Growing individualization of products up to lot-size-1 and high volatility of product mixes lead to new challenges in the manufacturing domain, including the need for frequent reconfiguration of the system and reacting to changing orders. Thus, apart from functional aspects, safety aspects of the production system as well as product quality assurance aspects must be addressed for flexible and reconfigurable manufacturing systems at runtime. To cope with the mentioned challenges, we present an integrated model-based approach SQUADfps (machine Safety and product QUAlity for flexible proDuction systems) to support the automatic conduct of the risk assessment of flexible production scenarios in terms of safety as well as the process-FMEA to ensure that the requirements w.r.t. the quality of the production process and the resulting product are met. Our approach is based on a meta-model which captures all information needed to conduct both risk assessment and process-FMEA dynamically during the runtime, and thus enables flexible manufacturing scenarios with frequent changes of the production system and orders up to a lot-size of one while guaranteeing safety and product quality requirements. The automatically generated results will assist human in making further decisions. To demonstrate the feasibility of our approach, we apply it to a case study.

中文翻译：

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SQUADfps：用于灵活生产系统的基于模型的集成机器安全和产品质量

越来越多的产品个性化到批量大小 1 和产品组合的高波动性给制造领域带来了新的挑战，包括需要频繁地重新配置系统和对不断变化的订单做出反应。因此，除了功能方面，生产系统的安全方面以及产品质量保证方面必须在运行时针对灵活和可重新配置的制造系统加以解决。为了应对上述挑战，我们提出了一种基于模型的集成方法 SQUADfps（柔性生产系统的机器安全和产品质量），以支持在安全和流程方面自动进行柔性生产场景的风险评估 - FMEA 以确保满足与生产过程和最终产品的质量有关的要求。我们的方法基于一个元模型，该模型捕获在运行期间动态进行风险评估和流程 FMEA 所需的所有信息，从而实现灵活的制造场景，生产系统和订单的频繁变化一方面保证安全和产品质量要求。自动生成的结果将帮助人类做出进一步的决定。为了证明我们方法的可行性，我们将其应用于案例研究。自动生成的结果将帮助人类做出进一步的决定。为了证明我们方法的可行性，我们将其应用于案例研究。自动生成的结果将帮助人类做出进一步的决定。为了证明我们方法的可行性，我们将其应用于案例研究。