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.
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.
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.
CENIT AG is negotiating the acquisition of all shares in Keonys S.A.S., Paris, one of the leading European PLM specialists based on the software products of Dassault Systèmes.
The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.
Keeping products clean is becoming a more significant part of manufacturing as standards for cleanliness, deburring, and finish grow more stringent.
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.
The combination of metrology hardware, adaptive CAM software and connectivity to plant-wide systems is making additive hybrid machine tool applications ever more practical on the shop floor.
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.
Industry 4.0 is often referred to as smart manufacturing, where technology enables interconnectivity for machines and manufacturing software and systems. It also provides “Big Data,” increased visibility and remote access to manufacturing assets.