NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

A Neural Network Based Scheduling System for Flexible Manufacturing Cells

Published

Author(s)

Albert T. Jones, Ying Sun, Yuehwern Yih, Luis C. Rabelo

Abstract

To meet dynamic market demands and manage uncertainty during production, a flexible scheduling system is essential. In this paper we present a neural network-based scheduling system that is able to adapt different scheduling strategies dynamically, based on the system condition. In addition, the proposed system can handle the changing of production objectives.
Citation
Materials Handling Engineering Division, 75th Commemorative Volume
Pub Type
Journals

Keywords

flexible manufacturing, nets, neural, scheduling

Citation

Jones, A. , Sun, Y. , Yih, Y. and Rabelo, L. (1996), A Neural Network Based Scheduling System for Flexible Manufacturing Cells, Materials Handling Engineering Division, 75th Commemorative Volume (Accessed October 18, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created July 31, 1996, Updated October 12, 2021
Was this page helpful?