Decision Support Systems: An Approach to Aircraft Maintenance Scheduling in the Strategic Air Command.

Abstract

Maintaining increasingly complex Air Force weapon systems requires optimum use of all available resources. Timely and accurate resource coordination is vital to ensure continuous mission capability; any improvement in coordination can produce an increase in readiness. Essential to such resource coordination is the aircraft maintenance scheduling function at the unit level. It is hypothesized that the application of computer technology to the maintenance scheduling decision process could result in improved maintenance resource allocation. A promising tool for computer-aided scheduling exists; Decision Support Systems (DSS) are intended to combine the information storage and assimilation powers of the computer with the experienced judgement of the manager to produce more effective decisions. The first requirement of a DSS is to model the current decision process; this research effort has generated a maintenance scheduling model of a SAC wing-level organization. The architecture of the model is based on Integrated Computer-Aided Manufacturing (ICAM) technology, specifically incorporating the structure explained in the ICAM Definition (IDEFO) Function Modeling Manual.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1982
Accession Number
ADA123039

Entities

People

  • Sam E. Pennartz
  • Stephen B. Hackett

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Computer Programs
  • Computers
  • Control Systems
  • Data Processing
  • Decision Support Systems
  • Information Processing
  • Information Systems
  • Logistics
  • Maintenance
  • Maintenance Management
  • Operations Research
  • Organizational Structure
  • Plastic Explosives

Fields of Study

  • Engineering

Readers

  • Aerospace logistics and air mobility.
  • Software Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.