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Power Better Business Decisions - Particle Industrial IoT Case Study
Functional Applications - Manufacturing Execution Systems (MES)
Functional Applications - Remote Monitoring & Control Systems
Business Operation
Factory Operations Visibility & Intelligence
Hardware Design & Engineering Services

The problem is, in order to determine the actual utilization percentage of their factory,Service Thread had to rely on frequent and selective in-person inspections of the machines.

However, the shortcomings of such a system were not lost on Service Thread. The inspectors would spend approximately 10 hours per week, or 500 hours per year, performing these analyses. Another concern with this method is the possibility of human error and its impact on overall shop performance. Finally, because the scope of the data was rather limited, their final estimates were not necessarily accurate.

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Service Thread is a leading American manufacturer of commercial thread and yarn. Their factory in Laurinburg, NC houses over 3,000 spindles (operating positions) across 115,000ft2 of floor space and 24 different machine types. In their efforts towards optimization, these variables stood as barriers to Service Thread’s effective monitoring and analysis of factory performance.

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Service Thread

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The team decided to design their very own hardware solution using the Particle Photon to gather data from the machine's existing sensors.

Logical Advantage’s final hardware solution is able to gather data from 16 spindles simultaneously. That data is then passed through the Particle Cloud and onto Microsoft’s Azure IoT Hub using Wi-Fi. Logical Advantage then built a simple, mobile app for spindle sensor provisioning.

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[Cost Reduction - Data Management]

Using long-term data collected from the pilot program, Service Thread estimates that this IoT solution will reduce their per-spindle operating costs by at least 50%.

With revenue potential of some departments of more than $800 per operating hour, even a ten percent increase in machinery uptime can make a huge difference to overhead, labor, and operational efficiency,

The company anticipates annual savings of approximately $117,000 from reduced maintenance overtime and overhead costs.

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