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Visualizing the sewing site with IoT | Case study of Nichihan Fiber

From "intuition" and "experience" to data-driven optimal placement.

A sewing factory, Nichihan Textile, that handles Okinawa's traditional "Kariyushi wear." Progress management was completely analog, and it was only through the operator's "gut feeling" and handwritten daily reports that we could identify where bottlenecks were occurring. Kaizen Maru was introduced in the final assembly process of shirt production. It was a decisive factor that it could be flexibly customized even in a complex sewing environment where processes frequently change, and that there was ample hands-on support available for sites lacking expertise. Currently, output is automatically collected via sensors and visualized in real-time on monitors. With the management side having "objective numbers," misconceptions like "that person is slow" have been dispelled, deepening trust in the workplace. The design is simple enough for anyone to understand the situation at a glance. If you are struggling with complex processes in small-batch production, we also offer free consultations, so please feel free to reach out.

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