An Application of Artificial Intelligence Technology within the Standard Base Supply System

Abstract

This thesis investigated the feasibility of applying artificial intelligence technology within the Standard Base Supply System (SBSS). With assembly endless reductions in manpower authorizations within the SBSS and the potential for a continued loss of expert knowledge, the use of knowledge-based system (KBSs) was examined to determine if these systems could alleviate this of manpower. Literature related to the fields of artificial intelligence, expert systems, and KBSs was traced, yielding a methodology for identifying candidate problems, and for the development, verification, and validation of prototype KBSs. This methodology was then employed within the research, culminating in the creation, verification, and validation of a prototype KBS. The research resulted in several conclusions: (1) Supply-related tasks do lend themselves to KBS development; (2) A small-scale Supply KBS is feasible with limited resources; and (3) A small-scale Supply KBS can be validated.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1991
Accession Number
ADA246873

Entities

People

  • Richard G. Nelson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Business Administration
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computers
  • Expert Systems
  • Inference Engines
  • Information Systems
  • Knowledge Based Systems
  • Logistics Management
  • Personnel Management
  • Standards
  • United States

Readers

  • Computational Modeling and Simulation
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Logistics and Supply Chain Management.

Technology Areas

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