Visual Data Analysis of Production Quality Data for Aluminum Casting

Date
2021-01-05
Authors
Jekic, Nikolina
Mutlu, Belgin
Schreyer, Manuela
Neubert, Steffen
Schreck, Tobias
Journal Title
Journal ISSN
Volume Title
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Volume
Number/Issue
Starting Page
1487
Ending Page
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Abstract
Today’s manufacturing industry is shaped by the Industry 4.0 vision, which is to increase the number of individual goods produced while minimizing the production costs and time. To increase the production outcome and quality, users need to continuously monitor and adjust the entire process. While the recent advances in sensor technology can help users to collect, produce and exchange data, human beings are often overwhelmed by the amount of data being collected. Still, the human visual system is a powerful tool that can be used to decode and process large datasets. To make intelligent use of this ability, we have developed an interactive visual data analysis tool called ADAM that can support production data exploration in the aluminum industry. Furthermore, we demonstrate the effectiveness of our tool using real production data and present insights which could be gained from use of our tool by domain experts.
Description
Keywords
Interactive Visual Analytics and Visualization for Decision Making, aluminum casting, production quality, visual data analysis
Citation
Extent
9 pages
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Geographic Location
Time Period
Related To
Proceedings of the 54th Hawaii International Conference on System Sciences
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
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