ANN and fuzzy scheduling applied to textile yarn manufacturing

Z. Wang; A. E. Cropper

doi:10.1117/12.217537

28 August 1995 ANN and fuzzy scheduling applied to textile yarn manufacturing

Z. Wang, A. E. Cropper

Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217537
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China

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.

Citation Download Citation

Z. Wang and A. E. Cropper "ANN and fuzzy scheduling applied to textile yarn manufacturing", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); https://doi.org/10.1117/12.217537

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