Analysis of vulnerabilities in maritime supply chains
被引:74
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作者:
Liu, Honglu
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机构:
Beijing Tiaotong Univ, Beijing, Peoples R ChinaBeijing Tiaotong Univ, Beijing, Peoples R China
Liu, Honglu
[1
]
Tian, Zhihong
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机构:
Beijing Inst Graph Commun, Beijing, Peoples R China
Liverpool John Moores Univ, Offshore & Marine Res Inst, Liverpool Logist, Liverpool, Merseyside, EnglandBeijing Tiaotong Univ, Beijing, Peoples R China
Tian, Zhihong
[2
,3
]
Huang, Anqiang
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机构:
Beijing Tiaotong Univ, Beijing, Peoples R ChinaBeijing Tiaotong Univ, Beijing, Peoples R China
Huang, Anqiang
[1
]
Yang, Zaili
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机构:
Liverpool John Moores Univ, Offshore & Marine Res Inst, Liverpool Logist, Liverpool, Merseyside, EnglandBeijing Tiaotong Univ, Beijing, Peoples R China
Yang, Zaili
[3
]
机构:
[1] Beijing Tiaotong Univ, Beijing, Peoples R China
[2] Beijing Inst Graph Commun, Beijing, Peoples R China
[3] Liverpool John Moores Univ, Offshore & Marine Res Inst, Liverpool Logist, Liverpool, Merseyside, England
This paper aims to analyze the different concepts of "vulnerability" used in maritime supply chains, and to develop a novel framework with supporting models to identify and analyze the relevant vulnerabilities in the chains. A real case of the Maersk shipping line in its Asia-Europe route is studied to demonstrate the applicability of the proposed framework. We find that the investigated network has stronger robustness against random failures than that when facing deliberate attacks. Furthermore, to identify vulnerable nodes (i.e. ports) of the network, two different types of analysis are undertaken through a multi-centrality model and a robustness analysis model, respectively. Consequently, the vulnerabilities estimated through robustness analysis can ascertain those by the classical centrality methods when they appear on both analysis results. More importantly, the similarity between the two outcomes can help gain more confidence on the accuracy in terms of the identification of the vulnerabilities in the system, while the difference (if any) such as those identified by the robustness analysis but not by the centrality analysis (or vice versa) can trigger a further investigation to find the comprehensive vulnerable nodes against different threats/hazards. It will aid rational decision on design and operation of resilient and robust maritime supply chains. (C) 2017 Elsevier Ltd. All rights reserved.
机构:
State Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, EcuadorState Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, Ecuador
Enrique Reyes-Soriano, Franklin
Carlos Muyulema-Allaica, Juan
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State Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, Ecuador
Univ Cantabria, Dept Transport & Projects & Proc Technol, INGEPRO Res Grp, Santander 39005, SpainState Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, Ecuador
Carlos Muyulema-Allaica, Juan
Michelle Menendez-Zaruma, Christina
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State Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, EcuadorState Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, Ecuador
Michelle Menendez-Zaruma, Christina
Manuel Lucin-Borbor, Jorge
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机构:
State Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, EcuadorState Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, Ecuador
Manuel Lucin-Borbor, Jorge
Del Rocio Balon-Ramos, Isabel
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机构:
State Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, EcuadorState Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, Ecuador
Del Rocio Balon-Ramos, Isabel
Antonio Herrera-Brunett, Gerardo
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机构:
State Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, EcuadorState Univ Santa Elena Peninsula, Ind Engn Res & Innovat Ctr, La Libertad 240204, Ecuador
机构:
Hong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong, Peoples R China
Ekanayake, E. M. A. C.
Shen, Geoffrey
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机构:
Hong Kong Polytech Univ, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong, Peoples R China
Shen, Geoffrey
Kumaraswamy, Mohan
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机构:
Univ Hong Kong, Dept Civil Engn, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong, Peoples R China
Kumaraswamy, Mohan
Owusu, Emmanuel Kingsford
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机构:
Hong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong, Peoples R China
Owusu, Emmanuel Kingsford
Xue, Jin
论文数: 0引用数: 0
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机构:
Hong Kong Polytech Univ, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong, Peoples R China