title: Application of a generic bow-tie based risk analysis framework on risk management of sea ports and offshore terminals.
abstract: 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.
authors.affiliation: Liverpool Logistics, Offshore and Marine Research Institute, School of Engineering, Technology and Maritime Operations, Liverpool John Moores University, Liverpool, UK.
authors.forename: Kambiz
authors.initials: K
authors.lastname: Mokhtari
authors.forename: Jun
authors.initials: J
authors.lastname: Ren
authors.forename: Charles
authors.initials: C
authors.lastname: Roberts
authors.forename: Jin
authors.initials: J
authors.lastname: Wang
mesh_terms: D009792:Oceans and Seas; D018570:Risk Assessment; D012308:Risk Management; D012767:Ships; D014186:Transportation