Karim Tamani

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This paper deals with the development of an intelligent distributed and supervised control approach for high-volume production systems in which the flow of parts can be approximated by a continuous (fluid) model. The proposed approach is based on the decomposition of the production system into elementary modules in order to reduce the control design(More)
This paper aims at developing supervisory control architecture in order to improve the performance of manufacturing systems. The proposed control architecture is hierarchical. It is composed of basic-level fuzzy logic controllers supervised by a higher level decision-making combining local and global performance indicators to allocate the production(More)
This paper aims at developing hierarchical control architecture for continuous-flow simulation in order to regulate production in multiple-part-type flow shops. The approach uses a continuous-flow approximation to model the discrete flow of parts in a manufacturing system. The control strategy specifies how to allocate limited system capacity among all the(More)
The control of manufacturing systems is a problem due to its complexity and conflicting goals within the different production objective. In this article, in order to cope with some of these difficulties, we introduce a two-level fuzzy logic-based control structure, allowing the division of the complex control problem into elementary production modules. The(More)
This paper considers the modelling and simulation of a hierarchical production-flow control system. It uses a continuous control approach for machine capacity allocation at the design level and real time scheduling at the shop-floor level. Particularly, at the design level, the control of machine throughput has been addressed by a set of distributed and(More)
This paper considers the modelling and simulation of a hierarchical production-flow control system. Particularly, the system capacity allocation has been addressed by a set of distributed and supervised fuzzy controllers. The objective is to adjust the machine's production rates in such a way that satisfies the demand while maintaining the overall(More)
— In this paper, a fuzzy supervisory control technique for manufacturing systems is proposed. The developed method uses a hierarchical structure consisting of a supervisor at the higher level and sub-controllers at the lower one. Each sub-controller regulates the production flow at each production resource in order to: reduce the difference between the(More)
A particular characteristic of a manufacturing system concerns the complexity and the presence of uncertainties along with the difficulties in building analytical models that capture the system in all its important aspects. Hence, simulation remains one of the most widely used tools to fill this need. The objective of this article is related to the(More)