Abstract
From the operational perspective on manufacturing systems, disturbances related to product property (e.g. quality) can be seen as errors leading to longer production cycles, additional quality inspection and handling efforts, resulting in inefficiencies. Identification and analyzing the impact of different error types (e.g. pseudo errors) at an early process step have a significant influence on the overall process chain. Therefore, within this paper, a framework for a simulation-based assessment of quality inspection strategies and effect analysis of error classification on the overall manufacturing system with regard to selected key figures is developed. Moreover, the framework is applied to a use case from the electronic production with regard to different scenarios. Based on the simulation results, decision support is given to increase the overall manufacturing system performance.
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