Emre Akyuz

A hybrid risk-based approach for maritime applications: The case of ballast tank maintenance

ABSTRACT Risk assessment is vital for cost-effective ship management in maritime industry since numerous maritime activities pose potential hazards according to the human causalities. Therefore, safety practitioners attempt to offer proactive approaches to mitigate risk as much as possible. In this context, this article presents a hybrid risk-based approach for maritime industry by adopting Fuzzy Analytic Hierarchy Process (FAHP) with fuzzy VIKOR (FVIKOR) methods under Fine-Kinney approach. To illustrate the hybrid risk-based approach, ballast tank maintenance process is handled since there are various hazards causing fatalities, severe injuries, and illness during ballast tank maintenance procedure than any other type of shipboard work. An extensive risk analysis is performed to enhance environment safety and operational reliability in maritime industry. Besides its theoretical contribution, the outcomes of the paper contribute to improve overall safety level of ship by considering potential hazards in risk management.

A fuzzy failure mode and effects approach to analyse concentrated inspection campaigns on board ships

ABSTRACT Maritime actions against substandard operations of ships are a great deal of memorandum of understanding (MoUs) under regional basis agreements among port state control (PSC) organisations. Herein, concentrated inspection campaigns (CIC), performed by the different members of MoUs in certain periods, are a monitoring strategy to effectively control the core operational matters encountered in fire-safety systems, propulsion and auxiliary machinery system, lifesaving appliances, working conditions on board ships, etc. This paper proposes a quantified maritime safety analysis based on fuzzy failure mode and effects analysis (FMEA) to evaluate CIC database of MoUs in order to achieve advance creative solutions. Demonstration studies are performed on the special database on fire-safety system deficiencies. Since the fuzzy FMEA outcomes point out the risk prioritisation numbers and relevant control options, the paper attempts to transform CIC feedback into useful information in terms of enhancing the ship PSC inspection concept (e-PSC inspection). The paper theoretically contributes to safety analysis methods in literature while demonstration of e-PSC inspections offers an insight into maritime industry in safety improvement.

A practical application of human reliability assessment for operating procedures of the emergency fire pump at ship

ABSTRACT This paper aims to conduct a practical application for human reliability assessment during operating procedures of an emergency fire pump on-board ship. A systematic human error prediction is performed for designated tasks during operational procedures of the emergency fire pump since human error can be regarded as one of the major factors contributing accidents at sea. Hence, human reliability performance is evaluated to enhance fire safety management in operational level on-board ship. In the paper, marine-specific error producing conditions are adopted under fuzzy sets environment. To enhance consistency of research and minimise subjectivity during experts judgement stage, the paper is supported with a dominance factor which is used to adjust the impact level of experts judgments in the aggregation stage of the methodology. The outcomes of the paper provide valuable contributions to the safety managers and technical superintends to monitor fire safety management and crew reliability performance.

Maritime Environmental Disaster Management Using Intelligent Techniques

The maritime environmental disasters are generally caused by collision, grounding, stranding heavy weather, explosion or fire. These disasters can cause spillage of oil, bunker, dirty water or chemical harmful substances. It is well known that the most known environmental disaster in maritime having serious impacts on marine life is oil spill. Although several intelligence techniques like heuristic search algorithms, machine learning, and fuzzy approach have been employed in maritime sector with various purposes, in the literature, applications of intelligent techniques for the solution of the maritime environmental disaster problems are quite limited. In this study, an intelligent system which consists of model-base, database, environmental disaster management actions, ship operation management actions, user interface, environmental disaster modelling, and decision support unit has been proposed. The proposed system, called as Maritime Intelligent Environmental Disaster Management (MIEDM), is aimed at strengthening operating mechanism along with the mitigation, preparedness, response, and recovery phases to eliminate the potential impacts of maritime environmental disasters.