{"title":"On the fidelity of the Ax+B equipment model for clustered photolithography scanners in fab-level simulation","authors":"J. R. Morrison","doi":"10.1109/WSC.2011.6147916","DOIUrl":null,"url":null,"abstract":"Linear and affine (Ax+B) models are commonly used to model equipment throughput in semiconductor wafer fabricator simulations. We endeavor to assess the quality of such models for the prohibitively expensive clustered photolithography scanner. The simulations demonstrate that such models are of varying quality. They can exhibit significant deviation from the system behavior when the simulation parameters, such as product mix and wafers per lot, change from those used to create the models. The error in throughput can range from about 4% to 60% as the number of wafers per lot varies from 24 to 1. These errors are of particular relevance for studies that consider a change to small lot sizes and high mix, as is predicted in the 450 mm era.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2011 Winter Simulation Conference (WSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSC.2011.6147916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Linear and affine (Ax+B) models are commonly used to model equipment throughput in semiconductor wafer fabricator simulations. We endeavor to assess the quality of such models for the prohibitively expensive clustered photolithography scanner. The simulations demonstrate that such models are of varying quality. They can exhibit significant deviation from the system behavior when the simulation parameters, such as product mix and wafers per lot, change from those used to create the models. The error in throughput can range from about 4% to 60% as the number of wafers per lot varies from 24 to 1. These errors are of particular relevance for studies that consider a change to small lot sizes and high mix, as is predicted in the 450 mm era.