{"title":"具有不相交装置的两机流水车间调度问题","authors":"Andrzej Gnatowski, J. Rudy, Radosław Idzikowski","doi":"10.1109/SoSE50414.2020.9130513","DOIUrl":null,"url":null,"abstract":"We consider a variant of the Permutational Flow Shop Scheduling Problem with disjoint setups and makespan minimization. A mathematical model of the problem is presented and several properties on the feasibility of solutions are formulated. An elimination property is proposed, allowing to disregard up to 75% of the solution space. We also show an interesting connection between the number of feasible solutions and Catalan numbers. To solve the problem for a fixed job order, we propose two algorithms: Mixed-Integer Linear Programming exact formulation and a greedy heuristic algorithm. An empirical evaluation shows a promising efficiency of the heuristic, providing an optimal or near-optimal solutions for problem instances with low setup and job times time deviation.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"On two-machine Flow Shop Scheduling Problem with disjoint setups\",\"authors\":\"Andrzej Gnatowski, J. Rudy, Radosław Idzikowski\",\"doi\":\"10.1109/SoSE50414.2020.9130513\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider a variant of the Permutational Flow Shop Scheduling Problem with disjoint setups and makespan minimization. A mathematical model of the problem is presented and several properties on the feasibility of solutions are formulated. An elimination property is proposed, allowing to disregard up to 75% of the solution space. We also show an interesting connection between the number of feasible solutions and Catalan numbers. To solve the problem for a fixed job order, we propose two algorithms: Mixed-Integer Linear Programming exact formulation and a greedy heuristic algorithm. An empirical evaluation shows a promising efficiency of the heuristic, providing an optimal or near-optimal solutions for problem instances with low setup and job times time deviation.\",\"PeriodicalId\":121664,\"journal\":{\"name\":\"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SoSE50414.2020.9130513\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SoSE50414.2020.9130513","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On two-machine Flow Shop Scheduling Problem with disjoint setups
We consider a variant of the Permutational Flow Shop Scheduling Problem with disjoint setups and makespan minimization. A mathematical model of the problem is presented and several properties on the feasibility of solutions are formulated. An elimination property is proposed, allowing to disregard up to 75% of the solution space. We also show an interesting connection between the number of feasible solutions and Catalan numbers. To solve the problem for a fixed job order, we propose two algorithms: Mixed-Integer Linear Programming exact formulation and a greedy heuristic algorithm. An empirical evaluation shows a promising efficiency of the heuristic, providing an optimal or near-optimal solutions for problem instances with low setup and job times time deviation.