Читать книгу Design for Excellence in Electronics Manufacturing - Cheryl Tulkoff - Страница 44

Collecting and analyzing data on product performance, customer satisfaction, warranty, and field repairs is an essential element of a reliability program. Problems do not go away on their own if ignored. So, how can you know what to fix? How do you know if you are working on the most critical problems? How can you avoid the cost of building products with recurring problems that will have to be repaired later? That's where reliability analysis and prediction methods come in. Methods of reliability analysis and prediction include Pareto analysis, MTBF (BOM‐based, parts count), reliability growth modeling (design‐build‐test‐fix), CUSUM (cumulative sum charts) and trend charting, block diagrams, and most recently, automated design analysis (ADA) reliability physics predictions using software. A few of these methods are highlighted next.