Submitted by Izabel Franco (izabel-franco@ufscar.br) on 2016-10-10T13:16:27Z No. of bitstreams: 1 TeseFAM.pdf: 8157885 bytes, checksum: 8ac54b34fd878dc861557d4d145bc901 (MD5) / Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-10-20T19:40:22Z (GMT) No. of bitstreams: 1 TeseFAM.pdf: 8157885 bytes, checksum: 8ac54b34fd878dc861557d4d145bc901 (MD5) / Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-10-20T19:40:28Z (GMT) No. of bitstreams: 1 TeseFAM.pdf: 8157885 bytes, checksum: 8ac54b34fd878dc861557d4d145bc901 (MD5) / Made available in DSpace on 2016-10-20T19:40:34Z (GMT). No. of bitstreams: 1 TeseFAM.pdf: 8157885 bytes, checksum: 8ac54b34fd878dc861557d4d145bc901 (MD5) Previous issue date: 2015-04-02 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / 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. / Na manufatura, a busca por novas técnicas para melhorar a produção é sempre um desafio. Estas técnicas devem se adequar ao ambiente dinâmico da manufatura. Um ponto tratado neste âmbito é o sistema de transporte, que tem como um de seus subproblemas a atribuição de tarefas para os AGVs. Para a resolução deste problema, é comum utilizar técnicas de despacho de veículos, sendo que estas técnicas geralmente são multicritério. Apesar de serem multicritério, não é comum contemplarem critérios de diferentes setores da fábrica, o que poderia indicar estratégias conflitantes. Outro ponto que influencia no desempenho da manufatura é a arquitetura de controle. Tradicionalmente, a arquitetura é centralizada ou descentralizada, apresentando prós e contras. Existe uma busca sobre novas arquiteturas para atingir benefícios proveniente das duas tradicionais; uma opção muito usada é a holônica. Neste trabalho é apresentada uma arquitetura holônica de controle para o despacho de veículos usando regras multicritério, atendendo critérios de otimização de diferentes setores da fábrica e proporcionando um viés de otimização global. Foram realizadas análises para avaliar a aderência da arquitetura holônica proposta no ambiente de manufatura, atendendo à inclusão de novos elementos de maneira natural, analisando o comportamento diante de eventos não programados e possibilitar o atendimento de diferentes variáveis de otimização pertencentes à diferentes setores da fábrica.

La maintenance de flottes de systèmes mobiles dans le monde du transport et de la logistique revêt de nos jours une importance croissante de par l’augmentation des attentes des exploitants et opérateurs en termes de sécurité, de fiabilité, de suivi, de diagnostic et de maintenance de ces systèmes. Dans ce contexte, Les mainteneurs des flottes doivent souvent faire face à d'énormes quantités de données brutes, informations et événements de surveillance liés aux contexte de leurs systèmes. De plus, ces événements, données et informations manquent souvent de précision et sont souvent contradictoires ou obsolètes. Enfin, le degré d'urgence des décisions de maintenance est rarement pris en compte. Ce travail est consacré à la proposition et à la mise au point d’une architecture de surveillance pour l’aide à la maintenance d’une flotte de systèmes mobiles. Cette architecture, appelée EMH², est destinée à faciliter le diagnostic et le suivi de ce type de flotte. Elle est construite sur les principes holoniques, des plus bas (capteurs) aux plus hauts niveaux (ensemble d’une flotte de systèmes mobiles). Elle se base également sur une standardisation des événements traités afin de traiter les données de manière générique. Cette architecture, indépendante des types de systèmes surveillés et de leur niveau hiérarchique, peut devenir l'épine dorsale d’une stratégie efficace de maintenance proactive d’une flotte. Une méthodologie de déploiement est ainsi proposée. Une étude en simulation et une application sur une flotte de 10 trains actuellement en service est présentée. / The maintenance of mobile systems fleets in the world of transport and logistics is of increasing importance today due to the increasing expectations of operators in terms of safety, reliability, monitoring, diagnosis and maintenance of these systems. In this context, fleet maintainers often have to deal with huge amounts of raw data, information and monitoring events related to the context of their systems. Moreover, these events, data and information are often lack precision and often contradictory or obsolete. Finally, the urgency of maintenance decisions is rarely taken into account. This work is devoted to the proposal and the development of a monitoring architecture to help maintain a fleet of mobile systems. This architecture, called EMH², is intended to facilitate the diagnosis and monitoring of this type of fleet. It is built on holonic principles, from the lowest (sensors) to the highest levels (a whole fleet of mobile systems). It is also based on a standardization of processed events in order to process the data generically. This architecture, independent of the types of systems monitored and their hierarchical level, can become the backbone of an effective strategy for proactive fleet maintenance. A deployment methodology is thus proposed. A simulation study and an application on a fleet of 10 trains currently in service is presented.