agile supply chain network. AHP is used to calculate the weight of the indicators. Next, these indicators are used to get initial agility evaluation matrix by means of Delphi method, Data Mining, and so forth. Then FCE is used to calculate the membership degree on agility of node enterprises by combining the evaluation matrix with the weight of indicators. Last, the evaluation result of comprehensive agility of agile supply chain network is calculated on the basis of considering the weight of node enterprises. This method can reflect the effect which the network structure of supply chain network makes on the agility of the supply chain network. It is a complement to the current evaluation methods of agility.

The Security Analysis of Supply Chain Network Based on the Complex Network

2010 ◽  
Vol 143-144 ◽  
pp. 1218-1222
Author(s):  
Pei Hua Fu ◽  
Yan Chu Liu
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Security Analysis ◽  
Supply Chain Network ◽  
Analysis Method ◽  
Supply Networks ◽  
Complex Network Theory ◽  
Scale Free ◽  
The One ◽  
Improve Supply Chain

Supply chain network is a complex giant system and its complexity determined by the structure of network. A new security analysis method of supply chain network is proposed in this paper , which concentrate on the topology structure security of networks based on complex network theory. According to the complexity of network topology and its kinetic characteristics, we found that the growth of supply networks with scale-free properties, which is robustness on the random attack, but fragile on the selected attack. This paper propose two options to improve supply chain network survivability, the one is to protect these core enterprises; the other is the formation of local alliance between enterprises.

Modeling and Simulation for Complex Network Based Military System-of-Systems (SoS)

2011 ◽  
Vol 145 ◽  
pp. 224-228 ◽  
Author(s):  
Xiao Song ◽  
Bing Cheng Liu ◽  
Guang Hong Gong
Keyword(s):  
Modeling And Simulation ◽  
Complex Network ◽  
Network Topology ◽  
Network Theory ◽  
Small World ◽  
System Of Systems ◽  
Statistical Parameters ◽  
Complex Network Theory ◽  
Scale Free ◽  
Topology Model

Military SoS increasingly shows its relation of complex network. According to complex network theory, we construct a SoS network topology model for network warfare simulation. Analyzing statistical parameters of the model, it is concluded that the topology model has small-world, high-aggregation and scale-free properties. Based on this model we mainly simulate and analyze vulnerability of the network. And this provides basis for analysis of the robustness and vulnerability of real battle SoS network.

Research on the Structure of Peer-to-Peer Overlay Based on the Complex Network Theory

2012 ◽  
Vol 263-266 ◽  
pp. 1096-1099
Author(s):  
Zhi Yong Jiang
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Degree Distribution ◽  
Path Length ◽  
Small World ◽  
Peer To Peer ◽  
Clustering Coefficient ◽  
Power Law Distribution ◽  
Complex Network Theory ◽  
The Mean

Relationship between nodes in peer-to-peer overlay, currently becomes a hot topic in the field of complex network. In this paper a model of peer-to-peer overlay was purposed. And then the paper focused on figuring out the mean-shortest path length (MSPL), clustering coefficient (CC) and the degree of every node which allowed us to discover the degree distribution. The results show that the degree distribution function follows approximately power law distribution and the network possesses notable clustering and small-world properties.

scholarly journals Assessing the Vulnerability of Logistics Service Supply Chain Based on Complex Network

2020 ◽  
Vol 12 (5) ◽  
pp. 1991 ◽  
Author(s):  
Fei Ma ◽  
Huifeng Xue ◽  
Kum Fai Yuen ◽  
Qipeng Sun ◽  
Shumei Zhao ◽  
...  
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Service Providers ◽  
Real Life ◽  
Clustering Coefficient ◽  
Important Indicator ◽  
Complex Network Theory ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Low Efficiency

The reliable operation of a logistics service supply chain (LSSC) is a key factor for improving logistics efficiency and service level, and vulnerability is an important indicator of reliable LSSC operation. Based on complex network theory, we reconstructed the running mechanism of logistics service providers, integrators, and demanders. We constructed an improved structure model of LSSC. By observing the selected three indicators (clustering coefficient, maximum connectivity, and network connectivity efficiency), the influence caused by the problem will continue to spread to more subjects along the network when a problem exists in one part of the network. The results showed that the destructive power of deliberate attacks is far greater than the damage caused by random attacks, and the disruption of logistics service integrators will considerably increase the vulnerability of the LSSC. However, even if logistics service integrators are removed completely, the LSSC still can operate at low efficiency. Through a case analysis, we identified the vulnerable nodes in logistics service, clarify the vulnerable mechanism in LSSC, and provide guidance for the operation of LSSC in real life.

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