An Operational Suitability Evaluation Technique for Avionics Supported with Tow-Level Maintenance

Abstract

The purpose of this study was to develop a technique for evaluating operational suitability of new avionics systems with a two-level maintenance support system. The technique was primarily needed early in the design phases of development programs. The focus would be on could a system meet its operational requirements as set down in program documentation such as the Systems Operational Requirements Document (SORD) with a two-level maintenance concept. The study had two objectives: develop the technique and demonstrate it on a real system. The AN/ALE-47 Countermeasures Dispenser System was used to demonstrate the technique. A SLAM II simulation model was developed which used operational requirements and three system factors as input parameters. The system factors were reliability, testability, and the initial spares purchase. Probability distributions were developed for the mean and minimum monthly theater spares level. The average drop in monthly spares level due to the stated war surge was determined. The probability of having enough spares to handle the war surge drop was determined. This allowed quantification of the operational suitability of the system with the two-level concept. Theses. (RRH)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1989
Accession Number
ADA215748

Entities

People

  • Rodney C. Motley

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Combinatorial Analysis
  • Computational Science
  • Computer Programs
  • Computers
  • Confidence Limits
  • Data Science
  • Engineers
  • Factorial Design
  • Information Science
  • Knowledge Management
  • Logistics
  • Mainframe Computers
  • Maintenance
  • Operations Research
  • Reliability

Readers

  • Aerospace logistics and air mobility.
  • Regression Analysis.
  • Software Engineering