Artificial Intelligence in the Allocation of Maintenance Resources for Intelligence Systems

Abstract

Commanders of Army military intelligence units in a tactical environment are responsible for keeping their assigned equipment maintained and in operation since early replacement in a conflict may not be possible. Scheduling maintenance assets to repair and service assigned equipment is critical to success. This paper discusses the development of an expert system to assist the commander in the proper allocation of his maintenance resources. Since this expert system assists in the resolution of an allocation of resources or scheduling problem, insight into the application of artificial intelligence to this type of problem is gained. Keywords: Tactical intelligence, Job shop scheduling, ESP(Expert Systems Planner), TAPS(Tracking and Planning System).

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA197557

Entities

People

  • Lester Mcconville
  • Paul Orgren

Organizations

  • Unisys

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Battlefields
  • Combat Areas
  • Computer Programming
  • Computers
  • Control Systems
  • Databases
  • Expert Systems
  • Inference Engines
  • Job Shop Scheduling
  • Machines
  • Maintenance
  • Military Intelligence
  • Scheduling (Production)
  • Security
  • Vehicles
  • Warfare

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Joint Military Operations and Doctrine.
  • Logistics and Supply Chain Management.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy