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From key business factors to KPIs within a reconfigurable and flexible cyber-physical system

机译:从关键业务因素到可重构且灵活的网络物理系统中的KPI

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In a global market characterized by strong competition and quickly changing boundary conditions, flexible and reconfigurable production systems can rapidly react to both endogenous and exogenous drivers. To this extent, it is necessary to define a new production system model, which can combine the most significant key business factors (KBFs), in order to meet the specified objectives and the relevant KPIs and to control the system. The model can be used within a cyber-physical system, to properly support the different functions and take the right decisions through simulation ICT tools. This research task is part of PERFoRM (Production harmonizEd Reconfiguration of Flexible Robots and Machinery), a European funded project, which aims at developing an innovative manufacturing system based on a new agile concept introducing the implementation of methods, methodologies and strategies for transforming existing production systems into plug-and-produce production ones based on Cyber-Physical Systems technologies. In particular, this paper aims at describing the relationships among the KBFs (Key Business Factors), namely the drivers of the production system, and the relevant KPIs. The model has been validated through an industrial use case, in order to gain important information about constraints and opportunities for improvement in other contexts.
机译:在竞争激烈,边界条件迅速变化的全球市场中,灵活且可重新配置的生产系统可以对内源性驱动程序和外源性驱动程序做出快速反应。在此程度上,有必要定义一个新的生产系统模型,该模型可以结合最重要的关键业务因素(KBF),以满足指定的目标和相关的KPI并控制系统。该模型可用于网络物理系统中,以适当地支持各种功能,并通过仿真ICT工具做出正确的决策。这项研究任务是欧洲资助的项目PERFoRM(柔性机器人和机械的生产协调重组)的一部分,该项目旨在基于新的敏捷概念开发创新的制造系统,该概念引入了实现现有生产转型的方法,方法和策略的实施将系统转换为基于网络物理系统技术的即插即用生产系统。特别是,本文旨在描述KBF(关键业务因素)之间的关系,即生产系统的驱动程序和相关的KPI。该模型已经通过工业用例进行了验证,以便获得有关约束和在其他情况下进行改进的机会的重要信息。

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