The trend toward RFID automation solutions in production logistics and traceability applications is being driven by low-cost tags, the ability to store more information on tags, higher read distances, and the ability to present data more effectively to production systems.
Excellent point, Ann. Just reading through the scope of what's required in terms of pilots is likely to keep many companies sitting on the sidelines, despite the huge potential RFID can have on supply chain and manufacturing operations. I'm wondering if that's the reason RFID has been slower to make a mark than initially expected. While introduced with great fanfare and with promises of delivering transformative change, the actual implementations and pilots of companies doing real use cases with RFID has been somewhat disappointing, at least according to what I've read. Now I understand why.
Thanks, a very informative article. RFID seems like a simple idea, but it's surprisingly complex. You have to practically install a beta system to figure out whether it will benefit your operation, and what hardware, software, communications and system configurations you need.
A bold, gold, open-air coupe may not be the ticket to automotive nirvana for every consumer, but Lexus’ LF-C2 concept car certainly turned heads at the recent Los Angeles Auto Show. What’s more, it may provide a glimpse of the luxury automaker’s future.
The complexity of diesel engines means optimizing their performance requires a large amount of experimentation. Computational fluid dynamics (CFD) is a very useful and intuitive tool in this, and cold flow analysis using CFD is an ideal approach to study the flow characteristics without going into the details of chemical reactions occurring during the combustion.
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