A risk-based modelling approach to enhance shipping accident investigation

Safety Science

Volumn 48, Issue 1, 2010, Pages 18-27

  Celik, Metin ^a   Lavasani, Seyed Miri ^b   Wang, Jin ^b  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

Fuzzy fault tree analysis; Human factor; ISM code; Maritime regulations; Shipping accident investigation

Indexed keywords

FUZZY FAULT TREE ANALYSIS; HUMAN FACTOR; ISM CODE; MARITIME REGULATIONS; SHIPPING ACCIDENT INVESTIGATION;

ACCIDENT PREVENTION; ACCIDENTS; DECISION SUPPORT SYSTEMS; FAULT TREE ANALYSIS; HUMAN ENGINEERING; LAWS AND LEGISLATION; RISK ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; SHIPS; SYSTEMS ENGINEERING; WATERWAY TRANSPORTATION;

RELIABILITY;

ARTICLE; CONTAINER; DATA BASE; DECISION MAKING; HUMAN; METHODOLOGY; PRIORITY JOURNAL; RISK ASSESSMENT; SHIPPING; TRAFFIC ACCIDENT; TRAFFIC AND TRANSPORT; TRAFFIC SAFETY;

EID: 70349873425     PISSN: 09257535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ssci.2009.04.007     Document Type: Article

References (57)

1. Andrews J.D., and Moss T.R. Reliability and Risk Assessment. 2nd ed. (2002), ASME
2. Antão P., and Guedes Soares C. Causal factors in accidents of high-speed craft and conventional ocean-going vessels. Reliability Engineering and System Safety 93 9 (2008) 1292-1304
3. Anderson D.M. From accident report to design problems - a study of accidents on board ship. Ergonomics 26 1 (1983) 43-50
4. Busby J.S., and Chung P.W.H. In what ways are designers' and operators' reasonable-worlds assumptions not reasonable assumptions?. Trans IChemE 81 (2003) 114-120
5. Cai K.Y., Wen C., and Zhang M. Fuzzy states as a basis for a theory of fuzzy reliability in the possibility context. Fuzzy Sets and Systems 42 (1991) 17-32
6. Celik, M., Er, I.D., 2007. Identifying the potential roles of design-based failures on human errors in shipboard operations. In: 7th Navigational Symposium on Marine Navigation and Safety of Sea Transportation, 20-22 June, Gdynia, Poland, pp. 617-621.
7. Celik M. Managing the operational constraints in ship machinery design and installation: synthesis of design-based failures for improving structural quality of shipboard systems. Naval Engineers Journal 120 3 (2008) 67-76
8. Celik M. Designing of integrated quality and safety management system (IQSMS) for shipping operations. Safety Science 47 5 (2009) 569-577
9. Celik M., and Cebi S. Analytical HFACS for investigating human errors in shipping accidents. Accident Analysis and Prevention 41 1 (2009) 66-75
10. Chen L., Wang G.L., and Meng H.R. Fault tree analysis of an oil well pump. Acta Petroleum Sinica 16 (1995) 145-151
11. Chen S.J., and Hwang C.L. Fuzzy Multiple Attribute Decision Making. 1st ed. (1992), Springer-Verlag, Berlin Heidelberg, Germany
12. Cheng C.H., and Mon D.L. Fuzzy system reliability analysis by interval of confidence. Fuzzy Sets and Systems 56 (1993) 29-35
13. Darbra R.M., and Casal J. Historical analysis of accidents in seaport. Safety Science 42 (2004) 85-98
14. Ding H.Y., and Yu D.U. Estimation of failure probability of oil and gas transmission pipelines by fuzzy fault tree analysis. Journal of Loss Prevention in the Process Industries 18 (2005) 83-88
15. Er, Z., Celik, M., 2005. Definitions of human factor analysis for the maritime safety management process. In: IAMU 6th Annual General Assembly and Conference, Malmö, Sweden, pp. 235-243.
16. Furuta H., and Shiraishi N. Fuzzy importance in fault tree analysis. Fuzzy Sets and Systems 12 (1984) 205-213
17. Goulielmos A., and Tzannatos E. The man-machine interface and its impact on shipping safety. Disaster Prevention and Management 6 2 (1997) 107
18. Goulielmos A.M., and Giziakis C.B. Marine accident prevention: an evaluation of the ISM code by the fundamentals of the complexity theory. Disaster Prevention and Management 11 1 (2002) 18-32
19. Guimarees A.C., and Ebecken N. Fuzzy FTA: a fuzzy fault tree system for uncertainty analysis. Annals of Nuclear Energy 26 (1999) 523-532
20. Hansen H.L., Nielsen D., and Frydenberg M. Occupational accidents aboard merchant ships. Occupational and Environmental Medicine 59 2 (2002) 85-91
21. Henley J., and Kumamoto H. Reliability Engineering and Risk Assessment (1981), Prentice Hall, Englewood Clift, NJ
22. Hetherington C., Flin R., and Mearns K. Safety in shipping: the human element. Journal of Safety Research 37 4 (2006) 401-411
23. Hsu H.M., and Chen T.C. Aggregation of fuzzy opinion under group decision making. Fuzzy Sets and Systems 79 (1994) 279-285
24. Huang H.Z., Tong X., and Zuo M. Posbist fault tree analysis of coherent systems. Reliability Engineering and System Safety 84 (2004) 141-148
25. Huang D., Chen T., and Wang M.J. A fuzzy set approach for event tree analysis. Fuzzy Sets and Systems 118 (2001) 153-165
26. Liang G.S., and Wang M.J. Fuzzy fault-tree analysis using failure possibility. Microelectronics and Reliability 33 (1993) 583-597
27. Lin C.J., Jou Y.-T., Yang C.-W., Lin S.-B., Hsieh Y.-H., and Chen H.-J. A human-centered systems approach to ship facility design. Lecture Notes in Computer Science 4553 (2007) 639-648
28. Lin T.C., and Wang M.J. Hybrid fault tree analysis using fuzzy sets. Reliability Engineering and System Safety 58 (1998) 205-231
29. Lu C.-S., and Tsai C.-L. The effects of safety climate on vessel accidents in the container shipping context. Accident Analysis and Prevention 40 2 (2008) 594-601
30. MAIB, 2007. Report on the investigation of the machinery breakdown and subsequent fire onboard Maersk Doha in Chesapeake Bay. Marine Accident Investigation Branch, Report No. 15/2007.
31. McCarter P. STCW '95: implementation issues: what is the pass mark?. Marine Policy 23 1 (1999) 11-24
32. Miller G.A. The magical number seven plus or minus two: some limit on our capacity for processing information. The Psychological Review 63 (1956) 81-97
33. Misra K.B., and Weber G.G. Use of fuzzy set theory for level-I studies in probabilistic risk assessment. Fuzzy Sets and Systems 37 (1990) 139-160
34. Nicokis J.S., and Tsuda I. Chaotic dynamics of information processing: the magic number seven plus-minus two. Bulletin of Mathematical Biology 47 (1985) 343-365
35. O'Neil W.A. The human element in shipping. World Maritime University Journal of Maritime Affairs 2 2 (2003) 95-97
36. Onisawa T., and Nishiwaki Y. Fuzzy human reliability on the CHERNOBYL accident. Fuzzy Sets and Systems 28 (1988) 115-127
37. Onisawa T. An approach to human reliability in man-machine systems using error possibility. Fuzzy Sets and Systems 27 (1988) 87-103
38. Onisawa T. An application of fuzzy concepts to modelling of reliability analysis. Fuzzy Sets and Systems 37 (1990) 266-286
39. Onisawa T. Subjective analysis of system reliability and its analyzer. Fuzzy Sets and Systems 83 (1996) 249-269
40. Pan, N., Wang, H., 2007. Assessing failure of bridge construction using fuzzy fault tree analysis. In: 4th International Conference on Fuzzy System and Knowledge Discovery, vol. 1, pp. 96-100.
41. Pederson, K., Emblemsvag, J., Mistree, F., Allen, J., 2000. The validation square, validating methods. In: ASME Design Theory and Methodology Conference.
42. Ping, H., Zhang Hung, H., Zuo, M.J., 2007. Fault tree analysis based on fuzzy logic. In: Annual Reliability and Maintainability Symposium, pp. 77-82.
43. Roberts S.E., and Marlow P.B. Casualties in dry bulk shipping (1963-1996). Marine Policy 26 6 (2002) 437-450
44. Sawer J.P., and Rao S.S. Fault tree analysis of fuzzy mechanical systems. Microelectronic Reliability 34 (1994) 653-667
45. Shappell S., Detwiler C., Holcomb K., Hackworth C., Boquet A., and Wiegmann D.A. Human error and commercial aviation accidents: an analysis using the human factors analysis and classification system. Human Factors 49 2 (2007) 227-242
46. Singer D. A fuzzy set approach to fault tree and reliability analysis. Fuzzy Sets and Systems 34 (1990) 145-155
47. Saltelli A., Ratto M., Tarantola S., and Campolongo F. Sensitivity analysis for chemical models. Chemical Reviews 105 (2005) 2811-2828
48. Suresh P.V., Babar A.K., and Venkat Raj V. Uncertainty in fault tree analysis: a fuzzy approach. Fuzzy Sets and Systems 83 (1996) 135-141
49. Shu M.H., Cheng C.H., and Chang J.R. Using intuitionistic fuzzy fault-tree analysis on printed circuit board assembly. Microelectronics Reliability 46 (2006) 2139-2148
50. Tanaka H., Fan L.T., Lai F.S., and Toguchi K. Fault tree analysis by fuzzy probability. IEEE Transactions on Reliability 32 (1983) 453-457
51. Theodosiou G., and Sapidis N.S. Information models of layout constraints for product life-cycle management: a solid-modelling approach. Computer-Aided Design 36 6 (2004) 549-564
52. Toffoli A., Lefevre J.M., Bitner-Gregersen E., and Monbaliu J. Towards the identification of warning criteria: analysis of a ship accident database. Applied Ocean Research 27 6 (2005) 281-291
53. Wang G., Spencer J., and Chen Y. Assessment of a ship's performance in accidents. Marine Structures 15 4 (2002) 313-333
54. Wang J. Offshore safety case approach and formal safety assessment of ships. Journal of Safety Research 33 1 (2002) 81-115
55. Wang J., Pillay A., Kwon Y.S., Wall A.D., and Loughran C.G. An analysis of fishing vessel accidents. Accident Analysis and Prevention 37 6 (2005) 1019-1024
56. Wickens C.D. Engineering Psychology and Human Performance. 2nd ed. (1992), Harper Collins Publishers Inc., New York pp. 211
57. Zadeh L.A. Fuzzy sets. Information and Control 8 (1965) 338-353