{"55222":{"#nid":"55222","#data":{"type":"event","title":"Warranty Prediction Based on Auxiliary Use-rate Information","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETITLE:\u003C\/strong\u003E\u0026nbsp; Warranty Prediction Based on Auxiliary Use-rate Information\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESPEAKER:\u003C\/strong\u003E Professor William Q. Meeker\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EABSTRACT:\u003C\/strong\u003E \u003C\/p\u003E\u003Cp\u003EUsually the warranty data response used to make predictions\nof future failures is the number of weeks (or another unit of real\ntime) in\nservice. Use-rate information usually is not available (automobile\nwarranty\ndata are an exception, where both weeks in service and number of miles\ndriven\nare available for units returned for warranty repair). With new\ntechnology,\nhowever, sensors and smart chips are being installed in many modern\nproducts\nranging from computers and printers to automobiles and aircraft\nengines. Thus\nthe coming generations of field data for many products will provide\ninformation\non how the product has been used and the environment in which it was\nused. This\npaper was motivated by the need to predict warranty returns for a\nproduct with\nmultiple failure modes. For this product, cycles-to-failure\/use-rate\ninformation was available for those units that were connected to the\nnetwork.\nWe show how to use a cycles-to-failure model to compute predictions and\nprediction intervals for the number of warranty returns. We also\npresent\nprediction methods for units not connected to the network. In order to\nprovide\ninsight into the reasons that use-rate models provide better\npredictions, we\nalso present a comparison of asymptotic variances comparing the\ncycles-to-failure and time-to-failure models.\u0026nbsp;\u003Cbr \/\u003E\n\u003Cbr \/\u003E\nBio: \u0026nbsp; William Q. Meeker is a Professor of Statistics and\nDistinguished Professor of Liberal Arts and Sciences at Iowa State University.\nHe is a Fellow of the\nAmerican Statistical Association (ASA) and the American Society for\nQuality\n(ASQ) and a past Editor of \u003Cem\u003ETechnometrics\u003C\/em\u003E. He is co-author of\nthe books \u003Cem\u003EStatistical\nMethods for Reliability Data\u003C\/em\u003E with Luis Escobar (1998), and \u003Cem\u003EStatistical\nIntervals: A Guide for Practitioners\u003C\/em\u003E with Gerald Hahn (1991), six\nbook\nchapters, and of numerous publications in the engineering and\nstatistical\nliterature.\u0026nbsp; He has won the ASQ Youden\nprize four times and the ASQ Wilcoxon Prize three times. He was\nrecognized by\nthe ASA with their Best Practical Application Award in 2001 and by the\nASQ\nStatistics Division\u2019s with their W.G. Hunter Award in 2003. In 2007 he\nwas\nawarded the ASQ Shewhart medal. He has done research and consulted\nextensively\non problems in reliability data analysis, warranty analysis,\nreliability test\nplanning, accelerated testing, nondestructive evaluation, and\nstatistical\ncomputing.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWarranty Prediction Based on Auxiliary Use-rate Information\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Warranty Prediction Based on Auxiliary Use-rate Information"}],"uid":"27187","created_gmt":"2010-04-05 09:07:53","changed_gmt":"2016-10-08 01:51:13","author":"Anita Race","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2010-04-08T12:00:00-04:00","event_time_end":"2010-04-08T13:00:00-04:00","event_time_end_last":"2010-04-08T13:00:00-04:00","gmt_time_start":"2010-04-08 16:00:00","gmt_time_end":"2010-04-08 17:00:00","gmt_time_end_last":"2010-04-08 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}