{"title":"制造系统分解","authors":"A. Kusiak, W. Chow","doi":"10.1109/56.20430","DOIUrl":null,"url":null,"abstract":"An approach to decomposition of manufacturing systems known as the group technology (GT) is surveyed. GT makes it possible to cluster machines into machine cells and parts into part families. There are two basic methods used for solving the GT problem: classification and modeling. Two variations of the classification method, visual and coding, are briefly discussed. The matrix and mathematical programming formulations of the GT problem are presented along with algorithms for solving them. >","PeriodicalId":370047,"journal":{"name":"IEEE J. Robotics Autom.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"89","resultStr":"{\"title\":\"Decomposition of manufacturing systems\",\"authors\":\"A. Kusiak, W. Chow\",\"doi\":\"10.1109/56.20430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach to decomposition of manufacturing systems known as the group technology (GT) is surveyed. GT makes it possible to cluster machines into machine cells and parts into part families. There are two basic methods used for solving the GT problem: classification and modeling. Two variations of the classification method, visual and coding, are briefly discussed. The matrix and mathematical programming formulations of the GT problem are presented along with algorithms for solving them. >\",\"PeriodicalId\":370047,\"journal\":{\"name\":\"IEEE J. Robotics Autom.\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"89\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE J. Robotics Autom.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/56.20430\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE J. Robotics Autom.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/56.20430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An approach to decomposition of manufacturing systems known as the group technology (GT) is surveyed. GT makes it possible to cluster machines into machine cells and parts into part families. There are two basic methods used for solving the GT problem: classification and modeling. Two variations of the classification method, visual and coding, are briefly discussed. The matrix and mathematical programming formulations of the GT problem are presented along with algorithms for solving them. >
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