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- W4313443663 abstract "With the increase of competition in the market, the focus of manufacturing industries is to improve their production in every aspect. There might be a deviation in the processes happening in the manufacturing industry with time. Hence efficient monitoring of processes helps to understand how the process is progressing and predicts where current operations and practices will lead. From a quality perspective, knowing what trends are going on in the assembly lines allows us to make strategic decisions on improving the processes and meeting the quality standards. Business Intelligence (BI) is an aspect of Industry 4.0 that helps to capture and analyze a large amount of data generated from machines that are connected through IoT. In this work, the trend of assembly line processes like torqueing, pressing, leak testing, performance testing, the load applied, etc., are monitored, and visualized using a dedicated BI software with the data captured from machines and sensors. The developed visuals suggest the general trend of processes and can be used to make data driven decisions for the process. Trend analysis can be used as an initial study before implementing Statistical Process Control improvement and quality verification in assembly lines. The deviation in the processes monitored enables us to take corrective actions to improve the process using statistical and process control techniques." @default.
- W4313443663 created "2023-01-06" @default.
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- W4313443663 date "2023-01-01" @default.
- W4313443663 modified "2023-10-16" @default.
- W4313443663 title "Power of Data Visualization in Industry 4.0: Leveraging Quality Management" @default.
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- W4313443663 doi "https://doi.org/10.1007/978-981-19-6945-4_44" @default.
- W4313443663 hasPublicationYear "2023" @default.
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