Name
Abstract | ||
|---|---|---|
System errors, both mechanical and human in nature, can have a grave effect on aircrew judgement in flight. The effects of these errors can be massively compounded during emergency situations. Crew Resource Management (CRM) is an important process aircrews can utilize to minimize risks and enhance assessments. The employment of this technique can be validated by aviation mishaps over the last three decades and how system errors increased the probability of the incident occurring. Suggestions can be made to further prevent similar accidents from occurring in the future utilizing historical aeronautical records. This paper outlines an approach by which systems errors can be recognized and prevented using CRM. It is the hope of the authors that employing such an approach will drastically decrease the incidence rate and severity of aviation mishaps due to systems errors. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.procs.2015.09.216 | Procedia Computer Science |
Keywords | Field | DocType |
systems approaches,errors,error types,crew resource management | Resource management,Aeronautics,Crew resource management,Aircrew,Computer science,Adaptive system,Judgement,Aviation,Operations research,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
61 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Justin Y. Adkins | 1 | 0 | 0.34 |
| Kevin MacG. Adams | 2 | 40 | 10.14 |
| Patrick T. Hester | 3 | 40 | 11.16 |