Supervisory Control based Fuzzy Interval Arithmetic Applied for Discrete Scheduling of Manufacturing Systems

Abstract : This paper considers the modelling and designing of a production-flow scheduler based on fuzzy interval system. Particularly, the supervisory control is built according to the satisfaction degree of conflicting objectives which are quantified by fuzzy intervals. The control system aims at adjusting the machine's production rates in such a way that satisfies the demand while maintaining the overall performances within acceptable limits. At the shop-floor level, the actual dispatching times are determined from the continuous production rates through a sampling procedure. A decision for the actual part to be processed is taken using some criterions which represent a measure of the job's priority. A case study demonstrates the efficiency of the proposed control approach.
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Communication dans un congrès
IEEE. IEEE World Congress on Computational Intelligence, Jul 2010, Barcelona, Spain. pp.CD, 2010
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Karim Tamani, Reda Boukezzoula, Georges Habchi. Supervisory Control based Fuzzy Interval Arithmetic Applied for Discrete Scheduling of Manufacturing Systems. IEEE. IEEE World Congress on Computational Intelligence, Jul 2010, Barcelona, Spain. pp.CD, 2010. 〈hal-00586416〉

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