Manufacturing systems are subject to continuous changing conditions, which are due both to external reasons (e.g. changing demand) and to the natural system evolution, (e.g. machine degradation, operators’ upskilling). At tactical level, production engineers are challenged to continuously improve the system performance. At strategical level, the manufacturing company must monitor the system status and proactively identify reconfiguration actions to ensure system fitness to the evolving competitive scenario. A novel Digital Twin based on an analytical model for performance evaluation of manufacturing system embedding evaluation of joint parameter variations is introduced. In particular this work concentrates on how tactical decision makers can benefit from an integrated system model. The method is proved in a real industrial case in the railway sector.

制造系统受到不断变化的条件的影响，这些条件是由于外部原因（例如需求变化）和自然系统演变（例如机器退化、操作员技能提升）造成的。在战术层面，生产工程师面临着不断提高系统性能的挑战。在战略层面，制造公司必须监控系统状态并主动识别重新配置操作，以确保系统适应不断变化的竞争场景。介绍了一种基于分析模型的新型数字孪生，用于制造系统嵌入评估联合参数变化的性能评估。这项工作特别关注战术决策者如何从集成系统模型中受益。