SAMOM: uma arquitetura para operação de sistemas de manufatura com habilidades inteligentes e adaptativas

Abstract

Manufacturing systems commonly require adequate management and control (M&C) for decision-making and consequent meeting of production demands. Systems prior to Industry 4.0 (traditional) are limited in terms of the flexibility required to adapt to emerging demands, such as process diversity and product customization. In these systems, the typical characteristics of dedicated automation focused on islands do little to favor adequate integration. As a result, M&C activities require large amounts of resources. Industry 4.0 (I4.0) brings concepts and technologies that enable new manufacturing systems (4.0 manufacturing systems) with greater flexibility and M&C efficiency. This paper aims to propose an architecture for integrated management and control of discrete and batch manufacturing systems with distributed characteristics and predictive and adaptive capabilities. To this end, the architecture uses enabling technologies and concepts from I4.0, focusing on Data Analysis, AI, Systems Integration and Service-Oriented Architecture (SOA). The proposed model unfolds into a SOA, based on Multi-Agent Systems (MAS) and Manufacturing Execution Systems (MES). It also describes components, interactions, concepts and implementation particularities of such architecture. The proposed model was validated in a pilot plant of 4.0 manufacturing, where it was possible to demonstrate that the devices of such system were managed and controlled, with the help of digital representations (agents), in a decentralized, distributed and heterarchical way. It was also possible to demonstrate the realization, by the MAS in question, of predictions of the availability of the devices and of decision-making about the production performance. It is concluded that the work proves to be a reference for the implementation of architectures compatible with the G&C of manufacturing systems 4.0.