{"title":"装配时间序列相关的生产调度问题在玻璃瓶成型工艺中的应用","authors":"Chansiri Singhtaun, Thanaphat Nutchaphan","doi":"10.1145/3335550.3335587","DOIUrl":null,"url":null,"abstract":"In this research, a parallel identical machine scheduling problem with sequence-dependent setup time is applied in a glass container manufacturing plant. The production scheduling program is developed to provide the optimal production schedule for 82 products with 9 identical individual section machines in a forming process with a minimum makespan objective. The machine setup time depends on the sequence of products produced. By using Visual Basic for Applications in Excel, a mathematical model is developed from input data and imported data from a database. The problem is solved by branch and cut algorithm using OpenSolver and Premium Solver. The answers from the program are translated and illustrated in terms of tables and Gantt charts that report the production sequence and total makespan. The results show that OpenSolver has the capability to solve the problem of 20 products and 4 machines, which is the maximum problem size of the case study company when using a present production plan within 3.65 hours. A new production plan or schedule for 82 products with 9 machines using Premium Solver is also proposed. The new production schedules give 4.79% lower makespan within 74.25 minutes.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Application of Production Scheduling Problems with Sequence-Dependent Setup Time in a Glass Bottle Forming Process\",\"authors\":\"Chansiri Singhtaun, Thanaphat Nutchaphan\",\"doi\":\"10.1145/3335550.3335587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, a parallel identical machine scheduling problem with sequence-dependent setup time is applied in a glass container manufacturing plant. The production scheduling program is developed to provide the optimal production schedule for 82 products with 9 identical individual section machines in a forming process with a minimum makespan objective. The machine setup time depends on the sequence of products produced. By using Visual Basic for Applications in Excel, a mathematical model is developed from input data and imported data from a database. The problem is solved by branch and cut algorithm using OpenSolver and Premium Solver. The answers from the program are translated and illustrated in terms of tables and Gantt charts that report the production sequence and total makespan. The results show that OpenSolver has the capability to solve the problem of 20 products and 4 machines, which is the maximum problem size of the case study company when using a present production plan within 3.65 hours. A new production plan or schedule for 82 products with 9 machines using Premium Solver is also proposed. The new production schedules give 4.79% lower makespan within 74.25 minutes.\",\"PeriodicalId\":312704,\"journal\":{\"name\":\"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3335550.3335587\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3335550.3335587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
本文研究了玻璃容器制造工厂中具有序列相关设置时间的并行同机调度问题。以最小完工时间为目标,为82种产品和9台相同的独立型材机在一次成形过程中提供最优生产计划。机器设置时间取决于产品的生产顺序。在Excel中使用Visual Basic for Applications,根据输入数据和从数据库中导入的数据建立数学模型。采用OpenSolver和Premium Solver进行分支割算法求解。从程序的答案被翻译和说明的表格和甘特图,报告生产顺序和总完工时间。结果表明,OpenSolver有能力在3.65小时内解决20种产品和4台机器的问题,这是案例研究公司在使用现有生产计划时的最大问题规模。利用Premium Solver对9台机器的82种产品提出了新的生产计划或进度表。新的生产计划使完工时间在74.25分钟内降低了4.79%。
An Application of Production Scheduling Problems with Sequence-Dependent Setup Time in a Glass Bottle Forming Process
In this research, a parallel identical machine scheduling problem with sequence-dependent setup time is applied in a glass container manufacturing plant. The production scheduling program is developed to provide the optimal production schedule for 82 products with 9 identical individual section machines in a forming process with a minimum makespan objective. The machine setup time depends on the sequence of products produced. By using Visual Basic for Applications in Excel, a mathematical model is developed from input data and imported data from a database. The problem is solved by branch and cut algorithm using OpenSolver and Premium Solver. The answers from the program are translated and illustrated in terms of tables and Gantt charts that report the production sequence and total makespan. The results show that OpenSolver has the capability to solve the problem of 20 products and 4 machines, which is the maximum problem size of the case study company when using a present production plan within 3.65 hours. A new production plan or schedule for 82 products with 9 machines using Premium Solver is also proposed. The new production schedules give 4.79% lower makespan within 74.25 minutes.