Modeling and Analysis of Human Error in Naval Aviation Maintenance Mishaps

Abstract

This study investigates human error associated with 599 Naval Aviation maintenance-related mishaps (MRMs) in Fiscal Years 90-99. The Human Factors Analysis and Classification System Maintenance Extension (HFACS-ME) taxonomy was utilized to classify contributory human errors within a robust theoretical framework. Variable Poisson process models are developed to predict MRMs and relationships between the error dimensions are investigated. The results of this study show that the HFACS-ME taxonomy provides an adequate framework for the classification of MRM causal factors; that variable Poisson process models are suitable for predicting future mishaps, and that there are significant relationships between selected causal dimensions; sufficient to warrant further investigation. These results provide information regarding the predicted impact of MRMs on future operational readiness and mission capability. Through being aware of these aspects, decision-makers are armed with the knowledge to make better decisions concerning the preservation and allocation of the resources at their disposal.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2000
Accession Number
ADA381266

Entities

People

  • Ashley D. Fry

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Basic Programming Language
  • Classification
  • Computer Programming
  • Computers
  • Data Analysis
  • Databases
  • Maintenance
  • Military Aviation
  • Naval Aviation
  • Operational Readiness
  • Operations Research
  • Personnel Management
  • Psychology
  • Spreadsheet Software
  • Taxonomy
  • Word Processors

Readers

  • Logistics and Supply Chain Management.
  • Regression Analysis.
  • Systems Analysis and Design