Sand C, Meiners M, Daberkow J, Franke J (2016)
Publication Type: Conference contribution
Publication year: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 224-227
Conference Proceedings Title: 2016 6th International Electric Drives Production Conference, EDPC 2016 - Proceedings
Event location: Nuremberg, DEU
ISBN: 9781509029082
DOI: 10.1109/EDPC.2016.7851338
Industrial manufacturing and assembly aim to realize a wide range of product variance at high quality standards. [7] The fabrication processes are commonly organized as workshop production or chained production systems, besides standalone machines. [3][4] A lot of process data is generated by every single machine, yet it is hardly used for process optimization. Depending on the manufacturing IT, process data of series production is stored within databases optimized for traceability, whereas standalone machines and machines within workshop production are usually not connected to a common database. The required process data is either stored on the assembly machine itself or inside a local database. [9] The identification of interdependences of each single assembly process and the quality of the finished good is necessary for advanced optimization. Due to the decentralized process data storage, data mining analysis is taking a huge amount of time to find and prepare the process and quality data, especially in workshop production. To enable process monitoring and holistic optimization based on data mining methods in workshop production, a methodology is required to extract, transform and store process data like pressing curves and quality data. Therefore, this paper provides a concept for a virtual process data linkage of assembly stations to enable data mining inside workshop production, which is also able to cope with chained production systems and standalone machines. For further analysis of interdependencies of assembly presses, a dynamic envelope curve is developed for advanced monitoring and optimization as novel methodology.
APA:
Sand, C., Meiners, M., Daberkow, J., & Franke, J. (2016). Concept for a virtual process data linkage of assembly stations and a dynamic envelope curve for process monitoring. In 2016 6th International Electric Drives Production Conference, EDPC 2016 - Proceedings (pp. 224-227). Nuremberg, DEU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Sand, Christian, et al. "Concept for a virtual process data linkage of assembly stations and a dynamic envelope curve for process monitoring." Proceedings of the 6th International Electric Drives Production Conference, EDPC 2016, Nuremberg, DEU Institute of Electrical and Electronics Engineers Inc., 2016. 224-227.
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