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Japanese, German Innovators Broaden Work That Stars ‘Digital Companion’

In preparation for mass customization, for starters, Japanese and German tech research officials today committed to expanding their joint work to establish a “social-technical or maybe ‘cyber-social’ environment where ‘digital companions’ and production lines communicate with humans” working in manufacturing, Andreas Dengel said in an interview with Smart Manufacturing magazine here at the CeBIT (Centrum der Büroautomation und Informationstechnologie und Telekommunikation) fair.

Gap in industrial IoT stack presents edge challenges

Many people want to implement IoT in their factories, and with the abundance of IoT platform technologies out there, they think it’s a breeze. But many challenges await those who don’t think things through carefully—challenges for which traditional IoT platforms do not have effective solutions.

The Digitization of Modern Manufacturing

Today, the ideal factory can achieve levels of self-controlling (and perhaps self-learning) production processes, in which production reacts autonomously to changes or faults and takes appropriate measures.

Chrysler Implements Flexible Manufacturing

Challenged by an increasingly niche-oriented automotive market, The Chrysler Group (Auburn Hills, MI) must increase the number of models it offers while decreasing its capital investment. The company plans to offer 50% more models in 2009 compared to 2004, according to John Felice, VP of manufacturing, technology and global enterprise for Chrysler.

When is it best to make your own components?

Most manufacturers have relied on third-party vendors to make parts that are then incorporated into the final product. From automakers sourcing stereos and aircraft makers contracting for jet engines to a small bakery ordering plastic bags or a woodshop buying nails, producers of all types have supplemented their internal capabilities through a painstakingly developed supply chain of external vendors.

Taming the Most Detailed Product Data Imaginable

Some things are a given today. One is computing is cheap and powerful, and it is getting cheaper and more powerful. Another is the dropping price of industrial sensors. Combine this with easier ways of moving around data from those sensors and you get lots of data: Terabytes of data.