Abstract
Maintenance is one of the core technical aspects on board ships, which is required for the ready availability, reliability, and efficiency of machinery equipment. As machinery systems are critical for merchant ships, inadequate maintenance operations lead to serious consequences, including total loss of the vessel. The most commonly used maintenance approach on board a ship is a planned maintenance schedule (PMS). Since a PMS is highly dependent on human effort, human reliability comes into force as an important issue. However, the latest maintenance approaches, such as maintenance 4.0, focus on reducing the human workload in maintenance operations. Therefore, this study investigates the potential benefits of maintenance 4.0 in proportion to the aspects of human reliability. It examines a diesel generator maintenance operation. The shipboard operation human reliability analysis approach is utilized to conduct an empirical human reliability analysis for classic PMS, and, additionally, scenario-based maintenance 4.0 environments. Human error probability (HEP) values are calculated separately and a detailed comparison is provided. As a consequence, the overall HEP is dramatically reduced through the use of maintenance 4.0 (from 6.78E−01 to 1.17E−01).
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ABS (2014) Maritime accidents and human performance: the statistical trail. ABS TECHNICAL PAPERS 2004, presented at MARTECH 2004, Singapore, September 22–24, 2004
Akyuz E (2015a) Quantification of human error probability towards the gas inerting process on-board crude oil tankers. Saf Sci 80:77–86
Akyuz E (2015b) A decision-making model proposal on human reliability analysis on-board ship. PhD thesis, Istanbul Technical University, Graduate School of Science Engineering and Technology. Istanbul, Turkey
Akyuz E (2016) Quantitative human error assessment during abandon ship procedures in maritime transportation. Ocean Eng 120:21–29
Akyuz E (2017) A marine accident analysing model to evaluate potential operational causes in cargo ships. Saf Sci 92:17–25
Akyuz E, Celik M (2015a) A methodological extension to human reliability analysis for cargo tank cleaning operation on board chemical tanker ships. Saf Sci 75:146–155
Akyuz E, Celik M (2015b) Application of CREAM human reliability model to cargo loading process of LPG tankers. J Loss Prev Process Ind 34:39–48
Akyuz E, Celik M, Cebi S (2016) A phase of comprehensive research to determine marine-specific EPC values in human error assessment and reduction technique. Saf Sci 87:63–75
Akyuz E, Celik E, Celik M (2018) A practical application of human reliability assessment for operating procedures of the emergency fire pump at ship. Ships Offshore Struct 13(2):208–216
Almond RG (1992) An extended example for testing graphical belief. Technical Report 6, Statistical Sciences Inc
Baidya R, Ghosh SK (2015) Model for a predictive maintenance system effectiveness using the analytical hierarchy process as analytical tool. IFAC-PapersOnLine 48(3):1463–1468
Bertolini M, Bevilacqua M, Cooper SE (2010) Fuzzy cognitive maps for human reliability analysis in production systems. Prod Eng Manag Under Fuzziness Stud Fuzziness Soft Comput 252:381–415
Bokrantz J, Skoogh A, Berlin C, Stahre J (2017) Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030. Int J Prod Econ 191:154–169
Calhoun J, Savoie C, Randolph-Gips M, Bozkurt I (2014) Human reliability analysis in spaceflight applications, Part 2: modified CREAM for spaceflight. Qual Reliab Eng Int 30(1):3–12
Campos J, Jantunen E, Prakash O (2009) A web and mobile device architecture for mobile e-maintenance. Int J Adv Manuf Technol 45(1–2):71
Caputo F, Greco A, D’Amato E, Notaro I, Spada S (2018) On the use of virtual reality for a human-centered workplace design. Procedia Struct Integr 8:297–308
Chalabia N, Dahaneb M, Beldjilalia B, Nekic A (2016) Optimisation of preventive maintenance grouping strategy for multi-component series systems: particle swarm based approach. Comput Ind Eng 102:440–451
Chang HH, Si XS, Yang JB (2010) System reliability prediction model based on evidential reasoning algorithm with nonlinear optimization. Expert Syst Appl 37:2550–2562
Chauvin C, Lardjane S, Morel G, Clostermann J-P, Langard B (2013) Human and organisational factors in maritime accidents: analysis of collisions at sea using the HFACS. Accid Anal Prev 59:26–37
Chiou SY, Chang SY (2018) An enhanced authentication scheme in mobile RFID system. Ad Hoc Netw 71:1–13
Cooper SE, Ramey-Smith AM, Wreathall J (1996) A technique for human error analysis (ATHEANA). Nureg/CR-6350, USNRC, 1996
Cullum J, Binns J, Lonsdale M, Abbassi R, Garaniya V (2018) Risk-based maintenance scheduling with application to naval vessels and ships. Ocean Eng 148:476–485
Detroit Corporation (1979) Service manual, Detroit diesel engines. Division of General Motors Corporation, Detroit, p 48228
Embrey DE, Humphreys PC, Rosa EA, Kirwan B, Rea K (1984) SLIM-MAUD: an approach to assessing human error probabilities using structured expert judgement. NUREG/CR-3518. US Nuclear Regulatory Commission, Washington DC
EMSA (2015) Annual overview of marine causalities and incident. European Maritime Safety Agency, Portugal
Gaonkar RSP, Xie M, Ng MM, Habibullah MS (2011) Subjective operational reliability assessment of maritime transportation system. Expert Syst Appl 38(11):13835–13846
Gertman D, Blackman H, Marble J, Byers J, Smith C (2005) The SPAR-H human reliability analysis method. NUREG/CR-6883. US Nuclear Regulatory Commission, Washington DC
Hausken K (2008) Strategic defense and attack for reliability systems. Reliab Eng Syst Saf 93:1740–1750
Hirotsu Y, Suzuki K, Kojima M, Takano K (2001) Multivariate analysis of human error incidents occurring at nuclear power plants: several occurrence patterns of observed human errors. Cogn Technol Work 3(2):82–91
Hollnagel E (1998) Cognitive reliability and error analysis method. Elsevier, Amsterdam
Islam R, Abbassi R, Garaniya V, Khan FI (2016) Determination of human error probabilities for the maintenance operations of marine engines. J Ship Prod Des 32:226–234
Islam R, Abbassi R, Garaniya V, Khan F (2017) Development of a human reliability assessment technique for the maintenance procedures of marine and offshore operations. J Loss Prev Process Ind 50:416–428
Jang I, Kim AR, Al Harbi MAS, Lee SJ, Kang HG, Seong PH (2013) An empirical study on the basic human error probabilities for NPP advanced main control room operation using soft control. Nucl Eng Des 257:79–87
Kandemir C, Celik M (2017) Determining shipboard integration requirements of maintenance 4.0 concept in marine engineering. In: 2nd world conference on technology, innovation and entrepreneurship, 12–14 May 2017, Istanbul, Turkey. ISBN:978-605-9811-01-9
Kandemir C, Celik M, Akyuz E, Aydin O (2019) Application of human reliability analysis to repair & maintenance operations on-board ships: the case of HFO purifier overhauling. Appl Ocean Res 88:317–325
Kirwan B, Gibson WH (2008). Human reliability assessment (CARA) development for EUROCONTROL Q07/22268NC
Liang GS, Wang MJJ (1993) Evaluating human reliability using fuzzy relation. Microelectron Reliab 33(1):63–80
Mahon LLJ (1992) Diesel generator handbook. Newnes, Lynton
Marquez FPG, Tobias AM, Perez JMP (2012) Condition monitoring of wind turbines: techniques and methods. Mayorkinas Papaelias Renew Energy 46:169–178
Martins MR, Matuna MC (2013) Application of Bayesian Belief networks to the human reliability analysis of an oil tanker operation focusing on collision accidents. Reliab Eng Syst Saf 110:89–109
Masoni R, Ferrise F, Bordegoni M, Gattullo M, Uva AE, Fiorentino M et al (2017) Supporting remote maintenance in industry 4.0 through augmented reality. Procedia Manuf 11:1296–1302
Musharraf M, Hassan J, Khan F, Veitch B, MacKinnon S, Imtiaz S (2013) Human reliability assessment during offshore emergency conditions. Saf Sci 59:19–27
Nazir S, Patel S, Patel D (2017) Assessing and augmenting SCADA cyber security: a survey of techniques. Comput Secur 70:436–454
Noroozi A, Khakzad N, Khan F, MacKinnon S, Abbassi R (2013) The role of human error in risk analysis: application to pre-and post-maintenance procedures of process facilities. Reliab Eng Syst Saf 119:251–258
Okaro IA, Tao L (2016) Reliability analysis and optimisation of subsea compression system facing operational covariate stresses. Reliab Eng Syst Saf 156:159–174
Pyy P (2000) An approach for assessing human decision reliability. Reliab Eng Syst Saf 68(1):17e28
Qin J, Liu Y, Grosvenor R (2016) A categorical framework of manufacturing for industry 4.0 and beyond. Procedia Cirp 52:173–178
Rangra S, Sallak M, Schön W, Vanderhaegen F (2017) A graphical model based on performance shaping factors for assessing human reliability. IEEE Trans Reliab 66(4):1120–1143
Rashid HSJ, Place CS, Braithwaite GR (2014) Eradicating root causes of aviation maintenance errors: introducing the AMMP. Cogn Technol Work 16(1):71–90
Raza A, Ulansky V (2017) Modelling of predictive maintenance for a periodically inspected system. Procedia CIRP 59:95–101
Restrepo LMR, Hennequin S, Aguezzoul A (2016) Optimization of integrated preventive maintenance based on infinitesimal perturbation analysis. Comput Ind Eng 98:470–482. https://doi.org/10.1016/j.cie.2016.06.019
Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill, New York
Saaty TL (1986) Axiomatic foundation of the analytic hierarchy process. Manage Sci 32:841–855
Saaty TL (1994) How to make a decision: the analytic hierarchy process. Interfaces 24(6):19–43
Sipsas K, Alexopoulos K, Xanthakis V, Chryssolouris G (2016) Collaborative maintenance in flow-line manufacturing environments: an Industry 4.0 approach. Procedia CIRP 55:236–241
Swain AD, Guttmann HE (1983) Handbook of human reliability analysis with emphasis on nuclear power plant applications. Nuclear Regulatory Commission, Washington DC
Taga H, Furuta K, Kanno T (2012) Human reliability analysis of car drivers in urban intersections. Cogn Technol Work 14(4):365–377
Turan O, Ölçer Aİ, 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. Ships Offshore Struct 4(2):107–125
Ugurlu O, Kose E, Yıldırım U, Yukselyıldız E (2015) Marine accident analysis for collision and grounding in oil tanker using FTA method. Marit Policy Manag 42(2):163–185
Uhlmann E, Laghmouchi A, Geisert C, Hohwieler E (2017) Decentralized data analytics for maintenance in industrie 4.0. Procedia Manuf 11:1120–1126
Ung ST (2015) A weighted CREAM model for maritime human reliability analysis. Saf Sci 72:144–152
Vanderhaegen F (2017) Towards increased systems resilience: new challenges based on dissonance control for human reliability in Cyber-Physical&Human Systems. Annu Rev Control 44:316–322
Wang K (2016) Intelligent predictive maintenance (IPdM) system–industry 4.0 scenario. WIT Trans Eng Sci 113:259–268
Weichai Power (2009) Operation & maintenance manual and service manual for WD615/WD10 series marine diesel engine. Revised in March 2009, 612600820178
Westerbeke Corporation (2017) Operators manual marine diesel generators. Publication no: 044800, Revision 6, February 2017
Williams JC (1988) A data-based method for assessing and reducing human error to improve operational performance. In: Proceedings of IEEE 4th conference on human factor and power plants. Monterey, California, pp 436–453
Woods DD, Dekker S, Cook R, Johannesen L, Sarter N (2017) Behind human error. CRC, Oxford
Woodyard D (2009) Pounder’s marine diesel engines and gas turbines. Butterworth-Heinemann, Oxford
Xi YT, Yang ZL, Fang QG, Chen WJ, Wang J (2017) A new hybrid approach to human error probability quantification–applications in maritime operations. Ocean Eng 138:45–54
Yang ZL, Bonsall S, Wall A, Wang J, Usman M (2013) A modified CREAM to human reliability quantification in marine engineering. Ocean Eng 58:293–303
Yanmar Corporation (2013) Operational manual, marine engines, 2nd edn. Yanmar Corporation, Osaka
Ye M, Li M, Duan M, Gao P, Fang X, Liu X et al (2015) Design and verification of the ship attitudes measuring and monitoring and analysis system. Ships Offshore Struct 10(2):107–121
Acknowledgements
This article is produced from initial stages of PhD thesis research entitled “A human reliability assessment to marine auxiliary machinery maintenance operations under ship PMS and maintenance 4.0 concepts”, which has been executed in a PhD Program in Maritime Transportation Engineering of the Istanbul Technical University Graduate School of Science, Engineering and Technology. The authors are also grateful to operation managers and the shipboard personnel of STATU Shipping Company for their support of field studies on board ships.
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Kandemir, C., Celik, M. A human reliability assessment of marine auxiliary machinery maintenance operations under ship PMS and maintenance 4.0 concepts. Cogn Tech Work 22, 473–487 (2020). https://doi.org/10.1007/s10111-019-00590-3
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DOI: https://doi.org/10.1007/s10111-019-00590-3