Masters Theses

Abstract

"As research fields in AI accelerate and a high number of experts are demanded by industry, Expert Systems play an important role in meeting the technological sophistication required in today’s competitive world. Industries are demanding the assistance of human experts to solve complicated problems. However, there is a shortage of experts due to this demand. Expert Systems are rapidly becoming one of the major approaches to solve engineering and manufacturing problems. They have been implemented for several practical applications in many decision making problems. Expert Systems are helping major companies to diagnose processes in real time, schedule operations, maintain machinery and design services and production facilities.

The area of robotics is a fertile one for application of Expert Systems. Robots are an integral part of today’s manufacturing environment. New tasks are being defined for robots in order to meet the challenges of Flexible Manufacturing Systems. Robots are entering every fact of manufacturing. Along with this grown there is an increasing variety of robots to choose from. One of the major problems facing the potential robot user will be his/her choice of an optimum robot for a particular task. Various parameters should be considered and the user should choose an industrial robot whose characteristics satisfy the requirements of the intended task.

This work will present a viable solution to the problem of selecting an optimum robot by building a Knowledge-Based Expert System using the LEVEL5 shell. LEVEL5 is an Expert System software created by Information Builders Inc., which runs on the IBM Personal Computer, XT and AT. The system asks the user several questions regarding the usage and requirements of the desired robot. It uses the knowledge base and the rules to determine an optimum robot"--Abstract, page iii.

Advisor(s)

Kamrani, Ali K.
Wiebe, Henry Allen

Committee Member(s)

Erickson, Kelvin T.

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Engineering Management

Publisher

University of Missouri--Rolla

Publication Date

Fall 1994

Pagination

x, 61 pages

Note about bibliography

Includes bibliographical references (pages 59-60).

Rights

© 1994 Shobha Shashikumar, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Library of Congress Subject Headings

Robots, Industrial
Expert systems (Computer science)
Management information systems
Industrial productivity

Thesis Number

T 6895

Print OCLC #

32799467

Electronic OCLC #

904019945

Comments

Electronic access to the full-text of this document is restricted to Missouri S&T users. Print thesis not available at Missouri S&T Library.

Print thesis lost & withdrawn; scan made from microfilm is best quality available; page ii is missing.

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