{"title":"产品组合问题的优化模型","authors":"A. Butrat, S. Supsomboon","doi":"10.1109/RI2C48728.2019.8999930","DOIUrl":null,"url":null,"abstract":"This research offers the optimization model, which is Pure integer linear programming (PILP), to solve the product mix problem based-on resources of time. The objective function is to maximize profit. The production volumes are the decision variable and have defined by using the resource of time and demand. Lingo 11 had been used to solve problems. The result from model validation, the mathematical model can provide the decision variable of the number of production volume as many as the result of calculating the bottleneck","PeriodicalId":404700,"journal":{"name":"2019 Research, Invention, and Innovation Congress (RI2C)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Optimization Model for Product Mix Problem\",\"authors\":\"A. Butrat, S. Supsomboon\",\"doi\":\"10.1109/RI2C48728.2019.8999930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research offers the optimization model, which is Pure integer linear programming (PILP), to solve the product mix problem based-on resources of time. The objective function is to maximize profit. The production volumes are the decision variable and have defined by using the resource of time and demand. Lingo 11 had been used to solve problems. The result from model validation, the mathematical model can provide the decision variable of the number of production volume as many as the result of calculating the bottleneck\",\"PeriodicalId\":404700,\"journal\":{\"name\":\"2019 Research, Invention, and Innovation Congress (RI2C)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Research, Invention, and Innovation Congress (RI2C)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RI2C48728.2019.8999930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Research, Invention, and Innovation Congress (RI2C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RI2C48728.2019.8999930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This research offers the optimization model, which is Pure integer linear programming (PILP), to solve the product mix problem based-on resources of time. The objective function is to maximize profit. The production volumes are the decision variable and have defined by using the resource of time and demand. Lingo 11 had been used to solve problems. The result from model validation, the mathematical model can provide the decision variable of the number of production volume as many as the result of calculating the bottleneck
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