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IoT-Driven Data Optimization: A Case Study on Service Thread

Particle

Service Thread, a leading American manufacturer of commercial thread and yarn, faced significant challenges in monitoring and analyzing their factory performance. With over 3,000 spindles across 115,000ft2 of floor space and 24 different machine types, the company struggled to effectively determine the actual utilization percentage of their factory. The traditional method of frequent and selective in-person inspections of the machines was not only time-consuming but also lacked accuracy. The company was in dire need of a solution that could provide real-time, accurate data on machine utilization to help them make informed business decisions and optimize their operations.

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