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Eradicating root causes of aviation maintenance errors: introducing the AMMP

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Abstract

This is the second of two papers in the area of aviation maintenance safety enhancement utilizing human error risk management in engineering systems methodology. The first focused on the retrospective analysis of human error in aircraft maintenance, where the impact of human reliability on aviation maintenance safety was investigated. The purpose was to explore the actual mechanisms of maintenance errors initialization and propagation, with the aim of identifying requisite characteristics for future solutions. This second part focuses on a prospective approach to proactive safety techniques that can be applied to the field. It builds on the findings from the previous work and introduces a proposed Aviation Maintenance Monitoring Process (AMMP); an integrated process that is to be collectively implemented by industry to proactively monitor existence of human error causal factors. These factors are typically pre-initiated during design practices, manufacturing processes, or at later stages due to organizational, individuals, or workplace conditions within maintenance, repair, and overhaul organizations (MRO). As a result, such causal factors can be gradually eliminated. This generic AMMP is based on user software built applying the fuzzy Analytic Network Process (fuzzy ANP) theory, with a database of a communal total of 870 assessment criteria designed within the software. The full process is validated practically in real world within industry.

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References

  • Amalberti R (2001) The paradoxes of almost totally safe transportation systems. Saf Sci 37:109–126

    Article  Google Scholar 

  • ATSB (1999) Proactively monitoring airlines safety performance: INDICATE, (Identifying Needed Defences in the Civil Aviation Transport Environment). Australian Transport Safety Bureau. Australia. Available at: http://www.atsb.gov.au/publications/1999/sir199906_002.aspx

  • Bainbridge L (1982) Ironies of automation. In: Rasmussen J, Duncan K, Neplat J (eds) New technology and human error. Wiley, New York

    Google Scholar 

  • Bozzano M, Villafiorita A (2011) Design and safety assessment of critical systems. CRC Press, Taylor and Francis Group, Boca Raton, FL, USA

    Google Scholar 

  • Burns CM (2006) Towards proactive monitoring in the petrochemical industry. Saf Sci 44:27–36

    Article  Google Scholar 

  • CAA (2003) Introduction to the safety health of maintenance engineering (SHoMe)Tool. CAA paper 2003/12. Safety Regulation Group. Civil Aviation Authority, UK

  • Cacciabue PC (2000) Human factors impact on risk analysis of complex systems. J Hazard Mater 71:101–116

    Article  Google Scholar 

  • Cacciabue PC (2004) Guide to applying human factors methods—human error and accident management in safety critical systems. Springer, London

    Book  Google Scholar 

  • Chang D-Y (1996) Theory and methodology: applications of the extent analysis method on fuzzy AHP. Eur J Oper Res 95:649–655

    Article  MATH  Google Scholar 

  • Chiara Leva M, Kay A, Cahill J, Losa G, Keating S, Serradas D, McDonald N (2009) Unique reporting form: flight crew auditing of everyday performance in an airline safety management system. Lect Notes Comput Sci 5618:806–815

    Article  Google Scholar 

  • Cox E (1999) The fuzzy systems handbook, 2nd edn. Academic Press, San Diego, CA

    Google Scholar 

  • Dagdeviren M, Yuksel I, Kurt M (2008) A fuzzy analytical network process (ANP) model to identify faulty behaviour risk (FBR) in work system. Saf Sci 46:771–783

    Article  Google Scholar 

  • Deng H (1999) Multi-criteria analysis with fuzzy pair-wise comparison. Int J Approx Reason 21:215–231

    Article  Google Scholar 

  • Dos Santos IJAL, Teixeira DV, Ferraz FT, Carvalho PVR (2008) The use of a simulator to include human factors issues in the interface design of a nuclear power plant control room. J Loss Prev Process Ind 21(3):227–238

    Article  Google Scholar 

  • Edwards E (1972) Man and machine: systems for safety. In: Proceedings of the British airline pilots association technical symposium. British Airline Pilots Association, London, p 21–36

  • Fadier E, De la Garza C (2006) Safety design: towards a new philosophy. Saf Sci 44(1):55–73

    Article  Google Scholar 

  • Grabowski et al (2007) Leading indicators of safety in virtual organizations. Saf Sci 45:1013–1043

    Article  Google Scholar 

  • Hale A, Kirwan B, Kjellén U (2007) Safe by design: where are we now? Saf Sci 45:305–327

    Article  Google Scholar 

  • Hawkins FH (1987) Human factors in flight. Gower, Aldershot

    Google Scholar 

  • Helmreich R (1998) Error management as organisational strategy. In: Proceedings of the IATA human factors seminar. Bangkok, Thailand, April 20–22, 1998, pp 1–7

  • Hobbs A (2008) An overview of human factors in aviation maintenance. Report No. AR-2008-055. Australian Transport Safety Bureau. Australia

  • Hollnagel E (2007) Risk+Barriers=Safety? Saf Sci 46:119–221

    Google Scholar 

  • Hollywell PD (1996) Incorporating human dependent failures in risk assessments to improve estimates of actual risk. Saf Sci 22(1–3):177–194

    Article  Google Scholar 

  • Hopkins A (2007) Thinking about process safety indicators. Working Paper 53. The Oil and Gas Industry Conference. Manchester, November 2007. The National Research Centre for Occupational Health and Safety Regulation. Australian National University

  • IATA (2008) IATA Annual Safety Report-2007. Report by the International Air Transport Association (IATA). Published on 8/5/2008. Accessible at: http://www.iata.org/ps/publications

  • ICAO (2009) International civil aviation organization. Safety management manual (SMM), 2nd edn. Document 9859 AN/474

  • IHST (2011) International helicopter Safety Team website accessible at: http://www.ihst.org/Default.aspx?tabid=2895&language=en-US. Accessed on 10 Aug 2011

  • Joe LC, Yenn T-C, Yang C-W (2010) Optimizing human–system interface automation design based on a skill-rule-knowledge framework

  • Kahraman C, Ertay T, Buyukozkan G (2006) A fuzzy optimization model for QFD planning process using analytic network approach. Eur J Oper Res 171:390–411

    Article  MATH  Google Scholar 

  • Kaufmann A, Gupta MM (1985) Introduction to fuzzy arithmetic theory and application. Electrical/computer science and engineering series. Van Nostrand Reinhold Company, New York

    Google Scholar 

  • Kaufmann A, Gupta MM (1988) Fuzzy mathematical models in engineering and management science. Electrical/computer science and engineering series. Elsevier science publishers B.V. North-Holland. Nucl Eng Des 240(7):1897–1905

    Google Scholar 

  • Kim J, Park J, Jung W, Kim J-T (2009) Characteristics of test and maintenance human errors leading to unplanned reactor trips in nuclear power plants. Nucl Eng Des 239:2530–2536

    Article  Google Scholar 

  • Kinnersley S, Roelen A (2007) The contribution of design to accidents. Saf Sci 45:31–60

    Article  Google Scholar 

  • Kontogiannis T, Malakis S (2009) A proactive approach to human error detection and identification in aviation and air traffic control. Saf Sci 47(5):693–706

    Article  Google Scholar 

  • Korvers PMW, Sonnemans PJM (2008) Accidents: a discrepancy between indicators and facts. Saf Sci 46:1067–1077

    Article  Google Scholar 

  • Leveson NG (2009) The need for new paradigms in safety engineering. In: Dale C, Anderson T (eds) Safety-critical systems: problems, process and practice. Proceedings of the seventeenth safety-critical systems symposium, 3–5 Feb 2009, Brighton, UK

  • Liang G-F, Lin J-T, Hwang S-L, Wang EM-Y, Patterson P (2010) Preventing human errors in aviation maintenance using an on-line maintenance assistance platform. Int J Ind Ergon 40:356–367

    Article  Google Scholar 

  • Liou JJH, Tzeng G-H, Chang H-C (2007) Airline safety measurement using a hybrid model. J Air Transp Manage 13:243–249

    Article  Google Scholar 

  • Marx DA, Graeber RC (1994) Human error in aircraft maintenance. In: Johnston N, McDonald N, Fuller R (eds) Aviation psychology in practice. Ashgate, Aldershot, pp 87–104

    Google Scholar 

  • Mearns K (2009) From reactive to proactive- Can LPIs deliver? Saf Sci 47:491–492

    Article  Google Scholar 

  • Melnik R (2009) Coupling control and human factors in mathematical models of complex systems. Eng Appl Artif Intell 22:351–362

    Article  Google Scholar 

  • Norman DA (1983) Design rules based on analyses of human error. Commun Assoc Comput Mach (ACM) 26(4):254–258

    MathSciNet  Google Scholar 

  • Patankar MS, Taylor JC (2004) Risk management and error reduction in aviation. Ashgate, Aldershot

    Google Scholar 

  • Rashid HS, Place CS, Braithwaite GR (2009) A proposal of an aviation safety monitoring process. In: Bris R et al. (eds). Reliability, risk and safety: theory and application. Volume 1. Proceedings of the European safety and reliability conference, ESREL09, Prague, Czech Republic, 7–10 Sep 2009. CRC Press, Taylor and Francis Group, London, UK. pp 245–252

  • Rashid HS, Place CS, Braithwaite GR (2010) Helicopter maintenance error analysis: beyond the third order of the HFACS- ME. Int J Ind Ergon 40(6):636–647

    Article  Google Scholar 

  • Rashid HS, Place CS, Braithwaite GR (2011) Investigating the investigations: a retrospective study in the aviation maintenance error causation. Cognition, technology and work. Springer, London. doi:10.1007/s10111-011-0210-7

  • Reason J (1997) Managing the risks of organizational accidents. Ashgate Publishing Company, Aldershot

    Google Scholar 

  • Reiman T (2011) Understanding maintenance work in safety-critical organisations—managing the performance variability. Theor Issues Ergon Sci 12(4):339–366

    Article  Google Scholar 

  • Saaty TL (1996) Decision making with dependence and feedback: the analytic network process. RWS Publications, Pittsburgh

    Google Scholar 

  • Sauer J, Nickel P, Wastell D (2012) Designing automation for complex work environments under different levels of stress. Applied ergonomics (2012). Available on line at: http://dx.doi.org/10.1016/j.apergo.2012.05.008

  • Shyur H-J (2008) A quantitative model for aviation safety risk assessment. Comput Ind Eng 54:34–44

    Article  Google Scholar 

  • Swain AD, Guttmann HE (1983) Handbook of human reliability analysis with emphasis on nuclear power plant applications. Report no. NUREG/CR- 1278. Prepared by Sandia National Laboratories for U.S. nuclear regulatory commission. Available at: http://pbadupws.nrc.gov/docs/ML0712/ML071210299.html

  • Vanderhaegen F (2010) Human-error-based design of barriers and analysis of their uses. Cogn Technol Work 12(2):133–142

    Article  Google Scholar 

  • Ward M, McDonald N, Morrison R, Gaynor D, Nugent T (2010) A performance improvement case study in aircraft maintenance and its implications for hazard identification. Ergonomics 53(2):247–267

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy Sets. Inf Control 8:338–353

    Article  MATH  MathSciNet  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Air Transport, School of Engineering, Cranfield University, Bedfordshire, MK43 0AL, England, UK

    H. S. J. Rashid, C. S. Place & G. R. Braithwaite

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  1. H. S. J. Rashid
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  2. C. S. Place
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  3. G. R. Braithwaite
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Correspondence to H. S. J. Rashid.

Appendix

Appendix

See Table 6.

Table 6 Brief comparison of probability concept versus fuzzy logic
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Rashid, H.S.J., Place, C.S. & Braithwaite, G.R. Eradicating root causes of aviation maintenance errors: introducing the AMMP. Cogn Tech Work 16, 71–90 (2014). https://doi.org/10.1007/s10111-012-0245-4

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