Inaccurate Data Entry into the Air Force Maintenance Data Collection System

Abstract

This research investigated the data collection environment under the Core Automated Maintenance System (CAMS), a computerized information system used in the Air Force's aircraft maintenance complexes. The research measured maintenance personnel's perception of the nature, extent, and causes of data inaccuracies occurring in the CAMS data collection environment. The nature was differentiated as being either intentional or accidental. Maintenance personnel felt that difficulty in entering information into CAMS accounted for the largest percentage of intentional errors and that insufficient training on CAMS accounted for the largest percentage of accidental errors. A comparison of this research to the results of earlier research, conducted by Capt Thomas Folmar, revealed that the rank of the maintenance personnel had a significant effect on their perception of improvement in data accuracy under the CAMS environment. Also, the maintenance personnel surveyed perceived that lack of training on CAMS was the most significant cause of data errors and suggested that a training program may help to improve the data accuracy. Finally, the evidence in this research suggests that further research be conducted in identifying CAMS training requirements and assessment of the impact of data errors occurring under the CAMS environment.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1991
Accession Number
ADA246876

Entities

People

  • Jon R. Determan

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Personnel
  • Aircraft Maintenance
  • Aircrafts
  • Databases
  • Errors
  • Information Processing
  • Information Science
  • Information Systems
  • Maintenance
  • Maintenance Personnel
  • Measuring Instruments
  • Statistical Analysis
  • Students
  • Surveys
  • Training

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Logistics and Supply Chain Management.