Title
Decision support framework for risk management on sea ports and terminals using fuzzy set theory and evidential reasoning approach
Abstract
As sea ports and terminals are valuable assets, in today's uncertain and complex environment further refinements are needed to assess risks and prioritise protective measures for these critical pieces of logistics infrastructure. The major problem that port professionals (e.g. port risk managers and port auditors) are facing is the lack of an appropriate methodology and evaluation techniques to support their risk management (RM) cycle. Therefore in response to the uncertainties and to provide continuous risk control assurance in port industry, this paper uses fuzzy set theory (FST) to describe and evaluate the associated risk factors within the ports and terminals operations and management (PTOM). An evidential reasoning (ER) approach is employed to synthesise the information produced. These processes constitute a decision support framework that will be used to conduct port-to-port risk evaluations or to assess a whole port's and terminal's overall risk level in order to facilitate continuous improvement strategies. The proposed framework along with a generic methodology and a risk evaluation model is tested by a case study. The case study analyses pieces of three Southern Iranian ports by using an illustrative operational risk hierarchy. The sensitivity analysis carried out in this paper prove pieces of the applicability of the proposed methodology and model for risk evaluation of the sea ports and terminals in real situations.
Year
DOI
Venue
2012
10.1016/j.eswa.2011.11.030
Expert Syst. Appl.
Keywords
Field
DocType
risk evaluation model,fuzzy set theory,risk management,evidential reasoning approach,port risk manager,sea port,associated risk factor,risk evaluation,illustrative operational risk hierarchy,decision support framework,overall risk level,continuous risk control assurance,port-to-port risk evaluation
Port (computer networking),Audit,Computer science,Decision support system,Operational risk,Operations research,Fuzzy set,Risk management,Hierarchy,Evidential reasoning approach
Journal
Volume
Issue
ISSN
39
5
0957-4174
Citations 
PageRank 
References 
11
0.68
17
Authors
4
Name
Order
Citations
PageRank
Kambiz Mokhtari1110.68
Jun Ren2161.79
Charles Roberts3110.68
Jin Wang431713.43