Reliability Master Lectures
主題 1: “Reflection on My 38-Year Reliability Practices”38 年可靠度實務反思
主題 2: “Warranty Prediction and Early Detection Methods”保固預測的核心技術框架與早期偵測方法
A warranty data format/structure typically known as the “Nevada Table” used by many industries is explained. Various methods are discussed for three major topics in warranty data analysis. The first topic is the prediction of number of warranty returned parts in the next 6-month or 1-year from today. This helps companies budget production and service parts for inventory control and warranty cost estimation. The second topic is the evaluation of the current warranty policy for potentially extending it from, say, 3 years to 7 years for extended warranty. This helps companies to judge if they could offer extended warranty to be more competitive in the industry or opportunities they still need to improve on and by how much. The third topic is the application of Z-MR chart to provide early alert of warranty issues when they just popped with limited numbers in the field. This can help early detection of major issues and initiate countermeasures earlier.
Julius 是一位在汽車與醫療產業擁有 40 年深厚資歷的品質與可靠度領導者。他曾於三星(Samsung)及飛雅特克萊斯勒(FCA)擔任總監級職務,並在任內建立了一套全球性的可靠度標準。他目前擔任一家財星 500 強企業的高級首席顧問,且曾任教於普渡大學(Purdue)與韋恩州立大學(Wayne State)。作為進階工程統計學領域公認的專家,他亦是美國品質學會(ASQ)獎項的得主
09:30-10:00 報到
10:00-12:00 講座:38 年可靠度實務反思
12:00-13:00 午餐
13:15-14:00 皮托科技 分享
14:00-17:00 講座:保固預測的核心技術框架與早期偵測方法