{"title":"Production planning with joint resources usage semiconductor test manufacturing","authors":"Zhicong Zhang, M. Zhang, S. Niu, L. Zheng","doi":"10.1109/COASE.2005.1506744","DOIUrl":null,"url":null,"abstract":"A tester and qualified kits are used simultaneously to test a semiconductor product. One kit consists of six or seven components. Production planning in semiconductor testing is complex due to dependant resources requirement and intricate {product, tester, kit, component} qualification relationships. We formulate a multi-period production planning problem employing mixed integer programming (MIP) technique. We consider multiple matching ratios of jointly used testers and kits, allow kit reconfiguration and optimize capacity allocation at the level of kit components. We also conduct weight coefficient analysis to enable multiobjective optimization. Industrial implementation saves millions of dollars in kit purchasing and many man-hours.","PeriodicalId":181408,"journal":{"name":"IEEE International Conference on Automation Science and Engineering, 2005.","volume":"31 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Automation Science and Engineering, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COASE.2005.1506744","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
A tester and qualified kits are used simultaneously to test a semiconductor product. One kit consists of six or seven components. Production planning in semiconductor testing is complex due to dependant resources requirement and intricate {product, tester, kit, component} qualification relationships. We formulate a multi-period production planning problem employing mixed integer programming (MIP) technique. We consider multiple matching ratios of jointly used testers and kits, allow kit reconfiguration and optimize capacity allocation at the level of kit components. We also conduct weight coefficient analysis to enable multiobjective optimization. Industrial implementation saves millions of dollars in kit purchasing and many man-hours.