System level specification and multi-agent simulation of manufacturing systems

Khalil Aloui (1, 2, 3) , Amir Guizani (1) , Moncef Hammadi (2, 3) , Thierry Soriano (2) , Mohamed Haddar (1)

1 LA2MP - Laboratoire de recherche de Mécanique, Modélisation et Production
2 QUARTZ - Laboratoire QUARTZ
3 ISAE-Supméca - ISAE-Supméca Institut Supérieur de Mécanique de Paris

Lately, multi-agent systems (MAS) are being exploited to solve emerging challenges in manufacturing processes that require adaptation, flexibility, and reconfigurability. Multi-agent systems offer an alternative way to design and improve manufacturing processes and control systems due to their inherent abilities to adapt to emergence without external intervention. Multi-agent simulation assumes a crucial role to analyze and improve the manufacturing process during the design phase. Indeed, it is well suited to simulate manufacturing processes that present complex phenomena. This paper discusses the modeling and simulation of the steel converter process. The Systems Modeling Language (SysML) is used to illustrate the benefits of such tools in the manufacturing world on the specification of a steel converter process. A model of this process has been developed using SysML diagrams; and the simulation results are used to validate this model.

Mots clés: Manufacturing systems; Multi-agent simulation; Systems Modeling Language (SysML); Simulation tool (Anylogic)

Domaines: Sciences de l'ingénieur [physics]; Informatique [cs]

Khalil Aloui, Amir Guizani, Moncef Hammadi, Thierry Soriano, Mohamed Haddar. System level specification and multi-agent simulation of manufacturing systems. Advances in Materials, Mechanics and Manufacturing II, Springer International Publishing, pp.30-40, 2022, Lecture Notes in Mechanical Engineering, ⟨10.1007/978-3-030-84958-0_4⟩. ⟨hal-03182941⟩