K. Bousmar, F. Monteiro, S. Dellagi, Z. Habbas, A. Dandache
{"title":"用ILP求解器对工业制造问题建模:以生产分析为例","authors":"K. Bousmar, F. Monteiro, S. Dellagi, Z. Habbas, A. Dandache","doi":"10.1109/ICM.2017.8268874","DOIUrl":null,"url":null,"abstract":"This paper presents the industrial manufacturing problem, by using the ILP (Integer Linear Programming) method, which will help us to get closer to the SAT (SATisfiability) of propositional formula that is a well-known to be a NP-Complete problem. The chosen problem for this paper is the production merchandise system that has a lot of constraints, which were studied, analyzed and modeled in ILP. Our purpose for those researches is to present this industrial problem in a SAT formula, because in these last decades, a promising approach has emerged for solving efficiently large size instances by using FPGA architectures. This paper follows so this last direction and proposes a new and original way to solve them by using Integer Linear Programming, which is close to SAT.","PeriodicalId":115975,"journal":{"name":"2017 29th International Conference on Microelectronics (ICM)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling industrial manufacturing problem using ILP solver : Case of production analysis\",\"authors\":\"K. Bousmar, F. Monteiro, S. Dellagi, Z. Habbas, A. Dandache\",\"doi\":\"10.1109/ICM.2017.8268874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the industrial manufacturing problem, by using the ILP (Integer Linear Programming) method, which will help us to get closer to the SAT (SATisfiability) of propositional formula that is a well-known to be a NP-Complete problem. The chosen problem for this paper is the production merchandise system that has a lot of constraints, which were studied, analyzed and modeled in ILP. Our purpose for those researches is to present this industrial problem in a SAT formula, because in these last decades, a promising approach has emerged for solving efficiently large size instances by using FPGA architectures. This paper follows so this last direction and proposes a new and original way to solve them by using Integer Linear Programming, which is close to SAT.\",\"PeriodicalId\":115975,\"journal\":{\"name\":\"2017 29th International Conference on Microelectronics (ICM)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 29th International Conference on Microelectronics (ICM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICM.2017.8268874\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 29th International Conference on Microelectronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM.2017.8268874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling industrial manufacturing problem using ILP solver : Case of production analysis
This paper presents the industrial manufacturing problem, by using the ILP (Integer Linear Programming) method, which will help us to get closer to the SAT (SATisfiability) of propositional formula that is a well-known to be a NP-Complete problem. The chosen problem for this paper is the production merchandise system that has a lot of constraints, which were studied, analyzed and modeled in ILP. Our purpose for those researches is to present this industrial problem in a SAT formula, because in these last decades, a promising approach has emerged for solving efficiently large size instances by using FPGA architectures. This paper follows so this last direction and proposes a new and original way to solve them by using Integer Linear Programming, which is close to SAT.