Name
Abstract | ||
|---|---|---|
After the 9/11 terrorism attacks, the lock-out of the American West Ports in 2002 and the breakout of SARS disease in 2003
have further focused mind of both the public and industrialists to take effective and timely measures for assessing and controlling
the risks related to container supply chains (CSCs). However, due to the complexity of the risks in the chains, conventional
quantitative risk assessment (QRA) methods may not be capable of providing sufficient safety management information, as achieving
such a functionality requires enabling the possibility of conducting risk analysis in view of the challenges and uncertainties
posed by the unavailability and incompleteness of historical failure data. Combing the fuzzy set theory (FST) and an evidential
reasoning (ER) approach, the paper presents a subjective method to deal with the vulnerability-based risks, which are more
ubiquitous and uncertain than the traditional hazard-based ones in the chains. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/s11633-005-0085-2 | International Journal of Automation and Computing |
Keywords | DocType | Volume |
Container supply chains,vulnerability.,fuzzy sets,evidential reasoning,risk assessment,container supply chains | Journal | 2 |
Issue | ISSN | Citations |
1 | 1751-8520 | 3 |
PageRank | References | Authors |
0.48 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zai-Li Yang | 1 | 112 | 13.72 |
| Jin Wang | 2 | 317 | 13.43 |
| Steve Bonsall | 3 | 3 | 0.48 |
| Jian-Bo Yang | 4 | 3832 | 203.05 |
| Quan-Gen Fang | 5 | 20 | 2.98 |