{"title":"Reliability Analysis of a RF Product with Improved Quality for the Prediction of Failure Probabilities","authors":"P. Leduc, Peter Krenz, R. Niemeier","doi":"10.1109/EuroSimE52062.2021.9410860","DOIUrl":null,"url":null,"abstract":"The simulation-based analyses of production yield losses are still in the early stage. With the possibility to use input parameters with a stochastic distribution, taking in account the manufacturing tolerances, and with the ability to calculate failure probabilities these analyses become nowadays possible.The approach shown here for a RF product can give useful insights for the reduction of the production yield loss, ideally already in the early design stage of the manufacturing process itself.","PeriodicalId":198782,"journal":{"name":"2021 22nd International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 22nd International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EuroSimE52062.2021.9410860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The simulation-based analyses of production yield losses are still in the early stage. With the possibility to use input parameters with a stochastic distribution, taking in account the manufacturing tolerances, and with the ability to calculate failure probabilities these analyses become nowadays possible.The approach shown here for a RF product can give useful insights for the reduction of the production yield loss, ideally already in the early design stage of the manufacturing process itself.