@inproceedings{Eger.2019,
 abstract = {Multi-stage production systems concede for low error and failure margins within every single machining and assembly step to not degrade product quality. Especially during multi-stage production of rotating parts, minor defects during a single step can corrupt a workpiece beyond repair. Since multistage production systems are complex, inter-connected chains of machining steps, a global approach to handling and compensating error emergence and propagation is for reaching Zero-Defect Manufacturing indispensable. We introduce Part Variation Modeling within a knowledge capturing platform to monitor centrally gathered metrological data for deviations. Further, a parametric model is presented allowing for description of rotating parts and enabling identification of deviations at every stage. Based on our inter-stage correlation analysis technique, the parametric model enables description of Part Variation Modes of a piece given current machine states and historic deviation likelihood as will be presented.},
 author = {Eger, <NAME> <NAME> <NAME> Reiff, <NAME> Colledani, <NAME> <NAME>},
 booktitle = {Industrial Technology (ICIT 2019): 2019 IEEE International Conference on},
 pages = {1017--1022},
 publisher = {IEEE},
 title = {Part Variation Modeling in Multi-Stage Production Systems for Zero-Defect Manufacturing},
 year = {2019}
}

