Tero Laakso, M. Johnsson, Tommi Johtela, J. Smed, O. Nevalainen
{"title":"PCB组装中生产时间的估算","authors":"Tero Laakso, M. Johnsson, Tommi Johtela, J. Smed, O. Nevalainen","doi":"10.1142/S0960313102000400","DOIUrl":null,"url":null,"abstract":"Several control problems of PCB assembly industry involve the estimation of the component placement times for various different placement robots. A standard approach, widely used in scientic literature, is to let the time to be a linear function of the number of components. In this paper, we demonstrate that a more realistic model should include additional parameters (e.g., the number of different component types and the board size). Linear multiregression indicates that the coefficient of determination for the improved model is over 90 percent.","PeriodicalId":309904,"journal":{"name":"Journal of Electronics Manufacturing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Estimating the Production Times in PCB Assembly\",\"authors\":\"Tero Laakso, M. Johnsson, Tommi Johtela, J. Smed, O. Nevalainen\",\"doi\":\"10.1142/S0960313102000400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several control problems of PCB assembly industry involve the estimation of the component placement times for various different placement robots. A standard approach, widely used in scientic literature, is to let the time to be a linear function of the number of components. In this paper, we demonstrate that a more realistic model should include additional parameters (e.g., the number of different component types and the board size). Linear multiregression indicates that the coefficient of determination for the improved model is over 90 percent.\",\"PeriodicalId\":309904,\"journal\":{\"name\":\"Journal of Electronics Manufacturing\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electronics Manufacturing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S0960313102000400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electronics Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0960313102000400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Several control problems of PCB assembly industry involve the estimation of the component placement times for various different placement robots. A standard approach, widely used in scientic literature, is to let the time to be a linear function of the number of components. In this paper, we demonstrate that a more realistic model should include additional parameters (e.g., the number of different component types and the board size). Linear multiregression indicates that the coefficient of determination for the improved model is over 90 percent.
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