Application of fuzzy logic to fault tree and event tree analysis of the risk for cargo liquefaction on board ship
Tóm tắt
Từ khóa
Tài liệu tham khảo
Akyuz, 2016, Quantitative human error assessment during abandon ship procedures in maritime transportation, Ocean. Eng., 120, 21, 10.1016/j.oceaneng.2016.05.017
Akyuz, 2015, Quantification of human error probability towards the gas inerting process on-board crude oil tankers, Safety. Sci., 77, 10.1016/j.ssci.2015.07.018
Akyuz, 2015, A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers, J. Loss. Prevent. Process. Ind., 38, 243, 10.1016/j.jlp.2015.10.006
Andrews, 2002
Castiglia, 2013, Analysis of operator human errors in hydrogen refuelling stations: Comparison between human rate assessment techniques, Int. J. Hydrogen. Energy., 38, 1166, 10.1016/j.ijhydene.2012.10.092
2009, Guidelines for developing quantitative safety risk criteria
Chen, 1992
Colak, 2014, Cargo liquefaction and dangers to ships
Corovic, 2013, Research of marine accidents through the prism of human factors, Promet. Traffic Transp., 25, 369
DNV-GL. (2015). Bulk cargo liquefaction. www.dnvgl.com.
EMSA. (2018). Annual overview of marine casualties and incidents. Portugal.
Goerlandt, 2015, A risk-informed ship collision alert system: framework and application, Safety. Sci., 77, 182, 10.1016/j.ssci.2015.03.015
Gul, 2016, A fuzzy multi criteria risk assessment based on decision matrix technique: A case study for aluminum industry, J. Loss Prevent. Process Ind., 89, 10.1016/j.jlp.2015.11.023
Hosseini, 2020, Cost-based fire risk assessment in natural gas industry by means of fuzzy FTA and ETA, J. Loss Prevent. Process Ind., 63, 10.1016/j.jlp.2019.104025
Hsu, 1994, Aggregation of fuzzy opinion under group decision making, Fuzzy. Set. Syst., 79, 279
2013
2002
Jonas, 2012, Liquefaction of mineral ores-IMSBC Code regulations and test methods, Bulletin, 107, 22
Ju, 2018, Numerical investigation of solid bulk cargo liquefaction, Ocean. Eng., 159, 333, 10.1016/j.oceaneng.2018.04.030
Khakzad, 2013, Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network, Process Saf. Environ. Protect., 91, 46, 10.1016/j.psep.2012.01.005
Kuzu, 2019, Application of Fuzzy Fault Tree Analysis (FFTA) to maritime industry: a risk analysing of ship mooring operation, Ocean Eng., 179, 128, 10.1016/j.oceaneng.2019.03.029
Lavasani, 2015, Utilisation of Fuzzy Fault Tree Analysis (FFTA) for quantified risk analysis of leakage in abandoned oil and natural-gas wells, Ocean. Eng., 108, 729, 10.1016/j.oceaneng.2015.09.008
Luo, 2019, Half-century research developments in maritime accidents: future directions, Accid. Anal. Prevent., 123, 448, 10.1016/j.aap.2016.04.010
Mokhtari, 2011, Application of a generic bow-tie based risk analysis framework on risk management of sea ports and offshore terminals, J. Hazardous Mater., 192, 465, 10.1016/j.jhazmat.2011.05.035
Montewka, 2014, A framework for risk assessment for maritime transportation systems -A case study for open sea collisions involving RoPax vessels, Reliab. Eng. Syst. Saf., 142, 10.1016/j.ress.2013.11.014
Munro, 2017, Bulk cargo liquefaction incidents during marine transportation and possible causes, Ocean. Eng., 141, 125, 10.1016/j.oceaneng.2017.06.010
Munro, 2016, Liquefaction incidents of mineral cargoes on board bulk carriers, Adv. Mater. Sci. Eng., 10.1155/2016/5219474
Onisawa, 1988, An approach to human reliability in man–machine systems using error possibility, Fuzzy. Sets. Syst., 87, 10.1016/0165-0114(88)90140-6
Pazouki, 2018, Investigation on the impact of human-automation interaction in maritime operations, Ocean Eng., 153, 297, 10.1016/j.oceaneng.2018.01.103
Pillay, 2003, Modified Failure Mode and Effects Analysis using approximate reasoning, Reliab. Eng. Syst. Saf., 79, 69, 10.1016/S0951-8320(02)00179-5
Rose, 2014
Sahin, 2017, Shipping technology selection for dynamic capability based on improved Gaussian fuzzy AHP model, Ocean. Eng., 136, 233, 10.1016/j.oceaneng.2017.03.032
Sahin, 2017, Consistency control and expert consistency prioritization for FFTA by using extent analysis method of trapezoidal FAHP, Appl. Soft Comput., 56, 46, 10.1016/j.asoc.2017.02.027
Senol, 2015, Fault tree analysis of chemical cargo contamination by using fuzzy approach, Expert Syst. Appl., 42, 5232, 10.1016/j.eswa.2015.02.027
Shahriar, 2012, Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis, J. Loss Prevent. Process Ind., 25, 505, 10.1016/j.jlp.2011.12.007
Swain, 1983
Weng, 2019, Investigation of occurrence likelihood of human errors in shipping operations, Ocean Eng., 182, 28, 10.1016/j.oceaneng.2019.04.083
Wu, 2018, Incorporating evidential reasoning and TOPSIS into group decision-making under uncertainty for handling ship without command, Ocean Eng., 164, 590, 10.1016/j.oceaneng.2018.06.054
Wu, 2019, Fuzzy logic based approach for ship-bridge collision alert system, Ocean Eng., 187, 10.1016/j.oceaneng.2019.106152
Vassalos, 2016, Numerical assessment of cargo liquefaction potential, Ocean Eng., 120, 383, 10.1016/j.oceaneng.2016.01.024
Visser, 1998, Developments in HSE management in oil and gas exploration and production
Zografakis, K. I. (2013). The problem of cargo liquefaction in the maritime industry (Bachelor's thesis).