{"title":"用模糊逻辑规划元胞制造系统","authors":"T. J. Wang, K. Chaharbaghi","doi":"10.1049/IC:19951562","DOIUrl":null,"url":null,"abstract":"Cellular manufacturing principles allied with the single-cycle ordering concept is a promising way of reducing the complexity of manufacturing systems and speeding up the flow of material and information. Such an alliance calls for planning the operations of cellular manufacturing systems for flexible output and resource levels. This paper describes the way in which fuzzy logic can be applied for this purpose. (5 pages)","PeriodicalId":250927,"journal":{"name":"Intelligent Manufacturing Systems","volume":"195 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PLANNING CELLULAR MANUFACTURING SYSTEMS USING FUZZY LOGIC\",\"authors\":\"T. J. Wang, K. Chaharbaghi\",\"doi\":\"10.1049/IC:19951562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cellular manufacturing principles allied with the single-cycle ordering concept is a promising way of reducing the complexity of manufacturing systems and speeding up the flow of material and information. Such an alliance calls for planning the operations of cellular manufacturing systems for flexible output and resource levels. This paper describes the way in which fuzzy logic can be applied for this purpose. (5 pages)\",\"PeriodicalId\":250927,\"journal\":{\"name\":\"Intelligent Manufacturing Systems\",\"volume\":\"195 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Intelligent Manufacturing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/IC:19951562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent Manufacturing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/IC:19951562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PLANNING CELLULAR MANUFACTURING SYSTEMS USING FUZZY LOGIC
Cellular manufacturing principles allied with the single-cycle ordering concept is a promising way of reducing the complexity of manufacturing systems and speeding up the flow of material and information. Such an alliance calls for planning the operations of cellular manufacturing systems for flexible output and resource levels. This paper describes the way in which fuzzy logic can be applied for this purpose. (5 pages)