A Degradation Analysis Methodology for Maintenance Tasks

Abstract

The modeling performance degradation due to chemical protective clothing has become an area of increasing interest to military analysts but has been plagued by a lack of reliable data. This research effort proposes a methodology for estimating the mechanical degradation of individual soldiers when wearing this clothing. With maintenance tasks as the investigative focal point, applicable areas of work measurement, human performance, maintenance management and degradation modeling were used to develop the Degradation Analysis Methodology for Maintenance (DAMM). Using a decision model and the appropriate Army technical manual, a taxonomy for maintenance task analysis divides individual repair jobs into task elements according to their aim and the manual manipulation required. A procedure for obtaining movement degradation values was developed and applied using field test data. The results were then incorporated into the Ballistic Research Laboratory degraded effectiveness algorithm. DAMM constitutes an improvement over the subjective degradation estimates which predominate in current data bases and does not require costly field testing.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 12, 1985
Accession Number
ADA155073

Entities

People

  • David W. Harris

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Artillery
  • Chemical Warfare
  • Chemical Warfare Agents
  • Chemical Weapons
  • Databases
  • Information Science
  • Maintenance
  • Maintenance Management
  • Military Applications
  • Motor Skills
  • Performance Tests
  • Systems Engineering
  • Task Performance And Analysis
  • Test And Evaluation
  • Warfare
  • Work Measurement

Fields of Study

  • Engineering

Readers

  • Aerospace Test and Evaluation
  • Life Cycle Cost Analysis
  • Mathematics or Statistics