Development of an Error Detection Instrument for Aircraft Maintenance

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This work focuses on the development of an Error Detection Instrument (EDI), applicable in aircraft maintenance operations. Thirteen aircraft maintenance tasks were identified and used to develop the EDI. The EDI was validated by four professionals presently employed in different aviation organizations within and outside Nigeria. The study data was collected via careful observations of two maintenance activities such as landing gear maintenance and engine oil servicing using two trained research assistants. Qualitative data analysis was conducted by comparing collected data against the approved procedures as well as maintenance manual and the result of the study revealed the occurrence of errors during inspection, cleaning/lubrication, training, troubleshooting and documentation tasks. The safety implications of the tracked errors were adequately discussed. It is recommended that the EDI should be incorporated into the maintenance document and quality control process of Approved Maintenance Organizations (AMOs).

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156-170

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November 2019

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© 2019 Trans Tech Publications Ltd. All Rights Reserved

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[1] S. Ganguly, Human error vs work place management in modern organizations. Int. J. Res. Mgt. & Tech., 1(2011) 1-5.

Google Scholar

[2] J.R.E. Saward, N.A. Stanton, Individual latent error detection and recovery in naval aircraft maintenance: introducing a proposal linking schema theory with a multi-process approach to human error research, Theo. Iss. Ergo. Sci., 16 (2015) 255-272.

DOI: 10.1080/1463922x.2014.969360

Google Scholar

[3] CAA Aircraft Maintenance Incident Analysis CAP 1367, Published by the Civil Aviation Authority, (2015). Retrieved from https://publicapps.caa.co.uk/docs/33/CAP%201367%20template%20w%20charts.pdf.

Google Scholar

[4] K. Latorella, P.V. Prabhu, (1997). A review of human error in aviation maintenance and inspection, Int. J. of Ind. Erg, 26 (2000) 133-161.

DOI: 10.1016/s0169-8141(99)00063-3

Google Scholar

[5] A. Hobbs, A. Williamson, Associations Between Errors and Contributing Factors in Aircraft Maintenance, Hum. Fac. 45 (2003) 186-201.

DOI: 10.1518/hfes.45.2.186.27244

Google Scholar

[6] R.C. Graeber, D.A. Marx, Reducing human error in aircraft maintenance operations, Proc. of the 46th Ann. Int. Air Saf. Sem., (1993) 147–160.

Google Scholar

[7] R. Baron, The challenges of an Error Reporting System, (2008). Retrieved from http://www.aviationpros.com.

Google Scholar

[8] GAIN, A road map to a just culture; Enhancing the safety environment, Glo. Avia. Inf. Net. (2004). Retrieved from https://flightsafety.org/files/just_culture.pdf.

Google Scholar

[9] ARL, A Synthesis of Safety Culture and Safety Climate Research, (2002) 1-22. https://www.nrc.gov/docs/ML1025/ML102500649.pdf.

Google Scholar

[10] FAA, BOEING- Maintenance Error Decision Aid (MEDA) User's Guide (2013). https://www.faa.gov/about/initiatives/maintenance_hf/library/documents/media/media/meda_users_guide_updated_09-25-13.pdf.

Google Scholar

[11] S. Nallusamy, A proposed model for lead time reduction during maintenance of public passenger transport vehicles, Int. J. Eng. Res. Afr. 23 (2016) 174-180.

DOI: 10.4028/www.scientific.net/jera.23.174

Google Scholar

[12] S. Nallusamy, K. Balakannan, P.S. Chakraborty, G. Majumdar, Reliability analysis of passenger transport vehicles in public sector undertaking, Int. J. App. Eng. Res, 10 (2015), 843-850.

Google Scholar

[13] Y. Donchin, D. Gopher, M. Olin, Y. Badihi, M. Biesky, C. L. Sprung, R. Pizov, S. Cotev A look into the nature and causes of human errors in the intensive care unit. Qual. Saf. Health Care, 12(2003) 143–148.

DOI: 10.1097/00003246-199502000-00015

Google Scholar

[14] K. W. Jan, L. Y. Patrick, A system of safety management practices and worker engagement for reducing and preventing accidents: An empirical and theoretical investigation. Acci. Anal. & Prev. J. 68 (2014) 117–130.

DOI: 10.1016/j.aap.2013.07.029

Google Scholar