{"title":"现实的生产调度- 1","authors":"Eva Vallada, Rubén Ruiz","doi":"10.1109/IESM.2015.7380138","DOIUrl":null,"url":null,"abstract":"The gap between scheduling theory and practice has been long known, recognized and studied. More often than not, elaborated scheduling models and procedures are proven to be extremely effective in controlled and synthetic laboratory problems but rarely applied in practical manufacturing scheduling. Real scheduling problems are varied, big and rich in the number of constraints and special characteristics.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Realistic manufacturing scheduling - 1\",\"authors\":\"Eva Vallada, Rubén Ruiz\",\"doi\":\"10.1109/IESM.2015.7380138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The gap between scheduling theory and practice has been long known, recognized and studied. More often than not, elaborated scheduling models and procedures are proven to be extremely effective in controlled and synthetic laboratory problems but rarely applied in practical manufacturing scheduling. Real scheduling problems are varied, big and rich in the number of constraints and special characteristics.\",\"PeriodicalId\":308675,\"journal\":{\"name\":\"2015 International Conference on Industrial Engineering and Systems Management (IESM)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Industrial Engineering and Systems Management (IESM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IESM.2015.7380138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESM.2015.7380138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The gap between scheduling theory and practice has been long known, recognized and studied. More often than not, elaborated scheduling models and procedures are proven to be extremely effective in controlled and synthetic laboratory problems but rarely applied in practical manufacturing scheduling. Real scheduling problems are varied, big and rich in the number of constraints and special characteristics.