UGS and its open PLM strategy got a big nod this week when auto giant General Motors Corp. named the company among its top suppliers for 2006.
UGS, the only IT supplier to be honored among the 64 winners, was recognized, according to GM officials, for the impact its Teamcenter Product Lifecycle Management software, NX CAD software, and Tecnomatix digital manufacturing software have had on helping GM transform its innovation processes. Specifically, UGS was lauded for helping GM reduce its up-front vehicle development time.
UGS and GM have long been partners around PLM software. GM had been working for years on deploying Teamcenter across its enterprise to facilitate collaboration and the sharing of design data, and in 2005, the pair extended their relationship to include UGS’ Tecnomatix digital manufacturing software for handling factory layout, simulation and planning.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
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.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.