A. Ahari, Jan Novacek, A. Viehl, O. Bringmann, W. Rosenstiel
{"title":"CTEF:协同技术评估框架","authors":"A. Ahari, Jan Novacek, A. Viehl, O. Bringmann, W. Rosenstiel","doi":"10.1109/SYSENG.2018.8544418","DOIUrl":null,"url":null,"abstract":"The adoption of advanced semiconductor technologies in automotive electronics introduces new qualification challenges. In this paper, we propose a framework that provides an environment for all partners in the supply chain to collaborate in seamless assessment of a new technology during all development phases. The framework enables the assessment of system characteristics such as reliability and power without requiring any intellectual property exchange. The proposed methodology adapts the continuous change of internal models automatically, supply chains and parameter interdependencies during the different design phases. It also supports early decision-making throughout system planning and the identification of alternative suppliers. The framework’s applicability has been evaluated exemplary by assessing the reliability of an autonomous car. We show that the overall car reliability can be improved by up to 7.4% by selecting appropriate suppliers and technologies.","PeriodicalId":192753,"journal":{"name":"2018 IEEE International Systems Engineering Symposium (ISSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CTEF: Collaborative Technology Evaluation Framework\",\"authors\":\"A. Ahari, Jan Novacek, A. Viehl, O. Bringmann, W. Rosenstiel\",\"doi\":\"10.1109/SYSENG.2018.8544418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The adoption of advanced semiconductor technologies in automotive electronics introduces new qualification challenges. In this paper, we propose a framework that provides an environment for all partners in the supply chain to collaborate in seamless assessment of a new technology during all development phases. The framework enables the assessment of system characteristics such as reliability and power without requiring any intellectual property exchange. The proposed methodology adapts the continuous change of internal models automatically, supply chains and parameter interdependencies during the different design phases. It also supports early decision-making throughout system planning and the identification of alternative suppliers. The framework’s applicability has been evaluated exemplary by assessing the reliability of an autonomous car. We show that the overall car reliability can be improved by up to 7.4% by selecting appropriate suppliers and technologies.\",\"PeriodicalId\":192753,\"journal\":{\"name\":\"2018 IEEE International Systems Engineering Symposium (ISSE)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Systems Engineering Symposium (ISSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYSENG.2018.8544418\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Systems Engineering Symposium (ISSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYSENG.2018.8544418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The adoption of advanced semiconductor technologies in automotive electronics introduces new qualification challenges. In this paper, we propose a framework that provides an environment for all partners in the supply chain to collaborate in seamless assessment of a new technology during all development phases. The framework enables the assessment of system characteristics such as reliability and power without requiring any intellectual property exchange. The proposed methodology adapts the continuous change of internal models automatically, supply chains and parameter interdependencies during the different design phases. It also supports early decision-making throughout system planning and the identification of alternative suppliers. The framework’s applicability has been evaluated exemplary by assessing the reliability of an autonomous car. We show that the overall car reliability can be improved by up to 7.4% by selecting appropriate suppliers and technologies.