Développement d'un système AGV utilisant MBSE méthode et technologie multi-agents

International audienceToday, smart manufacturing is differentiated from many other initiatives by its emphasis on human ingenuity. Human capabilities must be enhanced by intelligently designing a customized solution for a specific domain. For example, Industry 4.0 is based on collaborative robots that digitize and simplify manufacturing processes. In fact, Automatic Guided Vehicles (AGVs) are widely used in intelligent industries due to their productivity, flexibility, and versatility. They are widely considered as one of the most important tools for flexible logistics in workshops. They can move materials and products without a predefined route. Many commercially available AGVs provide a self-guided navigation system to find their way to target workstations. However, many developers and producers of industrial robots face several challenges in designing AGV systems, such as the difficulty of defining a decentralized system decision as well as the discontinuity and complexity of the design process. In this article, we propose a new design approach based on multi-agent technology and the Model-based systems engineering method (MBSE) to meet the challenges of functional, physical, and software integration. It is a top-down approach from requirements specification, functional and structural modeling using the systems modeling language (SysML) to model simulation with the multi-agent tool (Anylogic). Our design approach was applied on an Automated Guided Vehicle (AGV) system to serve items and deliver parts and supplies to stations in a smart factory