{"title":"制造业建模:用回归分析选择参数","authors":"A. T. Bon, J. Ogier, A. M. Razali","doi":"10.1109/AMS.2007.65","DOIUrl":null,"url":null,"abstract":"The manufacturing industries are forced to meet the demand of the end users in many different aspects especially to reduce the number of defects. Since then, the manufacturers have adopted many strategies in order to achieve zero defect end products. Therefore, this research is an early attempt to present a proper method for manufacturers to achieve their goal starting from parameters selection and then optimization to control the belt line moulding production process. We apply regression analysis to make parameters selection and then used the best variables selected to optimize or in this case to minimize defects in belt line moulding process. The findings from this study will serve as a useful evidence and applicability of the proposed methodology","PeriodicalId":198751,"journal":{"name":"First Asia International Conference on Modelling & Simulation (AMS'07)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling in Manufacturing Industry: Parameters Selection Using Regression Analysis\",\"authors\":\"A. T. Bon, J. Ogier, A. M. Razali\",\"doi\":\"10.1109/AMS.2007.65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The manufacturing industries are forced to meet the demand of the end users in many different aspects especially to reduce the number of defects. Since then, the manufacturers have adopted many strategies in order to achieve zero defect end products. Therefore, this research is an early attempt to present a proper method for manufacturers to achieve their goal starting from parameters selection and then optimization to control the belt line moulding production process. We apply regression analysis to make parameters selection and then used the best variables selected to optimize or in this case to minimize defects in belt line moulding process. The findings from this study will serve as a useful evidence and applicability of the proposed methodology\",\"PeriodicalId\":198751,\"journal\":{\"name\":\"First Asia International Conference on Modelling & Simulation (AMS'07)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First Asia International Conference on Modelling & Simulation (AMS'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMS.2007.65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First Asia International Conference on Modelling & Simulation (AMS'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2007.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling in Manufacturing Industry: Parameters Selection Using Regression Analysis
The manufacturing industries are forced to meet the demand of the end users in many different aspects especially to reduce the number of defects. Since then, the manufacturers have adopted many strategies in order to achieve zero defect end products. Therefore, this research is an early attempt to present a proper method for manufacturers to achieve their goal starting from parameters selection and then optimization to control the belt line moulding production process. We apply regression analysis to make parameters selection and then used the best variables selected to optimize or in this case to minimize defects in belt line moulding process. The findings from this study will serve as a useful evidence and applicability of the proposed methodology