Studies on emergency evacuation management for maritime transportation

Marine transportation is a vital component of the world’s economy and transportation network. The number of people using passenger ships around the globe is increasing worldwide. Similar to other transportation systems, passenger safety is critical in maritime shipment. As emergency evacuation processes for ships are highly different from and more complicated than those for buildings and other vehicles, many researchers have published a vast range of documents related to this peculiar research area. However, there is a tangible lack of sufficient literature review studies that investigate marine emergency evacuation (MEE). That being the case, the potential of marine transportation and the effect of emergency evacuation operation on life safety have inspired the proposal of this study. This paper offers a review of the available literature on MEE modelling, analysis and planning during the period from 1973 to 2017 using a systematic approach. After reviewing relevant academic journals, peer-reviewed conference papers, and technical reports of agencies, relevant literature is analysed. In addition, the literature review is extended by means of proposing a framework methodology which considers different possible conditions and situations during MEE. Finally, insights for ship managers and policymakers are discussed and potential future research directions are identified.     

A maritime safety on-board decision support system to enhance emergency evacuation on ferryboats

Planning emergency evacuation operations in a proactive manner in public marine transportation systems is a critical success factor for passenger and crew safety. Despite the fact that there is a growing attention on safety issues for marine transportation systems, providing a real-time decision support for evacuation planning under different emergency conditions has not yet been addressed. In this context, this paper contributes to the related literature by providing a comprehensive methodology including simulation and statistical analysis along with a three-module decision support system (DSS) for ferryboat emergency evacuation. Emergency evacuation and fire environment are simulated via Maritime EXODUS V5.1 and SMARTFIRE V4.3, respectively. The methodology is applied to a real-life Ro-Ro ferry, and the results not only revealed significant factors on emergency evacuation performance, but also demonstrated the validity of the developed decision support system.     

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.     

Influence of varying restoring moment curve on parametric roll motion of ships in regular longitudinal waves

This paper examines the influence of stability characteristics on roll motion in the main parametric resonance region. For this purpose, parametrically exited roll motion was modeled as a single degree of freedom system considering heave and pitch effects by means of time varying restoring moment. In addition, restoring moment variations in waves with respect to time and instantaneous roll angle was modeled analytically using the restoring moment curves for the wave crest and wave trough conditions. Roll responses were evaluated in frequency domain by solving the model with an averaging method. Notable correlation between the stability of roll responses and moment curves were observed. The results revealed that, the ratio of metacentric height (GM)between the wave trough and wave crest affects the stability of the trivial solution. Furthermore, the shape of the restoring moment curves in wave trough and wave crest conditions affects the stability of the non-trivial solution or, in other words, the pitchfork bifurcations.     

Simulation optimization of the berth allocation in a container terminal with flexible vessel priority management

ABSTRACT

Solving the berth allocation problem (BAP) in ports is not trivial where the berth resources are limited and various sizes of vessels arrive with dramatically dissimilar loads. Especially in real scenarios, arriving vessels are accepted for a berth with the first come first served (FCFS) priority rule. This study proposes a decision support system coupled with a simulation optimization module based on the swarm-based Artificial Bee Colony optimization algorithm for solving the BAP. The proposed methodology was implemented for the Izmir port in Turkey. To investigate the influences of the vessel priorities on the BAP, four different experimental scenarios based on the single (SQM) and multiple queue models (MQM) were coupled with FCFS and proposed hybrid queue priority (HQP) rule. The results indicated that SQM scenarios were superior to MQM scenarios in a manner of minimizing the average vessel waiting times and the implementation of a dynamic berth allocation strategy for the MQM significantly decreases the vessel waiting times. Results of the SQM also imply that utilization of the HQP approach further minimizes the average vessel waiting times and increases the berth utilization and port throughput without yielding excessive waiting times for the larger vessels compared with the FCFS priority rule.     

A decision-making solution to ship flagging out via administrative maritime strategies

The choice of flag is one of the main strategic/critical decisions for shipowners in the initial stage of maritime enterprises. On the other hand, flagging out has a great influence on the prestige and economic benefits for traditional maritime countries. To address this issue, this paper proposes a Multiple Criteria Decision Making (MCDM) approach using a Primarily Strategic Action Plan (PSAP) in a short-run period and a Secondary Strategic Action Plan (SSAP) for a long-term perspective. The case is demonstrated with respect to the flagging out issue in Turkish shipping fleet. It measures the decision-making tendencies of shipowners using Turkish National Shipping Registry (TNSR), Turkish International Shipping Registry (TISR), and Open Registries (ORs) as potential shipping registry alternatives. The model outcomes originally contribute to Turkish maritime policy, especially in terms of strengthening and reinforcing of TNSR procedures.     

Analytical modelling of shipping business processes based on MCDM methods

The need for analytical solutions towards various managerial processes in shipping business has been clearly seen in maritime society. To remedy this gap, the execution of relevant processes can be supported via multiple criteria decision-making (MCDM) techniques. This article applied an Integrated Decision Aid (IDEA) to overcome the model selection dilemma for process improvement in shipping business. The illustrative application of the IDEA makes invaluable contributions for the ongoing efforts of relevant executives on adopting modern management style in shipping business. Furthermore, the outcomes of this study encourage the maritime practitioners towards analytical modelling of managerial processes in shipping business cycle.     

Assessment of the maritime labour convention compliance using balanced scorecard and analytic hierarchy process approach

Maritime labour convention (MLC), adopted by International Labour Organization in 2006, is one of the latest contemporary issues in the maritime industry. Since the convention entered into force after August 2013, maritime administrations and ship management companies have great responsibilities to control and verify the socio-technical requirements within the shipboard environment. The convention principally organized along with several key considerations such as minimum requirements for seafarers to work on-board ships, conditions of employment, accommodation, recreational facilities, health protection, medical care, welfare and social security protection. At this insight, the compliance and enforcement matters are another concern to fulfil the requirements. This paper provides a model-based approach integrating balanced scorecard (BSC) with analytic hierarchy process (AHP) to evaluate compliance with the MLC requirements at the operational level. The research is expected to provide original contributions to monitor the MLC 2006 compliances level in ship fleet operation and management.     

A simulation model proposal to improve the productivity of container terminal operations through investment alternatives

Development of a container terminal (CT) closely deals with the efficiency of operating systems. This paper proposed a model to decide optimum investment alternatives to improve CT productivity. The proposed approach incorporates the parameters such as number of quay cranes, total length of a quay, yard trucks and yard cranes. The objectives of the model are minimizing the average ship turnaround time while maximizing the container throughput generated by the terminal. The methodology behind the model includes Discrete Event Simulation Model, data envelopment analysis (DEA) and cost-efficiency analysis. Considering container ship visits to Container Terminal Alpha (CT-A), the proposed model is demonstrated with 16 different investment scenario along with 10-months recorded operational data. The results addressed the Scenario LENG-2 (extent current total length of quays from 1.560 meters to 2.000 meters) as the optimal feasible solution for an investment in existing conditions. The model is also considered to besides contributions to investment decisions in CT, the developed framework might be extended to other transportation infrastructures.