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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/23db438f1fb0ad0623233c997926c96af/isw-bibliothek",         
         "tags" : [
            "Null-Fehler-Fertigung,","Modelingsend:unibibliosend:unibibliosend:unibibliosend:unibiblio","Part","Variation","isw,"
         ],
         
         "intraHash" : "3db438f1fb0ad0623233c997926c96af",
         "interHash" : "c50b1b99f4aac05a22bea84617923420",
         "label" : "Part Variation Modeling in Multi-Stage Production Systems for Zero-Defect Manufacturing",
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         "date" : "2019-07-24 14:20:19",
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         "pub-type": "inproceedings",
         "booktitle": "2019 IEEE International Conference on Industrial Technology (ICIT)",
         "year": "2019", 
         "url": "https://ieeexplore.ieee.org/document/8754964/", 
         
         "author": [ 
            "Florian Eger","Philipp Tempel","Maria Chiara Magnanini","Colin Reiff","Marchello Colledani","Alexander Verl"
         ],
         "authors": [
         	
            	{"first" : "Florian",	"last" : "Eger"},
            	{"first" : "Philipp",	"last" : "Tempel"},
            	{"first" : "Maria Chiara",	"last" : "Magnanini"},
            	{"first" : "Colin",	"last" : "Reiff"},
            	{"first" : "Marchello",	"last" : "Colledani"},
            	{"first" : "Alexander",	"last" : "Verl"}
         ],
         "pages": "1017-1022","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.",
         "issn" : "2643-2978",
         
         "doi" : "10.1109/ICIT.2019.8754964",
         
         "bibtexKey": "eger2019variation"

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