That kind of integration from supplier to plant to customer has been going on for a few years now in automation and control. It drives the IT folks nuts, since the network now goes beyond the plant, bringing up security issues. When you bring in your suppliers, you have strangers on your network.
Good point, Rob. We tend to stay so focused on the engineering aspects and CAD interoperability has been a huge challenge for such a long time. But going a step beyond and integrating production and manufacturing is a big step in terms of tying the overall organization together around product development as well as a means of creating efficiencies, not to mention, closer ties to suppliers.
Using Elysium's technology, Renault Sport F1 has created a supplier portal that integrates with its ERP system and product data management system and allows suppliers using different CAD programs to exchange data and models quickly and accurately without manual translation or cleanup on Renault's end.
That's impressive on a number of levels. That's a bunch of integration and collaboration. I can see that CAD interoperability is a step forward here, but it looks like Renault has already taken big steps to integrate its suppliers.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.