Accelerating the Industrial Internet of Things
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Cutting-edge Predictive Analytics for HIROTEC Group

ThingWorx (PTC)
Cutting-edge Predictive Analytics for HIROTEC Group
Production - Manufacturing
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.
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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.
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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:
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Mature (technology has been on the market for > 5 years)
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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.
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.
Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking.
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
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