Many companies struggle to use available field failure data to proactively address risks to their profitability and success. Analyzing field failure data appropriately can help to understand and characterize the reliability of products in the field. The resulting models can then be used to forecast how many units are likely to fail in the future. This is essential for projecting warranty costs and potential failures that may impact customer satisfaction.
During this live webinar Steven will provide specific knowledge required to develop a forecast of future expected failures both within the warranty period and beyond. Although software will be typically used for this task, the underlying concepts and methods are explained in some detail. After attending this webinar, you will be equipped to apply life data analyses to forecast future failures as well as handle common modeling issues such as the presence of non-homogeneous groups in the data.
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control. Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as to estimate and reduce warranty. In addition to providing consulting services, Steve regularly conducts workshops in industrial statistical methods for companies worldwide.