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The work presents a supervised and distributed approach based on holonic architecture, called SUDIHA, for dynamic scheduling of CPPS. This approach integrates three holons: the product holon, the resource holon and the order holon. The product holon provides global supervision, while the resource holon offers dynamic local control. The idea is to adjust the level of autonomy of the local holons according to the level of authority of the global holons to achieve a delicate balance and ensure the stability of the manufacturing system.In a second step, we developed the DT-SUDIHA architecture, using the Digital Twin concept. DTs are virtual representations of the real system that enable bidirectional interaction with their physical counterparts. This helps resolve the complexity and increase the flexibility of production systems. A case study is carried out in a flexible workshop to demonstrate the effectiveness of the proposed approach. The results show that the SUDIHA architecture, combined with the use of digital twins, enables robust and flexible dynamic planning, capable of handling disturbances.
The designer must integrate all phases of the life cycle of the system and its components into his process. He must opt for solutions that are simple to produce, inexpensive, highly reliable, safe, easy to maintain and have an overall life-cycle cost that is attractive to the consumer. Our contribution in this work is to develop models and tools to answer the following questions:¿ How can reliability be taken into account in design?¿ How can we integrate the notion of safety (machine, user) into the product design phase?¿ How can maintainability and availability be measured at the design stage?
In the framework of this work, we bring our reflection to the problem of designing a performance management tool for a supply chain through the concept of the dashboard. This contribution is materialized by a robust and hybrid methodology, combining all the elements necessary to establish a dashboard and a system of relevant performance indicators. Our methodology is broken down into four phases. The first phase consists of studying the field of study by determining the external environment and the information needed by the company to design a dashboard. The second phase consists of analyzing the supply chain and modeling it via processes. The third is to design dashboards by process using a structured approach that is broken down into four steps. This approach integrates the result of an empirical study by questionnaire that informs on the important performance indicators used in Moroccan industries. The last phase aims to develop a global dashboard of the supply chain.
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