MAritime RISk Assessment (MARISA), a fuzzy approach to define an individual ship risk factor

Balmat, Jean-François; Lafont, Frédéric; Maifret, Robert; Pessel, Nathalie

doi:10.1016/j.oceaneng.2009.07.003

Cited by 149 publications

(81 citation statements)

References 12 publications

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“…These factors are external factors. An individual ship risk factor was shown using a fuzzy approach (Balmat et al, 2009), and ship capacity, ship history, and ship parameters (flag, year of construction, gross tonnage, number of companies, and duration of detention) were considered in the statistical risk evaluation. Also, Balmat et al (2009) addressed the fact that weather conditions, such as wind speed, sea state, and visibility, were defined as a dynamic risk factor.…”

Section: Literature Reviewmentioning

confidence: 99%

“…An individual ship risk factor was shown using a fuzzy approach (Balmat et al, 2009), and ship capacity, ship history, and ship parameters (flag, year of construction, gross tonnage, number of companies, and duration of detention) were considered in the statistical risk evaluation. Also, Balmat et al (2009) addressed the fact that weather conditions, such as wind speed, sea state, and visibility, were defined as a dynamic risk factor. Sage (2005) proposed the criteria used to monitor High Risk Vessels (HRVs) in coastal waters, and the criteria related to the ships, namely dynamic factors, such as the weather, sea, or traffic conditions, and the environmental sensitivity of the sea areas in which the ships are sailing.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Port safety evaluation from a captain’s perspective: The Korean experience

Pak

Gi-Tae

et al. 2015

Safety Science

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There are many factors affecting navigational safety in ports, including weather, the characteristics of the channels and vessel types, etc. This paper aims to identify the factors influencing navigational safety in ports and to analyze the extent to which such factors affect the safety of ports from the perspective of ship captains through a real case study. A quantitative analysis is carried out using the data collected from 21 captains who have over 10 years experience in operating ships individually. The identified factors indicate risk implications in ports. A fuzzy analytical hierarchy process is used to evaluate the importance of the factors and to rank the safety levels of the targeted ports in Korea from a captain's perspective. Consequently, among Busan, Ulsan, Gwangyang, Incheon, and Mokpo, Busan is evaluated by captains as the safest port, while Mokpo is the most risky. The research also reveals that it is applicable to use domain expert knowledge when historical failure data is unavailable or difficult to access to evaluate port safety. The result shows great research significance in terms of providing relevant stakeholders, such as port authorities and shipping companies, with an insight into port safety performance and thus facilitating the development of the associated risk control measures.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Port safety evaluation from a captain’s perspective: The Korean experience

Pak

Gi-Tae

et al. 2015

Safety Science

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“…This KPI deals with (1) weather conditions, such as wind speed, sea state and visibility (Balmat et al, 2009) and (2) channel conditions including the perspectives of depth, complexity and width (Pak et al, 2015).…”

Section: Weather Sea and Channel Conditions (S3)mentioning

confidence: 99%

The evaluation and enhancement of quality, environmental protection and seaport safety by using FAHP

Tadić

Aleksić

Popović³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. The evaluation and enhancement of business processes in any organization in an uncertain environment presents one of the main requirements of ISO 9000:2008 and has a key effect on competitive advantage and long-term sustainability. The aim of this paper can be defined as the identification and discussion of some of the most important business processes of seaports and the performances of business processes and their key performance indicators (KPIs). The complexity and importance of the treated problem call for analytic methods rather than intuitive decisions. The existing decision variables of the considered problem are described by linguistic expressions which are modelled by triangular fuzzy numbers (TFNs). In this paper, the modified fuzzy extended analytic hierarchy process (FAHP) is proposed. The assessment of the relative importance of each pair of performances and their key performance indicators are stated as a fuzzy group decision-making problem. By using the modified fuzzy extended analytic hierarchy process, the fuzzy rank of business processes of a seaport is obtained. The model is tested through an illustrative example with real-life data, where the obtained data suggest measures which should enhance business strategy and improve key performance indicators. The future improvement is based on benchmark and knowledge sharing.

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“…The research on new approach in maritime risk assessment for safety at sea which was based on risk factor as a new development tool of decision that were equipped on VTIS or naval communication and information system (CIS) so the individual risk of particular ship could be monitored was conducted through fuzzy expert system [12]. An expert system is a tool that mimics the cognitive mechanisms of human expertise.…”

Section: The Overview Of Ahp Fis Ship Handling Modelmentioning

confidence: 99%

“…Meanwhile the FIS part construction is based on previous research [4]. Similar approach was performed to determine the rank of ship which will be inspected [12]. This approach has used dynamic risk factors and static risk factors for fuzzy risk evaluation.…”

Section: The Overview Of Ahp Fis Ship Handling Modelmentioning

confidence: 99%

Assessing Safety of Ferry Routes by Ship Handling Model through AHP and Fuzzy Approach

Priadi¹

2012

IIM

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Ferry accidents often occur the result of ship handling difficulty which interfacing human, machine and environment. Therefore, a decision tool model as a comprehensive information system, based on the ship handling difficulty, needs to be developed through the combination of Analytic Hierarchy Process (AHP) and Fuzzy Logic System. The Fuzzy Logic System part consists of ship condition, ship handling facility condition, navigation condition and weather condition. The output of decision tool is the ship handling difficulty level in linguistic form. The simulation of model is conducted at several straits in Indonesia water. The decision tool model could be used as management information system by port authority to monitor the ferry/ship movement in real time regarding the ship handling difficulty. Further, it would be used to take some useful safety operation strategies and safety policies to improve ferry transportation safety at port water and strait water.

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MAritime RISk Assessment (MARISA), a fuzzy approach to define an individual ship risk factor

Cited by 149 publications

References 12 publications

Port safety evaluation from a captain’s perspective: The Korean experience

Port safety evaluation from a captain’s perspective: The Korean experience

The evaluation and enhancement of quality, environmental protection and seaport safety by using FAHP

Assessing Safety of Ferry Routes by Ship Handling Model through AHP and Fuzzy Approach

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