Cutting-edge Predictive Analytics for HIROTEC Group

ThingWorx (PTC)

Cutting-edge Predictive Analytics for HIROTEC Group

ThingWorx (PTC) ThingWorx (PTC)
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OVERVIEW
Hirotec needed to ensure continuous operations and to minimize unplanned downtime in its manufacturing facilities. Unplanned downtime is costly and compromises Hirotec's ability to deliver its goods to customers on time.
HIROTEC Group is a $1.6B Japanese corporation that is globally recognized as a premier automotive manufacturing equipment and parts supplier. With over 85 years of mass production experience and engineering discipline and 26 facilities in nine countries around the world, HIROTEC Group designs and builds roughly 7 million doors and 1.5 million exhaust systems a year, making it one of the largest private production companies in today’s global automotive market.
Hirotec decided to partner with PTC and selected its Thingworx Technology Platform and KEPServerEX agent to rapidly develop and deploy IoT software and integrate it with its manufacturing systems. PTC with its IT capabilities proved to be an ideal partner to complement Hirotec's operations technology skillset.

HIROTEC also decided to use HPE Edgeline servers to support edge analytics. The ruggedized HPE Edgeline servers’ small footprint minimized the need for HIROTEC to sacrifice valuable factory floor space. In addition, the servers do not require specialized cooling to operate.

To get a free demo of ThingWorx 8: http://solutions.iotone.com/thingworx
IOT
Mature (technology has been on the market for > 5 years)
OPERATIONAL IMPACT
Through the Thingworx platform, HIROTEC gained real-time visibility into its business operations, which in turn allows the company to address issues that impact its efficiency and throughput.

The solution also enables HIROTEC to perform sophisticated analysis of historical data so that it can better understand production facility performance and ways to drive improvements.
HIROTEC will be able to build on the solution to enable augmented reality applications to further advance its manufacturing capabilities and efficiencies — completing its transformation from smart factory to smart enterprise.
The need to invest in new Computer Numerical Control (CNC) machine via analysis that supported improved efficiencies and elimination of process bottlenecks was eliminated.
QUANTITATIVE BENEFIT
There was a 100% reduction in time to manually inspect production systems, enabling technicians to re-invest that time in tasks that drive more value to production workflows.
TECHNOLOGY

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