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- W4379527131 abstract "The manufacturing industry consists of highly streamlined processes and mechanisms to produce high-quality units. But accidentally, a small number of units turn out to be defective and more units are damaged during shipping, packaging, etc. Overall, though the faulty units are minimal compared to the overall number of units manufactured, these defective units are a loss to the manufacturing company and lead to a loss in customer loyalty. The printer manufacturing industry has several manufacturing locations under its belt, which manufacture thousands of printers of various models and types with adherence to industry standards. So it involves data from several sources, i.e., manufacturing locations, warehouses, shipping companies, and the resellers themselves who report every defective unit returned to them. In this way, we can trace the route of the printer from the manufacturing location to the end customer to identify where and how the defects might have crept in. This way, they can increase the quality checks involved in that stage. This paper intends to identify and reduce the causes of defects in the printer manufacturing industry by analyzing data from returned printer units with the help of the Big Data technologies like Hadoop." @default.
- W4379527131 created "2023-06-07" @default.
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- W4379527131 date "2023-01-01" @default.
- W4379527131 modified "2023-10-06" @default.
- W4379527131 title "Damaged Units Return Investigation in Printer-Producing Industry Utilizing Big Data" @default.
- W4379527131 doi "https://doi.org/10.1007/978-3-031-15175-0_11" @default.
- W4379527131 hasPublicationYear "2023" @default.
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