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A Neural Network Based Cell Controller for Automated Manufacturing Cells

Published

Author(s)

Albert T. Jones, Yuehwern Yih, Ying Sun

Abstract

In this paper, we describe an adaptive controller for automated manufacturing cells. The controller inputs desired performance targets and job characteristics and outputs tasks sequences for each piece of equipment in the cell. It contains an adjustment module to rank performance measures and a collection of dispatchers to generate the task sequences. The rankings are done dynamically based on the current cell status. The task sequences are generated using neural networks. After we describe the controller, we discuss the results of some simulation studies which show how well it performs.
Citation
NIST Interagency/Internal Report (NISTIR) - 5718
Report Number
5718

Keywords

automated manufacturing cell controller, dispatcher, neural net, scheduling

Citation

Jones, A. , Yih, Y. and Sun, Y. (1995), A Neural Network Based Cell Controller for Automated Manufacturing Cells, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=821209 (Accessed March 1, 2024)
Created May 31, 1995, Updated October 12, 2021