Liverpool Logistics, Offshore and Marine Research Institute, School of Engineering, Technology and Maritime Operations, Liverpool John Moores University, Liverpool, UK.
J Hazard Mater. 2011 Aug 30;192(2):465-75. doi: 10.1016/j.jhazmat.2011.05.035. Epub 2011 May 18.
Ports and offshore terminals are critical infrastructure resources and play key roles in the transportation of goods and people. With more than 80 percent of international trade by volume being carried out by sea, ports and offshore terminals are vital for seaborne trade and international commerce. Furthermore in today's uncertain and complex environment there is a need to analyse the participated risk factors in order to prioritise protective measures in these critically logistics infrastructures. As a result of this study is carried out to support the risk assessment phase of the proposed Risk Management (RM) framework used for the purpose of sea ports and offshore terminals operations and management (PTOM). This has been fulfilled by integration of a generic bow-tie based risk analysis framework into the risk assessment phase as a backbone of the phase. For this reason Fault Tree Analysis (FTA) and Event Tree Analysis (ETA) are used to analyse the risk factors associated within the PTOM. This process will eventually help the port professionals and port risk managers to investigate the identified risk factors more in detail. In order to deal with vagueness of the data Fuzzy Set Theory (FST) and possibility approach are used to overcome the disadvantages of the conventional probability based approaches.
港口和近海码头是关键的基础设施资源，在货物和人员运输方面发挥着关键作用。由于超过 80%的国际贸易量是通过海路运输的，因此港口和近海码头对于海上贸易和国际贸易至关重要。此外，在当今不确定和复杂的环境下，需要分析参与的风险因素，以便在这些关键物流基础设施中优先采取保护措施。因此，本研究旨在支持拟议的风险管理 (RM) 框架的风险评估阶段，该框架用于海上港口和近海码头的运营和管理 (PTOM)。这是通过将基于通用蝴蝶结的风险分析框架集成到风险评估阶段作为该阶段的骨干来实现的。为此，故障树分析 (FTA) 和事件树分析 (ETA) 用于分析与 PTOM 相关的风险因素。这一过程最终将帮助港口专业人员和港口风险管理人员更详细地研究已确定的风险因素。为了处理数据的模糊性，使用模糊集理论 (FST) 和可能性方法来克服传统基于概率方法的缺点。
