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Proceedings Paper

ANN and fuzzy scheduling applied to textile yarn manufacturing
Author(s): Z. Wang; A. E. Cropper
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Paper Abstract

This paper first gives the definitions of task similarities (TS), fuzzy schedule set (FSS) and fuzzy schedule (FS). The application of two methodologies, artificial neural network (ANN) and fuzzy similarities setting, are discussed as applied to the operations scheduling associated with textile yarn manufacturing. The two methods are applied in the same stage of operations scheduling to recognize the tasks pattern and their similarities based on the production priority rules. The fuzzy scheduling setting is only used in the ANN learning stage to generate the required data which will be established and revised by local rescheduling and simulation. The concept of fuzzy distance between task similarities employed to evaluate the task-like level and grouping of tasks into fuzzy schedule sets is discussed.

Paper Details

Date Published: 28 August 1995
PDF: 6 pages
Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217537
Show Author Affiliations
Z. Wang, Bolton Institute (United Kingdom)
A. E. Cropper, Bolton Institute (United Kingdom)


Published in SPIE Proceedings Vol. 2620:
International Conference on Intelligent Manufacturing
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

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