Increasing ship operational reliability through the implementation of a holistic maintenance management strategy

Ships and Offshore Structures

Volumn 5, Issue 4, 2010, Pages 337-357

  Lazakis, Iraklis ^a   Turan, Osman ^a   Aksu, Seref ^b  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Availability; Criticality; Diesel generator system; Importance measures; Reliability; Ship maintenance

Indexed keywords

CRITICAL COMPONENT; CRITICALITY; CRITICALITY ANALYSIS; CRUISE SHIPS; DIESEL GENERATORS; IMPORTANCE MEASURE; MAINTENANCE MANAGEMENT; MAINTENANCE POLICY; MAINTENANCE TASKS; OPERATIONAL CAPABILITIES; OPERATIONAL RELIABILITY; PREDICTIVE MAINTENANCE; SHIP MAINTENANCE; SUB-SYSTEMS;

CRITICALITY (NUCLEAR FISSION); FAULT TREE ANALYSIS; MACHINERY; MAINTAINABILITY; QUALITY ASSURANCE; RELIABILITY; SHIPBUILDING; SHIPS;

MAINTENANCE OF WAY;

EID: 78651583001     PISSN: 17445302     EISSN: None     Source Type: Journal    
DOI: 10.1080/17445302.2010.480899     Document Type: Article

References (61)

1. Aksu Serap, Aksu Seref, Turan O. 2006. Reliability and availability of pod propulsion systems. Qual Reliab Eng Int. 22:41-58.
2. ATA. 1968. Maintenance evaluation and programme development: 737 maintenance steering group handbook (MSG 1). Washington (DC): ATA.
3. Bedford T,CookeR. 2001. Probabilistic risk analysis: Foundations and methods. Cambridge (UK): Cambridge University Press.
4. Beeson S, Andrews JD. 2003. Birnbaum's measure of component importance for non-coherent systems. IEEE Trans Reliab. 52(2):213-219.
5. Birnbaum ZW. 1969. On the importance of different components in a multi-component system. In: Krishnaiah P, editor. Multivariate analysis. New York (NY): Academic Press. p. 581-592.
6. BS. 1993. Glossary of terms used in terotechnology. BS 3811, London (UK): BS.
7. BSI/ISO. 2003. Condition monitoring and diagnostics of machines -General guidelines, BSI/ISO standard 17359. London (UK): BSI/ISO.
8. BSI. 2008a. PAS 55-1. Assetmanagement Part 1: Specification for the optimised management of physical assets, London (UK).
9. BSI. 2008b. PAS 55-2. Asset management Part 2: Guidelines for the application of PAS 55-1, London (UK).
10. BSI/ISO. 2009. Condition monitoring and diagnostic of machines -Requirements for qualification and assessment of personnel, BSI/ISO standard 18436, part 3, London (UK).
11. Cabos C, Jaramillo D, Stadie-Frohbos G, Renard P, Ventura M, Dumas B. 2008. Condition assessment scheme for ship hull maintenance. Proceedings of the 7th International Conference on Computer Applications and Information Technology in the Maritime Industries (COMPIT); 2008. Apr 21-23; Liege, Belgium, pp. 222-243.
12. Cepin M, Mavko B. 2002. A dynamic fault tree. Reliab Eng Syst Saf. 75:83-91.
13. ChandrothG. 2004. Condition monitoring: the case for integrating data from independent sources. J Mar Eng Technol. March (A4):9-16.
14. Conachey RM. 2005. Development of machinery survey requirements based on reliability-centered maintenance, SNAME Maritime Technology Conference & Expo. and Ship Production Symposium, Houston, Texas.
15. Courtney S. 2009. Condition based maintenance in the marine industry. Integrated monitoring solutions, Proceedings of the 3rd Condition Monitoring Conference; 2009. Apr. 28-29; London, UK.
16. Dai SH,Wang M. 1992. Reliability analysis in engineering applications. New York (NY): Van Nostrand Reinhold.
17. Dhillon BS. 1999. Design reliability: fundamentals and applications. Boca Raton (FL): CRC Press.
18. Espiritu JF, Coit DW, Prakash U. 2007. Component criticality importance measures for the power industry. Electr Power Syst Res. 77:407-420.
19. Fussell J. 1975. How to hand calculate system reliability characteristics. IEEE Trans Reliab. R-24:169-174.
20. Goyet J, Rouhan A, Faber MH. 2004. Industrial implementation of risk based inspection planning lessons and learnt from experience: (1) the case of FPSO's. Proceedings of the 23rd International Conference on Offshore Mechanics and Arctic Engineering; 2004. Jun 20-25; Vancouver, BC, Canada.
21. Guedes Soares C. 1998. Risk and reliability in marine technology. Rotterdam (The Netherlands).
22. A.A. Balkema. Hamada K, Fujimoto Y, Shintaku E. 2002. Ship inspection support system using a product model. J Mar Sci Technol. 6:205-215.
23. Hatzigrigoris S, Moustaka D, Dalmyras F. 2008. Key performance indicators in shipping operations -a drive for continual improvement. Proceedings of the 2nd International Symposium on Ship Operations, Management and Economics; 2008, Sep 17-18; Athens, Greece.
24. HSE. 2001. Best practice for risk based inspection as a part of plant integrity management. Contract research report 363, HSE Books, Sudbury, UK.
25. HSE. 2004. Risk based inspection (RBI) -A risk based approach to planned plant inspection, HSE Books, Sudbury, UK.
26. HSE. 2007. Key programme 3-asset integrity programme handbook. London (UK): Hazardous Installations Directorate, Offshore Division.
27. IACS. 2001. A guide to managing maintenance. IACS Rec. 74, London, UK.
28. IMO. 1993. International Safety Management (ISM) code. Resolution A.741, London, UK.
29. IMO. 2002. Guidelines for Formal Safety Assessment (FSA) for use in the IMO rule-making process. MSC/Circ 1023, London, UK.
30. ISO 14224. 2006. Petroleum, petrochemical natural gas industries -Collection and exchange of reliability and maintenance data for equipment. ISO Standard 14224.
31. Khan FI, Sadiq R, Haddara MM. 2004. Risk based inspection and maintenance (RBIM) -Multi-attribute decision-making with aggregative risk analysis. Inst Chem Eng, Trans Inst Chem Eng, Part B, Nov, Process Safety and Environ Prot. 82(B6):398-411.
32. Kumamoto H, Henley EJ. 1996. Probabilistic risk assessment for engineers and scientists. 2nd ed. New York (NY): IEEE Press.
33. Lazakis I, Turan O, Alkaner S, Olcer A. 2009. Effective ship maintenance strategy using a risk and criticality based approach. Proceedings of the 13th Congress of International Association of the Mediterranean (IMAM); 2009, Oct 12-15; Istanbul, Turkey, vol 3, pp. 1113-1120.
34. Ledet W. 2002. Making the move toward a learning organisation: a classic journey of change. Ledet Enterprises Inc. Available from: http://www.manufacturinggame.com/ [2009 Sep 22].
35. Melchers RE. 2005. The effect of corrosion on the structural reliability of steel offshore structures. Corros Sci. 47:2391-2410.
36. Mokashi AJ, Wang J, Vermar AK. 2002. A study of reliabilitycentred maintenance in maritime operations. Mar Policy 26:325-335.
37. Moubray J. 1997. Reliability-centered maintenance. 2nd ed. New York (NY): Industrial Press.
38. NTS. 2001. Criticality analysis formaintenance purposes. Norsok standard Z-008, Norwegian Technology Centre, rev. 2.
39. OREDA. 2002. Offshore reliability database handbook. 4th ed. Oslo (Norway): DNV.
40. Paik JK, Lee, JM, Hwang JS, Park YI. 2003. A time-dependent corrosion wastage model for the structures of single-and double-hull tankers and FSOs and FPSOs. Mar Technol. 40(3):201-217.
41. Paik JK, Melchers R. 2008. Condition assessment of aging structures. Cambridge (UK): Woodhead Publishing Ltd.
42. Pil CK, Rausand M, Vatn J. 2008. Reliability assessment of reliquefaction systems on LNG carriers. Reliab Eng Syst Saf. 93:1345-1353.
43. Pintelon LM, Gelders LF. 1992. Maintenance management decision making. Eur J Oper Res. 58:301-317.
44. Prioletti M, Tobin EM 2008. Automating the surface force tank and void assessment process. Nav Eng J. 120(2):53-60.
45. Rao KD, Gopika V, Rao VVSS, Kushwaha HS, Verma AK, Srividya A. 2009. Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment. Reliab Eng Syst Saf. 94:872-883.
46. RELEX reliability studio. Available from: http://www.relexsoftware.co.uk/products/ftaeta.htm [2009 Mar 4].
47. Repenning NP, Sterman JD. 2001. Nobody ever gets credit for fixing problems that never happened: creating and sustaining process involvement. Calif Manage Rev. 43(4):64-88.
48. Rodseth OJ, Steinbach C, Mo B. 2007. The use of technical condition indices in ship maintenance planning and the monitoring of the ship's safety condition. Proceedings of the International Symposium onMaritime, Safety, Security and Environmental Protection (SSE); 2007, Sep 20-21; Athens, Greece.
49. Tang Z, Dugan JB. 2004. Minimal cut set/sequence generation for dynamic fault trees. Proceedings of the Reliability and Maintainability Symposium; 2004, Jan;Washington, DC, pp. 207-213.
50. Thobem K-D, Homburg N, Gerriets A. 2008. MarLife -Development of a life cycle management system for the maritime industry. Proceedings of the Ship Repair Technology (SRT) Symposium; 2008, Sep 1-2; Newcastle-upon-Tyne, UK, pp. 98-105.
51. Tsai Y-T, Wang K-S, Tsai L-C. 2004. A study of availabilitycentered preventive maintenance for multi-component systems. Reliab Eng Syst Saf. 84:261-270.
52. Turan O, Olcer A, Martin PL. 2003. Risk assessment of loss of life for fishing vessels in fuzzy environment. Saf Reliab. 23(2):19-39.
53. Turan O, Ölçer A, Lazakis I, Rigo P, Caprace JD. 2009. Maintenance/ repair and production-oriented life cycle cost/earning model for ship structural optimisation during conceptual design stage. J Ships Offshore Struct. 4(2):107-125. DOI: 10.1080/17445300802564220.
54. UKOOA. 2003. FPSO inspection repair&maintenance. Study into best practice, Technical Report, United Kingdom Offshore Operators Association, May, London, UK.
55. US DoD. 1980. Procedures for performing a Failure Mode, Effects and Criticality Analysis.MIL-STD-1629A,Washington, DC.
56. US DoD. 1986. Reliability-centered maintenance. Requirements for naval aircraft, weapon systems and support equipment. MIL-STD 2173, Washington, DC.
57. Villemeur A. 1992. Reliability, availability, maintainability and safety assessment 2.Chichester (UK): JohnWiley&Sons Ltd.
58. Wang G, Pran K, SagvoldenG,HavsgardGD, Jensen AE, Johnson GA, Vohra ST. 2001. Ship hull structure monitoring using fibre optic sensors. Smart Mater Struct. 10:472-478.
59. Woodhouse J. 2006. Putting the total jigsaw puzzle together: PAS 55 standard for the integrated, optimized management of assets. Kingsclere, UK: The Woodhouse Partnership Ltd.
60. Yamamoto N, Koiwa T, Dobashi H, Muragishi O, Takaoka Y. 2007. A study of a fatigue management system for long LNG carriers using a new fatigue damage sensor. J Ships Offshore Struct. 2(2):361-370.
61. Zafiropoulos EP, Dialynas EN. 2005. Reliability prediction and failure mode effects and criticality analysis (FMECA) of electronic devices using fuzzy logic. Int J Qual Reliab Manage. 22(2):183-200.