A Survey of Human Factors Methodologies and Models for Improving the Maintainability Design of Emerging Army Aviation Systems

Abstract

This report presents the findings of a literature review conducted to identify human factors methods and models that might be used to improve the maintainability of emerging Army aviation systems. Three methods and seven models are reviewed. The three methods are Logistic Support Analysis, Hardware versus Manpower, and Acquisition of Supportable Systems Evaluation Technology. The seven models are the Human Operator Simulator, Microcomputer Systems Analysis of Integrated Networks of Tasks, Sequiturs Workload Analysis System, Task Analysis and Workload, Maintenance Personnel Simulation, Crew Chief, and Profile. A comparison of the methods and models suggests that the Crew Chief and Profile models have the greatest immediate use for improving maintainability design. It is recommended that research be initiated that will evaluate the Crew Chief and Profile models to see if they can be applied to the maintainability design of Army aviation systems; investigate ways in which the other models might be modified and applied to Army aviation maintainer tasks; and begin a program of maintainability research to address Army aviation systems, mission requirements, and operational environments. (jg)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1990
Accession Number
ADA221159

Entities

People

  • John W. Ruffner

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Ground and Sea Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Army Aircraft
  • Artificial Intelligence
  • Cognitive Workload
  • Electronic Equipment
  • Engineers
  • Human Factors Engineering
  • Human Systems Integration
  • Literature Surveys
  • Logistics
  • Maintenance
  • Military Aviation
  • Personnel Management
  • Systems Engineering
  • Task Performance And Analysis

Fields of Study

  • Engineering

Readers

  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.