Quality regulat ion methodology was developed to control and improve the product and the performance evaluation in Discrete Event Systems (DES). The same part icularity may be found on process where the associated constraints do not concern the time. Thus the objective of quality regulation system is to ensure that measure a product's quality fall into ranges that are acceptable to prospective customers. The control must guarantee the values of the quality variable may or may not fall a random pattern with in the limits specified. So a suitable model, rich in analytical properties, is necessary to synthesize the needed controller. The paper is related to the Discrete Events Systems Modelling. We propose a new approach to model the regulation quality systems under temporal and non-temporal constraints. The proposed approach is based on hybrid Petri Nets which co mbines Interval Constrained Petri Nets (ICPN) and P-temporal Petri Nets. These tools allo w us to evaluate the quality variations and to manage the flo w type disturbance. The approach is validated on an interesting large scale co mplex system (more p recisely the applicat ion is related to a tobacco manufacturing system).
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