An array of aids is emerging for engineers who must meet the rapid growth of standards for quality management. SPSS Inc. has come out with TrialRun(reg) Windows software for design of experiments (DOE). The product offers 41 design methods for DOE, a branch of statistics that helps reduce variation and costs in manufacturing. Included are Taguchi, Latin Square, Central Composite, and Optimal. Trial Run evaluates your responses to a series of questions and leads you to the optimal design for your situation. To see Trial Run in action, visit www.spss.com/software/TrialRun/ on the Internet. Meanwhile, the third edition of the manual for the auto industry's QS-9000 series of standards is now available. Among additions are new test-laboratory requirements for in-house laboratories of suppliers. For more information go to www.aiag.org. Quality Resources (www.qualityresources.com) has updated two of its most popular books. The second edition of "SPC Simplified Workbook" provides case studies and exercises in statistical process control. The eighth edition of "Baldrige Award Winning Quality," by Mark Graham Brown, contains this year's revised criteria and a new chapter on preparing for a site visit from the board of Baldrige examiners.
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.