| Autor: |
Yang, Nan, Kornas, Thomas, Daub, Rüdiger |
| Zdroj: |
Procedia CIRP; January 2021, Vol. 99 Issue: 1 p526-530, 5p |
| Abstrakt: |
The production of lithium-ion batteries (LIBs) is characterized by the high level of complexity and uncertainty, thus a key performance indicator (KPI) system is needed to monitor and control this process. However, up to this point, the existing KPI system based on process capability indices (PCIs) is only applicable to large amounts of production data. Therefore, the prototype production stage at the beginning of ramp-up still needs to be considered separately, as there is not enough production data available to estimate the PCIs via traditional approaches during this period. This paper builds a KPI system for the prototype production stage based on the Bayesian estimation of and the method of adding dummy samples. At the end of this paper, an example is provided as an application result of the KPI system. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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