Arquitetura holônica de controle para o despacho multicritérios de AGVs

• Ano de defesa: 2015
• Autor(a) principal: Montoro, Flavio Aldrovandi
• Orientador(a): Morandin Júnior, Orides
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos; Câmpus São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência da Computação - PPGCC
• Palavras-chave em Português: Arquitetura holônica; Despacho multicritério; Sistemas holônicos; Sistema de controle; AGV
• Palavras-chave em Inglês: Multicriteria Dispatching; Holonic Architecture; Manufacturing Holonic System
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/8069

In manufacturing, the search for new techniques to improve the production is always a challenge. These techniques must be adapted to the dynamic environment. A point very dealt in this area is the transportation system which has, as one of its sub problems, the assigning tasks to the AGVs. To solve this problem, it is common to use vehicle dispatching, and these techniques are usually multicriteria. Although they are multi-criteria, is not common contemplate criteria of different sectors of the factory, which could indicate conflicting strategies. Another point that influences the performance of the manufacturing is the control architecture. Traditionally, this architecture is centralized or decentralized, and have pros and cons. To achieve benefits from both traditional architectures, new architectures have been pursued; a widely used option is the holonic. This research presented a holonic architecture control for the dispatch of vehicles using multiple criteria rules, given optimization criteria from different sectors of the factory and providing a global optimization bias. Analyzes were performed to assess the adhesion of the proposed holonic architecture in the manufacturing environment, achieving the inclusion of new elements naturally, analyzing the behavior when an unpredicted event occurs and enabling compliance with different optimization variables belonging to different sectors of the factory.