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

Maritime Policy and Management

Volumn 43, Issue 7, 2016, Pages 887-908

  Akyuz, Emre ^a   Akgun, Ilker ^b   Celik, Metin ^c  

^a BURSA TECHNICAL UNIVERSITY   (Turkey)

^b MARMARA UNIVERSITY   (Turkey)

^c ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

fire safety system; maritime regulation; Maritime safety analysis; port state controls; risk assessment

Indexed keywords

FUZZY MATHEMATICS; MARITIME TRANSPORTATION; PORT OPERATION; REGULATORY FRAMEWORK; RISK ASSESSMENT; SHIPPING; TRANSPORTATION SAFETY;

EID: 84964522929     PISSN: 03088839     EISSN: 14645254     Source Type: Journal    
DOI: 10.1080/03088839.2016.1173737     Document Type: Article

References (48)

1. E.Akyuz, and M.Celik. 2014. “A Hybrid Decision-Making Approach to Measure Effectiveness of Safety Management System Implementations On-Board Ships.” Safety Science 68:169–179. doi:10.1016/j.ssci.2014.04.003.
2. J.B.Bowles, and C.E.Peláez. 1995. “Fuzzy Logic Prioritization of Failures in a System Failure Mode, Effects and Criticality Analysis.” Reliability Engineering & System Safety 50:203–213. doi:10.1016/0951-8320(95)00068-D.
3. BS MoU, 2013. Port state control in the Black Sea region, Annual Report, 2013. Black Sea Port State Control secretary at Istanbul, Turkey.
4. BS MoU. 2014. Press Release. 13 ships detained through propulsion and auxiliary machinery deficiencies. BS MoU Secretariat, January 2014.
5. P.Cariou, M.Q.J.Mejia, and F.-C.Wolff. 2007. “An Econometric Analysis of Deficiencies Noted in Port State Control Inspections.” Maritime Policy & Management 34 (3):243–258. doi:10.1080/03088830701343047.
6. P.Cariou, M.Q.J.Mejia, and F.-C.Wolff. 2008. “On the Effectiveness of Port State Control Inspections.” Transportation Research Part E:Logistics and Transportation Review 44:491–503. doi:10.1016/j.tre.2006.11.005.
7. P.Cariou, and F.-C.Wolff. 2011. “Do Port State Control Inspections Influence Flag-And Class-Hopping Phenomena in Shipping?” Journal of Transport Economics and Policy 45 (2):155–177.
8. M.Celik, and Y.I.Topcu. 2014. “A Decision-Making Solution to Ship Flagging Out via Administrative Maritime Strategies.” Maritime Policy & Management 41 (1):112–127. doi:10.1080/03088839.2013.780310.
9. K.-H.Chang, and C.-H.Cheng. 2011. “Evaluating the Risk of Failure Using the Fuzzy OWA and DEMATEL Method.” Journal of Intelligent Manufacturing 22:113–129. doi:10.1007/s10845-009-0266-x.
10. K.Cicek, and M.Celik. 2013. “Application of Failure Modes and Effects Analysis to Main Engine Crankcase Explosion Failure On-Board Ship.” Safety Science 51:6–10. doi:10.1016/j.ssci.2012.06.003.
11. L.Fan, M.Luo, and J.Yin. 2014. “Flag Choice and Port State Control Inspections - Empirical Evidence Using a Simultaneous Model.” Transport Policy 35:350–357. doi:10.1016/j.tranpol.2014.04.008.
12. D.Faturachman, and S.Mustafa. 2012. “Sea Transportation Accident Analysis in Indonesia.” In The 2012 International (Spring) Conference on Asia Pacific Business Innovation and Technology Management, 616–621. Pattaya, Thailand:Procedia - Social and Behavioral Sciences 40.
13. P.A.A.Garcia, R.Schirru, and P.F.F.Melo. 2005. “A Fuzzy Data Envelopment Analysis Approach for FMEA.” Progress in Nuclear Energy 46 (3–4):359–373. doi:10.1016/j.pnucene.2005.03.016.
14. A.C.F.Guimarães, C.M.F.Lapa, and M.D.L.Moreira. 2011. “Fuzzy Methodology Applied to Probabilistic Safety Assessment for Digital System in Nuclear Power Plants.” Nuclear Engineering and Design 241:3967–3976. doi:10.1016/j.nucengdes.2011.06.044.
15. M.Hänninen, and P.Kujala. 2014. “Bayesian Network Modeling of Port State Control Inspection Findings and Ship Accident Involvement.” Expert Systems with Applications 41:1632–1646. doi:10.1016/j.eswa.2013.08.060.
16. J.Hare, 1997. “Port State Control:Strong Medicine to Cure a Sick Industry.” Journal of International and Comparative Law 26 (3):571–594.
17. C.Heij, G.E.Bijwaard, and S.Knapp. 2011. “Ship Inspection Strategies:Effects on Maritime Safety and Environmental Protection.” Transportation Research Part D:Transport and Environment 16 (1):42–48. doi:10.1016/j.trd.2010.07.006.
18. S.Helvacioglu, and E.Ozen, 2014. “Fuzzy Based Failure Modes and Effect Analysis for Yacht System Design.” Ocean Engineering 79:131–141. doi:10.1016/j.oceaneng.2013.12.015.
19. IMO, 2011. Port state control.http://www.imo.org/
20. P.Jackson, 1998. Introduction to Expert Systems. 3rd ed. Boston, MA:Addison Wesley. ISBN 978-0-201-87686-4.
21. J.S.R.Jang, C.-T.Sun, and E.Mizutani. 1997. Neuro-Fuzzy and Soft Computing:A Computational Approach to Learning and Machine Intelligence. 1st ed. New Jersey:Prentice Hall.
22. H.Karahalios, Z.L.Yang, V.Williams, and J.Wang. 2011. “A Proposed System of Hierarchical Scorecards to Assess the Implementation of Maritime Regulations.” Safety Science 49 (3):450–462. doi:10.1016/j.ssci.2010.11.001.
23. G.Kiehne, 1996. “Investigation, Detention and Release of Ships under the Paris Memorandum of Understanding on Port State Control:A View from Practice.” TheInternational Journal of Marine and Coastal Law 11 (2):217–224. doi:10.1163/157180896X00087.
24. S.Knapp, and P.H.Franses. 2007a. “Econometric Analysis on the Effect of Port State Control Inspections on the Probability of Casualty - Can Targeting of Substandard Ships for Inspections Be Improved?” Marine Policy 31 (4):550–563. doi:10.1016/j.marpol.2006.11.004.
25. S.Knapp, and P.H.Franses. 2007b. “A Global View on Port State Control:Econometric Analysis of the Differences across Port State Control Regimes.” Maritime Policy & Management 34 (5):453–482. doi:10.1080/03088830701585217.
26. S.Knapp, and P.H.Franses. 2008. “Econometric Analysis to Differentiate Effects of Various Ship Safety Inspections.” Marine Policy 32 (4):653–662. doi:10.1016/j.marpol.2007.11.006.
27. A.C.Kutlu, and M.Ekmekçioğlu. 2012. “Fuzzy Failure Modes and Effects Analysis by Using Fuzzy TOPSIS-Based Fuzzy AHP.” Expert Systems with Applications 39:61–67. doi:10.1016/j.eswa.2011.06.044.
28. K.X.Li, and H.Zheng. 2008. “Enforcement of law by the Port State Control (PSC).” Maritime Policy & Management 35 (1):61–71. doi:10.1080/03088830701848912.
29. E.H.Mamdani,., and S.Assilian, 1975. “An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller.” International Journal of Man-Machine Studies 7:1–13.
30. A.Mullai, and U.Paulsson. 2011. “A Grounded Theory Model for Analysis of Marine Accidents.” Accident Analysis & Prevention 43 (4):1590–1603. doi:10.1016/j.aap.2011.03.022.
31. O.Ozcayir, 2001. Port State Control. London:LLP Professional Publishing.
32. E.D.Pam, K.X.Li, A.Wall, Z.Yang, and J.Wang. 2013. “A Subjective Approach for Ballast Water Risk Estimation.” Ocean Engineering 61:66–76. doi:10.1016/j.oceaneng.2012.12.045.
33. A.Pillay, and J.Wang. 2003. “Modified Failure Mode and Effects Analysis Using, Approximate Reasoning.” Reliability Engineering & System Safety 79:69–85. doi:10.1016/S0951-8320(02)00179-5.
34. H.N.Psaraftis, 2012. “Formal Safety Assessment:An Updated Review.” Journal of Marine Science and Technology 17:390–402. doi:10.1007/s00773-012-0175-0.
35. T.J.Ross, 1995. Fuzzy Logic with Engineering Applications. New York:McGraw-Hill.
36. S.N.Sivanandam, S.Sumathi, and S.N.Deepa. 2007. Introduction to Fuzzy Logic Using Matlab(Vol. 1). Berlin:Springer.
37. D.H.Stamatis, 2003. Failure Mode and Effect Analysis:FMEA from Theory to Execution. 2nd ed. Milwaukee, USA:American Society for Quality, Quality Press.
38. M.A.Titz, 1989. “Port State Control versus Marine Environmental Pollution.” Maritime Policy & Management:the Flagship Journal of International Shipping and Port Research 16 (3):189–211. doi:10.1080/03088838900000059.
39. M.Wall, H.R.Pugh, A.Reay, and J.Krol 2002. “Failure Modes, Reliability and Integrity of Floating Storage Unit (FPSO, FSU) Turret and Swivel Systems.” Offshore Technology Report, 2001/073. HSE Books.
40. J.Wang, and V.Trbojevic. 2007. Design for Safety of Marine and Offshore Systems. London:IMAREST Publications.
41. Y.-M.Wang, K.-S.Chin, G.K.K.Poon, and J.-B.Yang. 2009. “Risk Evaluation in Failure Mode and Effects Analysis Using Fuzzy Weighted Geometric Mean.” Expert Systems with Applications 36:1195–1207. doi:10.1016/j.eswa.2007.11.028.
42. J.Wu, L.Zhang, W.Liang, and J.Hu. 2013. “A Novel Failure Mode Analysis Model for Gathering System Based on Multilevel Flow Modeling and HAZOP.” Process Safety and Environmental Protection 91:54–60. doi:10.1016/j.psep.2012.02.002.
43. K.Xu, L.C.Tang, M.Xie, S.L.Ho, and M.L.Zhu. 2002. “Fuzzy Assessment of FMEA for Engine Systems.” Reliability Engineering & System Safety 75:17–29. doi:10.1016/S0951-8320(01)00101-6.
44. R.Xu, Q.Lu, W.Li, K.X.Li, and H.Zheng. 2007. “A Risk Assessment System for Improving Port State Control Inspection.” Proceedings of the 2007 International Conference on Machine Learning and Cybernetics, Hong Kong:818–823.
45. J.Yang, H.-Z.Huang, L.-P.He, S.-P.Zhu, and D.Wen. 2011. “Risk Evaluation in Failure Mode and Effects Analysis of Aircraft Turbine Rotor Blades Using Dempster–Shafer Evidence Theory under Uncertainty.” Engineering Failure Analysis 18:2084–2092. (L.A.). doi:10.1016/j.engfailanal.2011.06.014.
46. Z.L.Yang, J.Wang, and K.X.Li. 2013. “Maritime Safety Analysis in Retrospect.” Maritime Policy & Management 40 (3):261–277. doi:10.1080/03088839.2013.782952.
47. L.Zadeh, 1965. “Fuzzy Sets.” Information and Control 8 (3):338–353. doi:10.1016/S0019-9958(65)90241-X.
48. E.P.Zafiropoulos, and E.N.Dialynas. 2005. “Reliability Prediction and Failure Mode Effects and Criticality Analysis (FMECA) of Electronic Devices Using Fuzzy Logic.” International Journal of Quality & Reliability Management 22:183–200. doi:10.1108/02656710510577233.