Date of Award

9-1991

Document Type

Thesis

Degree Name

Master of Science

First Advisor

John E. Sullivan III, Captain, USAF

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.

AFIT Designator

AFIT-GLM-LSM-91S-49

DTIC Accession Number

ADA246873

Comments

The author's Vita page is omitted.

Presented to the Faculty of the School of Systems and Logistics of the Air Force Institute of Technology, Air University, in Partial Fulfillment of the Requirements for the Degree of Master of Science

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