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Titlebook: Service Orientation in Holonic and Multi-Agent Manufacturing; Proceedings of SOHOM Theodor Borangiu,Damien Trentesaux,Sergio Cavalier Confe

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Toward an Anthropocentric Approach for Hybrid Control Architectures: Case of a Furniture Factoryduction and management. Slowly, the concept of industry 4.0 starts to set up in manufacturing companies. Research on hybrid control systems favours achieving automated and flexible production system through “.” (or .) and . principles. Still, studies stay mainly techno-centred rather than anthropoce
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Toward a Sustainable New Product Development Approach Based on Industry 4.0 Assetsntinually improve their processes, resources and data management in a competitive environment. This paper aims to bring together and to link the concepts of new product development (NPD) process, digital transformation and sustainable development through a human centered approach. Organization, Proc
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A Model Driven Approach for Automated Generation of Service-Oriented Holonic Manufacturing Systemsequired. Several approaches succeeded in creating a Service-oriented Holonic Manufacturing System that combines the advantages of Service-oriented Architectures and Holonic Manufacturing Systems. However until now these systems suffer from many shortcomings, among which are genericity, lack of proof
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Cooperation Between Smart Manufacturing Scheduling Systems and Energy Providers: A Multi-agent Perspe facing increasing pressure to reduce their carbon footprint, driven by concerns related to energy costs and climate changes. This work focuses on the challenging issue of energy aware production scheduling and rescheduling systems (EAPSRS). The proposed multi-agent architecture (MA-EAPSRS) is hybr
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On Migrating from Present Identity Management Services to EIDAStions such as username-password combinations are no longer considered satisfactory especially when it comes to sensitive applications such as e-banking, local or governmental administration, e-health and so on. Several identity management and trust services solutions exist but their main problem is
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A Distributed Approach for Machine Learning in Large Scale Manufacturing SystemsThis novel approach also allows accurate forecasting of the energy consumption patterns during the production cycle by using Long Short Term Memory neural networks. The paper presents a practical example on how map-reduce algorithms can be implemented and how repetitive patterns in energy consumption can be learned.
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Architecture for Production Internetof homeostasis, as well as to aid evolution. All these functionalities are embodied into the architecture through a distributed, agent-based and heterarchical solution. The proposed approach aims to improve overall performance, considering the turnover and efficiency of resources, the ‘price of anarchy’, and the Pareto optimality.
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