Potential Information and Decision Support System Applications for a Civil Engineering RED HORSE Squadron.

Abstract

The development of automated management systems for USAF Civil Engineering Rapid Engineer Deployable, Heavy Operational Repair Squadron, Engineer (RED Horse) squadrons has lagged behind other Air Force Engineering and Services organizations. The low level of automation in these squadrons may be due in part to the differences in the way they operate and a lack of understanding of their automated needs of RED HORSE squadron, and identifies various Management Information System (MIS) and Decision Support System (DSS) applications, by analyzing the decision-making information needs of managers in these squadrons. The results of interviews with managers in two RED HORSE squadrons, as well as a review of regulations and policy material, provided the data for this study. Data and Decision Analysis techniques were used to determine the decision-making information needs of various managers in the squadron. Descriptive and normative models of key decision processes were used to determine the decision-making information needs of various managers in the squadron. Descriptive and normative models of key decision processes were used to identify potential MIS/DSS application areas. Key decisions were analyzed to identify the automated system capabilities required to support these decisions. Finally, a risk assessment of the system implementation environment was used to identify potential barriers to the effective implementation of automated systems in a RED HORSE squadron.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA187627

Entities

People

  • Arvil E. White Iii

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Business Administration
  • Civil Engineering
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Databases
  • Engineers
  • Information Systems
  • Management Personnel
  • Organizational Structure
  • Personnel Management
  • Processing Equipment
  • Risk Analysis
  • Systems Engineering

Readers

  • Defense Acquisition Program Management
  • Maritime and Naval Warfare Studies
  • Software Engineering.