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The Social Factory: Connecting People, Machines and Data in Manufacturing for Context-Aware Exception Escalation

机译:社会工厂:在制造业中连接人员,机器和数据以实现上下文异常升级

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摘要

Manufacturing environments are socio-technical systems where people have to interact with machines to achieve a common goal. The goal of the fourth industrial revolution is to improve their flexibility for mass customization and rapidly changing production conditions. As a contribution towards this goal, we introduce the Social Factory: a social network with a powerful analytics backend to improve the connection between the persons working in the production environment, the manufacturing machines, and the data that is created in the process. We represent machines, people and chatbots for information provisioning as abstract users in the social network. We enable natural language based communication between them and provide a rich knowledge base and automated problem solution suggestions. Access to complex production environments thus becomes intuitive, cooperation among users improves and problems are resolved more easily.
机译:制造环境是社会技术系统,人们必须与机器交互才能达到共同的目标。第四次工业革命的目标是提高其用于大规模定制和迅速改变生产条件的灵活性。为了实现这一目标,我们引入了Social Factory:社交网络具有强大的分析后端,以改善生产环境中的工作人员制造机器与创建的数据之间的联系过程。我们将用于信息供应的机器,人员和聊天机器人表示为社交网络中的抽象用户。我们在他们之间启用基于自然语言的交流,并提供了丰富的知识库和自动化的问题解决方案建议。因此,访问复杂的生产环境变得直观,用户之间的合作得到改善,问题更容易解决。

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