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Proceedings Paper

Intelligent task scheduling, planning, and control for manufacturing work cells
Author(s): Mumin Song; Tzyh-Jong Tarn; Ning Xi
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Paper Abstract

This paper presents a novel approach for solving the challenging problem in intelligent control of manufacturing systems, i.e. the integration of low-level system sensing and simple control with high-level system behavior and perception. The proposed Max-Plus Algebra model combined with event-based planning and control provides a mechanism to efficiently integrate task scheduling, sensing, planning and real-time execution so that task scheduling, which usually deals with discrete types of events, as well as action planning, which usually deals with continuous events, can be treated systematically in a unified analytical model. More importantly, the unique feature of this approach is that interactions between discrete and continuous events can be considered in a unified framework. This feature allows the manufacturing system to intelligently cope with unexpected events and uncertainties so that the efficiency and reliability of the task schedule and action plan can increase significantly. A robotic manufacturing system is used to illustrate the proposed approach. The experimental results clearly demonstrate the advantages of the proposed approach.

Paper Details

Date Published: 9 October 1998
PDF: 11 pages
Proc. SPIE 3517, Intelligent Systems in Design and Manufacturing, (9 October 1998); doi: 10.1117/12.326934
Show Author Affiliations
Mumin Song, Ford Motor Co. (United States)
Tzyh-Jong Tarn, Washington Univ. (United States)
Ning Xi, Michigan State Univ. (United States)


Published in SPIE Proceedings Vol. 3517:
Intelligent Systems in Design and Manufacturing
Bhaskaran Gopalakrishnan; San Murugesan, Editor(s)

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