Preventing human error at an approved training organization using Dirty Dozen

Abstract

Following a recently-submitted review on a few human factor identification models (interpretations of Professor Edwards’ SHELL Model, Boeing’s Maintenance Error Decision Aid (MEDA), Professor Reason’s Swiss Cheese Model, and Dupont’s Dirty Dozen), researchers have unanimously agreed on choosing the Dirty Dozen model for this quantitative study before its official implementation in hangars and workshops at Universiti Kuala Lumpur – Malaysian Institute of Aviation Technology (UniKL MIAT). This study measures the levels of awareness and effectiveness of UniKL MIAT’s current human factor safety practices. A specifically-tailored, comprehensive, Dirty Dozen checklist is produced and distributed as survey questionnaire to 120 UniKL MIAT’s students. Data from all 48 questions related to all 12 domains of Dirty Dozen are analyzed. The results shows that out of all 12 domains, six (Lack of communication, Lack of teamwork, Norm, Pressure, Lack of attention, Stress) are marked with “Agreed” and the other half (Complacency, Lack of knowledge, Lack of resources, Distraction, Lack of authority, Exhaustion) are marked as “Not Sure” in terms of awareness and effectiveness of their current human factor’s safety practices. These results will be reviewed by the top management of the university to take preventive actions and improvements for future human factor safety implementations. As Dirty Dozen is known to be the simplest technique to measure human error, it is significantly appropriate to be applied as this experiment’s variable, especially for students who are still studying and have no industrial working experiences.

Practicality of Ad Hoc Online Assessments for Teaching ESP in Online Flipped Classrooms during COVID-19

“…More experimental action research [15] is needed to further evaluate the practicality issues of online assessments for other courses and domains, which include (but are not limited to) aviation [16][17][18], engineering [19][20][21], health [22][23][24] and management [25]. The multitude of educational programs offered by various levels of learning institutions have been mostly affected by the pandemic.…”

From Classroom to Industry: Human Factors in Aviation Maintenance Decision-Making

“…In many cases, multiple decision points are considered throughout the troubleshooting process, which when coupled with the presence of one or more precursors to human error, can create a potentially unsafe environment (Rashid, Place, & Braithwaite, 2013). The Dirty Dozen or the twelve most common precursors to human error in aviation maintenance (Dupont, 1993) is widely known and researched in aviation as well as other high-consequence industries (Marquardt, Treffenstadt, Gerstmeyer, & Gades-Buettrich, 2015;Samad, Johari, & Omar, 2018). However, the extent to which these occur throughout the troubleshooting process has not been fully explored.…”