Using SHERPA to predict human error on the maritime SAR helicopter hoist task

Area of Science:

• Aviation Safety
• Human Factors Engineering
• Maritime Search and Rescue (SAR)

Background:

• Air-maritime SAR missions are complex, with human error posing a greater risk than technical failure.
• Standard checklists may not fully address the multifaceted nature of SAR operations.
• Mitigating pilot errors is vital for mission success and safety.

Purpose of the Study:

• To identify and predict human errors during maritime SAR helicopter hoist tasks.
• To apply the SHERPA methodology for a systematic error analysis.
• To provide recommendations for enhancing SAR mission design and reducing error occurrence.

Main Methods:

• Application of the SHERPA (Systematic Human Error Reduction and Prediction Analysis) methodology.
• Analysis of potential human errors specific to maritime SAR helicopter hoist operations.
• Identification of error types and their potential impact on mission outcomes.

Main Results:

• A comprehensive total of 54 potential human errors were identified.
• The findings are particularly relevant for countries using rescue aircraft similar to Taiwan's.
• The study highlights specific areas within helicopter hoisting tasks prone to human error.

Conclusions:

• The SHERPA methodology offers valuable insights for improving maritime SAR helicopter hoist task design.
• Implementing findings can lead to a decrease in the occurrence of human errors in future SAR missions.
• Prioritizing enhanced pilot training and systematic operational approaches is essential for air-maritime SAR effectiveness.