Latent human error analysis and efficient improvement strategies by fuzzy TOPSIS in aviation maintenance tasks

Applied Ergonomics

Volumn 54, Issue , 2016, Pages 136-147

  Chiu, Ming Chuan ^a   Hsieh, Min Chih ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Aviation; Fuzzy set theory; Human error; MCDM; TOPSIS

Indexed keywords

AVIATION; ERROR ANALYSIS; FUZZY SET THEORY; MAINTENANCE;

AIRLINE MAINTENANCE; AVIATION MAINTENANCE; HUMAN ERROR ANALYSIS; HUMAN ERRORS; IMPROVEMENT STRATEGIES; MCDM; PHYSIOLOGICAL STATE; TOPSIS;

ERRORS;

AIRCRAFT; AVIATION; COORDINATION; ERROR; HUMAN; HUMAN EXPERIMENT; BIOENGINEERING; CHECKLIST; HOSPITAL SERVICE; ORGANIZATION AND MANAGEMENT; PROCEDURES; QUALITY CONTROL; ROOT CAUSE ANALYSIS; STANDARDS;

AIRCRAFT; CHECKLIST; EFFICIENCY, ORGANIZATIONAL; HUMAN ENGINEERING; HUMANS; MAINTENANCE; QUALITY CONTROL; ROOT CAUSE ANALYSIS;

EID: 84958060628     PISSN: 00036870     EISSN: 18729126     Source Type: Journal    
DOI: 10.1016/j.apergo.2015.11.017     Document Type: Article

References (48)

1. Aviation Safety Council Aviation Occurrence Report 2005, Rep. Num. ASC-AOR-05-02-001, Aviation Safety Council, Taiwan.
2. Bellman R.E., Zadeh L.A. Decision-making in a fuzzy environment. Manage. Sci. 1970, 17(4):141-164.
3. Ben-Daya M., Raouf A. A revised failure mode and effects analysis model. Int. J. Qual. Reliab 1993, 13(1):43-47.
4. Bai C., Dhavale D., Sarkis J. Integrating fuzzy C-means and TOPSIS for performance evaluation: an application and comparative analysis. Expert Syst. Appl. 2014, 41(9):4186-4196.
5. Chang Y.H., Yeh C.H. A survey analysis of service quality for domestic airlines. Eur. J. Oper. Res. 2002, 139:166-177.
6. Chang Y.H., Chung H.Y., Wang S.Y. A survey and optimization-based evaluation of development strategies for the air cargo industry. Int. J. Prod. Econ. 2007, 106:550-562.
7. Chen S.J., Hwang C.L. Fuzzy Multiple Attribute Decision-making Methods and Applications 1992, Springer-Verlag, New York.
8. Chen C.C., Chen J., Lin P.C. Identification of significant threats and errors affecting aviation safety in Taiwan using the analytical hierarchy process. J. Air Transp. Manag. 2009, 15:261-263.
9. Cacciabue P.C., Vella G. Human factors engineering in healthcare systems: the problem of human error and accident management. Int. J. Med. Inf. 2010, 79:e1-e17.
10. Drury C.G. Human Factors in Aircraft Maintenance 2000, 1-9. RTO EN-015.
11. Deviren M., Yavuz S., Kilinc N. Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Syst. Appl. 2009, 36:8143-8151.
12. Ding J.F. An integrated fuzzy TOPSIS method for ranking alternatives and its application. J. Mater. Process. Technol. 2011, 19(4):341-352.
13. Dhillon B.S. Human Reliability, Error, and Human Factors in Engineering Maintenance 2009, CRC Press.
14. Daramola A.Y. An investigation of air accidents in Nigeria using the human factors analysis and classification system (HFACS) framework. J. Air Transp. Manag. 2014, 35:39-54.
15. Embrey D.E. SHERPA: a systematic human error reduction and prediction approach. Paper Presented at the International Topical Meeting on Advances in Human Factors in Nuclear Power Systems 1986, Tennesse, Knoxville.
16. Gilchrist W. Modeling failure modes and effects analysis. Int. J. Qual. Reliab 1993, 10(5):16-23.
17. Hwang C.L., Yoon K. Multiple Attribute Decision-making Methods and Application 1981, Springer-Verlag, New York.
18. Hammer J. Human factors of functionality and intelligent avionics. Handbook of Human Factors in Aviation 1999, 549-565.
19. Hsieh M.C., Chiu M.C., Hwang S.L. An optimal range of information quantity on computer-based procedure interface design in the advanced main control room. J. Nucl. Sci. Technol. 2014, 52(5):687-694.
20. Kannan D., Jabbour A.B.L., Jabbour C.J. Selecting green suppliers based on GSCM practices: using fuzzy TOPSIS applied to a Brazilian electronics company. Eur. J. Oper. Res. 2014, 233:432-447.
21. Kelemenis A., Ergazakis K., Askounis D. Support managers' selection using an extension of fuzzy TOPSIS. Expert Syst. Appl. 2011, 38(3):2774-2782.
22. Kulak O., Durmusoglu B., Kahraman C. Fuzzy multi-attribute equipment selection based on information axiom. J. Mater. Process. Technol. 2005, 169:337-345.
23. Kim S.K., Lee Y.H., Jang T.I., Oh Y.J., Shin K.H. An investigation on unintended reactor trip events in terms of human error hazards of Korean nuclear power plants. Ann. Nucl. Energy 2014, 65:223-231.
24. Latorella K.A., Prabhu P.V. A review of human error in aviation maintenance and inspection. Int. J. Ind. Ergon. 2000, 26:133-161.
25. Li W.C., Harris D., Yu C.S. Routes to failure: analysis of 41 civil aviation accidents from the Republic of China using the human factors analysis and classification system. Accid. Anal. Prev. 2008, 40:426-434.
26. Modarre S.M. Reliability Engineering and Risk Analysis 2009, CRC Press.
27. McFadden K.L., Towell E.R. Aviation human factors: a framework for the new millennium. J. Air Transp. Manag. 1999, 5:177-184.
28. Norman D. The Psychology of Everyday Things 1988, Basic books, New York.
29. Noroozi A., Khan F., MacKinnon S., Amyotte P., Deacon T. Determination of human error probabilities in maintenance procedures of a pump. Process Saf. Environ. Prot. 2014, 92:131-141.
30. Ount S., Soner S. Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Manag. 2008, 28:1552-1559.
31. Rouyendegh B.D., Saputro T.E. Supplier selection using integrated fuzzy TOPSIS and MCGP: a case study. Procedia. Soc. Behav. Sci. 2014, 116:3957-3970.
32. Rankin W., Hibit R., Allen J., Sargent R. Development and evaluation of them errord aid (MEDA) process. Int. J. Ind. Ergon. 2000, 26:261-276.
33. Reason J. Human Error 1990, Cambridge University Press, Cambridge.
34. Reason J. Managing the Human and Organizational Response to Accidents 1997, Ashgate, Aldershot.
35. Rouse W.B., Rouse S.H. Analysis and classification of human error. IEEE Trans. Syst. Man. Cybern. 1983, 13(4):539-549.
36. Rooney J., Heuvel L.N.V. Root cause analysis for Beginners. Qual. Prog. Jul 2004, 37(7):45-53.
37. Swain A., Guttmann H. Handbook of Human Reliability Analysis with Emphasis on Nuclear Power Plant Applications: Final Report (NUREG/CR-1278) 1983, Nuclear Regulatory Commission, Washington DC.
38. Stanton N.A., Salmon P.M., Rafferly L.A., Walker G.H., Baber C., Jenkins D.P. Human Factors Methods: a Practical Guide for Engineering and Design 2005, Ashgate Pub, UK.
39. Shorrock S.T., Kirwan B. Development and application of a human error identification tool for air traffic control. Appl. Ergon. 2002, 33:319-336.
40. Torlak G., Sevkli M., Sanal M., Zaim S. Analyzing business competition by using fuzzy TOPSIS method: an example of Turkish domestic airline industry. Expert Syst. Appl. 2011, 38(4):3396-3406.
41. Williams J.C. A data-based method for assessing and reducing human error to improve operational performance. Proceeding of IEEE Fourth Conference on Human Factors and Power Plants 1988, Monterey, C.A, 6-June.
42. Wenner C.A., Drury C.G. Analyzing human error in aircraft ground damage incidents. Int. J. Ind. Ergon. 2000, 26:177-199.
43. Wiegmann D.A., Shappell S.A. Applying the human factors analysis and classification system to the analysis of commercial aviation accident data. Proceedings of 11th International Symposium on Aviation Psychology 2001, Ohio State University, Columbus, OH.
44. Wiegmann D.A., Shappell S.A. A Human Error Approach to Aviation Accident Analysis: the Human Factors Analysis and Classification System 2003, Ashgate, Aldershot, UK.
45. Wickens C.D., Hollands J.G. Engineering Psychology and Human Performance 2002, Prentice Education Taiwan Ltd Press.
46. Wu T.M., Hwang S.L. Maintenance error reduction strategies in nuclear power plants using root cause analysis. Appl. Ergon. 1989, 20(2):115-121.
47. Wiegmann D.A., Shappell S.A. Human error analysis of commercial aviation accidents: application of the human factors analysis and classification system (HFACS), aviation, space, and environ. Medicine 2001, 72:1006-1016.
48. Yu C.S. A GP-AHP method for solving group decision-making fuzzy AHP problems. Comput. Oper. Res. 2002, 29:1969-2001.