As mudanças constantes e as incertezas do mercado discutidas no contexto da Indústria 4.0 exigem sistemas de controle produtivos mais flexíveis e modulares permitindo mudança rápida na cadeia produtiva descentralizada. Entretanto, os sistemas de controle tradicionais (legados) tornam-se rígidos, concebidos por meio de arquiteturas hierárquicas específicas, que não respondem mais de forma eficiente quando comparado ao que pode ser realizado diante do paradigma baseado em I4.0. Além disso, para que empresas possam responder prontamente a essas mudanças, os sistemas produtivos distribuídos devem estar integrados utilizando diferentes tecnologias. Para integrar esses ambientes heterogêneos, aproximando os sistemas de fabricação real ao plano de fabricação de produtos, novos modelos de arquiteturas são introduzidos na indústria habilitados pelo crescente avanço tecnológico de Tecnologia da Informação e Comunicação (TIC), Internet das Coisas (IoT) e arquiteturas orientada a serviços (SOA), as quais através de metodologias de Controle inteligente como Sistemas Multi-Agentes (MAS) habilitam os Sistemas de produção cyber físicos (CPPS). Essa abordagem de interoperabilidade vêm sendo discutida na Indústria 4.0 através da representação de seus ativos (AAS) que descreve uma nova padronização capaz de contribuir para a migração global de diferentes sistemas industriais. Neste contexto, este trabalho apresenta uma proposta para o desenvolvimento de novas soluções de controle baseadas em I4.0 para sistemas legados de manufatura. Para tal, este trabalho propõe a comunicação e integração de sistemas legados de manufatura com o uso destes novos conceitos, sendo a proposta aplicada em um estudo de caso real.

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Traditional manufacturing systems need proposals adherents to the Industry 4.0 (I4.0) context. The I4.0 guidelines demonstrate the need for self-organization and plug-andproduce, demanding greater flexibility in today's applications. The virtualization of different components is promising for replicating real systems in the virtual environment.One area that requires attention is the different relationships and task assignments of resources so that they can be understood in the virtual world.The Asset-Administration Shell (AAS) concept provides a standard for the virtualization of industry asset data, in addition to introducing the concept of capabilities engineering, meeting the requirements of an active virtual product in the production flow.The cooperation of different resource abilities can be achieved with the support of control applications that perform the choice of functionalities and grouping of different information attributes.In this context, the current work proposes a method for the control and coalition of resources of a productive system based on multi-agents, through the virtualization of these resources in the context of I4.0. The proposal describes a methodology that allows the migration of manufacturing systems, an analysis of the dynamic behavior allows validating of the models conceived in High-Level Petri Nets (PFS) and Condition/Event Petri Nets (RdP C/E) that meet concepts of conservative components. The process simulation demonstrates the adequacy of the designed models, meeting the modeling requirements and behavioral properties. The concepts of place invariant exert cooperation in different activities of agents.As there are still challenges to implementing the concepts used, the author hopes to contribute to migration and help in the design of control method models adapted to the guidelines of RAMI .40. A conceptual case study demonstrates the application of the method, in which the MAS control orchestrates AAS generating coalition tables that allow better use of resource services, which are re-planned in real-time.

Manufacturing systems need to meet Industry 4.0 (I4.0) guidelines to deal with uncertainty in scenarios of turbulent demand for products. The engineering concepts to define the service’s resources to manufacture the products will be more flexible, ensuring the possibility of re-planning in operation. These can follow the engineering paradigm based on capabilities. The virtualization of industry components and assets achieves the RAMI 4.0 guidelines and (I4.0C), which describes the Asset Administration Shell (AAS). However, AAS are passive components that provide information about I4.0 assets. The proposal of specific paradigms is exposed for managing these components, as is the case of multi-agent systems (MAS) that attribute intelligence to objects. The implementation of resource coalitions with evolutionary architectures (EAS) applies cooperation and capabilities’ association. Therefore, this work focuses on designing a method for modeling the asset administration shell (AAS) as virtual elements orchestrating intelligent agents (MAS) that attribute cooperation and negotiation through contracts to coalitions based on the engineering capabilities concept. The systematic method suggested in this work is partitioned for the composition of objects, AAS elements, and activities that guarantee the relationship between entities. Finally, Production Flow Schema (PFS) refinements are applied to generate the final Petri net models (PN) and validate them with Snoopy simulations. The results achieved demonstrate the validation of the procedure, eliminating interlocking and enabling liveliness to integrate elements’ behavior.

Manufacturing systems need to meet I4.0 guidelines to deal with uncertainty in scenarios of turbulent demand for products. The engineering concepts to define the service’s resources to manufacture the products will be more flexible, ensuring the possibility of re-planning in operation. These can follow the engineering paradigm based on capabilities. The virtualization of industry components and assets achieves the RAMI 4.0 guidelines and (I4.0C), which describes the Asset Administration Shell (AAS). However, AAS are passive components that provide information about I4.0 assets. The proposal of specific paradigms is exposed for managing these components, as is the case of multi-agent systems (MAS) that attribute intelligence to objects. The implementation of resource coalitions with evolutionary architectures (EAS) applies cooperation and capabilities’ association. Therefore, this work focuses on designing a method for modeling the asset administration shell (AAS) as virtual elements orchestrating intelligent agents (MAS) that attribute cooperation and negotiation through contracts to coalitions based on the engineering capabilities concept. The systematic method suggested in this work is partitioned for the composition of objects, AAS elements, and activities that guarantee the relationship between entities. Finally, Production Flow Schema (PFS) refinements are applied to generate the final Petri net models (PN) and validate them with Snoopy simulations. The results achieved demonstrate the validation of the procedure, eliminating interlocking and enabling liveliness to integrate elements behavior.