The rivalry between CAD/PLM competitors UGS and PTC is heating up, and the result for customers is not too shabby: Having access to content management capabilities as part of an integrated PLM suite.
PTC dipped its toes into this area of functionality a while back via its acquisition of content management leader Arbortext, and UGS recently announced the immediate availability of its own content management addition to its Teamcenter PLM family.
Teamcenter Content Management treats product-related documentation as an intrinsic part of the product record, according to UGS officials, and is designed to eliminate the manual, repetitive processes (read: oftentimes, error prone) associated with the creation of technical publications. With Teamcenter Content Management, companies can tackle a number of technical publishing projects, including user and owner manuals, parts catalogs, work instructions such as assembly/disassembly instructions, maintenance, repair and overhaul (MRO) repair manuals and general documents like estimates and product labels.
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.
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.