Americas, Special Report, Opinion

[Netflixltoort]

Most people don't want to live in a cave, but with some exceptions, they don't want to be overexposed either. If a space is in need of lots of artificial lighting, electric outlets and extension cords, or a large investment in window coverings, the overall design could be a problem. Setting up a game room can be a lot of fun -- but it's a waste of space if you're not going to use it. Having an office, sewing, craft, reading or multi-purpose room may seem like a great idea. But if it becomes a dim dumping ground of boxes and bags with a closed door, it's a project in need of completion that likely will inspire dread. You probably won't use a family game room if your family doesn't play games, and you won't want to spend time in a recreation room that looks like a museum. Keep it real about what works for you and what you already do, instead of what you could see yourself doing in a space.|Prior to technology improvements, single dimension or 1D tolerance stack-ups were used. A thorough engineer would perform multiple 1D stacks in a variety of directions to attempt to predict effect of tolerance value changes on overall product quality. By using statistics, engineers can understand how to optimize tolerances, especially in complex mechanisms. These optimizations can create more cost-effective, on-schedule products and reduce scrap, rework, and delay. With statistical tolerance analysis, manufacturers can better understand design intent and know how changing tolerances during production can impact product quality. In order to balance assembly performance against manufacturing costs today's engineers use optimization software to identify dimensions that do not affect performance. Tolerances can be traded off on critical surfaces. This tolerance optimization improves product quality without increasing costs. It also streamlines development cycles by requiring fewer physical prototypes. For companies that make millions of a single assembly per year, such as a keyboard supplier to Dell or HP, having a statistical analysis can predict the number of defects per million and easily measure against the desired sigma value.




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