Applying machine learning to the design of decision support systems for intelligent manufacturing

This paper presents a Decision Support System (DSS) with inductive learning capability for model management. Simulation is used as the primary environment for modeling manufacturing systems and their processes. We propose an adaptive DSS framework for incorporating machine learning into the real time scheduling of a Flexible Manufacturing System (FMS).

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Business Administration

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Park, Sangchan

Contributors dc:contributor

• Shaw, Michael J.

• Business Administration, Management
• Engineering, Industrial
• Artificial Intelligence
• Computer Science

Statement dc:rights

• Copyright 1991 Park, Sangchan

Language dc:language

eng

Identifier

AAI9210947
(UMI)AAI9210947

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/21402