After wrestling with Six Sigma principles for just about every company activity under former CEO James McNerney, 3M is largely abandoning it in research and development. Our features and podcasts below tell the story of that journey.
3M Shelves Six Sigma in R&D After wrestling with Six Sigma principles for just about every company activity under former CEO James McNerney, 3M is largely abandoning it in research and development. This story looks at that journey. Full Story A Culture of Innovation at 3M 3M staff vice president of research Larry Wendling speaks with DN editor-in-chief John Dodge about 3M’s culture of innovation. Full Story TRIZ, DFSS, Brainstorming: Which Methodology is Best? As brainstorming alternatives, the Theory of Inventive Problem Solving (TRIZ) and Design for Six Sigma (DFSS) are in the spotlight as controversial methodologies for innovation. What do you think is the best way to come up
with technological and commercial innovation? Read More
Reader Views on TRIZ There’s as many opinions about applying strict methodologies to R&D as
there are researchers and engineers. Few do not have at least a fairly strong opinion about the subject. Read these reader responses to DN Editor-in-Chief John Dodge's column on TRIZ (pronounced treez), and then make some of
your own. Read More
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.
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.
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.