Fill Your Manufacturing Data Blind Spots
for better production decisions and the most complete data set for AI Initiatives
Empowering Industry 4.0 Smart Manufacturing
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Digital Data Integration
Despite the promise of Industry 4.0, only a fraction of manufacturers (25%) have successfully integrated digital data across their operations, hindering the seamless flow of information envisioned for smart manufacturing.
%
Legacy Analog Equipment
The majority of manufacturers (65%) still grapple with legacy analog equipment, posing a significant barrier to achieving the frictionless exchange of data crucial for realizing the potential of Industry 4.0 and smart manufacturing.
%
Manual Processes
Despite the advancements in digital technology, a majority (75%) of manufacturers still rely on manual processes, presenting a formidable obstacle in bridging the gap between real-time operations and data-driven decision-making. This hampers the efficient flow of information critical for maximizing value creation in modern manufacturing organizations and supply chains.
Decision Making and AI Requires a Complete Data Picture
An incomplete data picture impacts:
- Production and operations decisions for efficiency, quality and profitability
- AI initiatives will skew decision making based on only available data
Manufacturing Digital Blind Spots are Pervasive
(click on colored headers to toggle overlays)
Connected
Equipment and processes already integrated with digital systems (ERP, MES, MOM, BI Tools), providing real-time data.
Connectable
Devices and systems capable of digital integration but currently standalone, requiring minimal modifications to become connected.
Non-Digital
Legacy equipment and processes that are either manual or analog, which do not currently generate digital data automatically. This includes both non-instrumented equipment (traditional analog) and manual processes requiring human intervention for data collection.
Thinaer Fills Manufacturing Data Blind Spots
Thinaer offers transformative solutions for asset and raw material tracking and the digital twin of any machine. Its automated system can be completely stand-alone and even air gapped where regulations dictate but has a secure intermediary approach for secure data sharing and integrating with ERP systems. Filling manufacturing data blind spots has never been easier.
Real World Use Cases
Making IIoT Work to Revolutionize Manufacturing
Creating a Factory of the Future for a Fortune 100 DoD Manufacturer generated $30 Million in ROI
Tracking Machine Utilization to Reduce Equipment Downtime for an Aerospace Manufacturer led to 15% less unscheduled equipment downtime
Precision monitoring raw materials to reduce waste for Manufacturing company resulted in 9% reduction in raw material waste
Find Your Blind Spots
Free 30-Minute Blind Spot Workshop
Discover how to gather data from IIoT, RFID, and even manual “blind spot” operations • Includes security tips • Learn benefits of tracking not just location, but real-time visuality into production • See how this data leads to smart predictions • Learn how to use AI to analyze your data • 11 techniques to uncover data in the 75% of your manufacturing that’s currently invisible • 5 ways to source the best transformative data partner • and more!
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