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.
| Original language | English |
|---|---|
| Pages (from-to) | 777-782 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 93 |
| DOIs | |
| Publication status | Published - 22 Dec 2020 |
| Externally published | Yes |
| Event | 53rd CIRP Conference on Manufacturing Systems, CIRP CMS 2020 - Virtual Conference, Chicago, United States Duration: 1 Jul 2020 → 3 Jul 2020 Conference number: 53 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Manufacturing simulation
- Multistage manufacturing system
- Pseudo error
- Quality inspection
- Quality management
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