Made Agus Putra Subali, R. Sarno, Yutika Amelia Effendi
{"title":"时间和成本的模糊目标规划优化","authors":"Made Agus Putra Subali, R. Sarno, Yutika Amelia Effendi","doi":"10.1109/ICOIACT.2018.8350723","DOIUrl":null,"url":null,"abstract":"In an industry that is often faced with the problem of optimizing compound goals to be achieved such as maximizing sales, maximizing total production, and production costs. Multi objective linear programming method can be applied effectively in production planning because it has a great chance to solve every different aspect of production planning. In this research, we will apply fuzzy goal programming method to optimize time and cost in Port Container Handling. The experimental results have been conducted using three variants with different cases provide match results the desired by the decision maker. From the three variants, the second variant provides the most optimal results compared to other variants.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"32 1","pages":"471-476"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Time and cost optimization using fuzzy goal programming\",\"authors\":\"Made Agus Putra Subali, R. Sarno, Yutika Amelia Effendi\",\"doi\":\"10.1109/ICOIACT.2018.8350723\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In an industry that is often faced with the problem of optimizing compound goals to be achieved such as maximizing sales, maximizing total production, and production costs. Multi objective linear programming method can be applied effectively in production planning because it has a great chance to solve every different aspect of production planning. In this research, we will apply fuzzy goal programming method to optimize time and cost in Port Container Handling. The experimental results have been conducted using three variants with different cases provide match results the desired by the decision maker. From the three variants, the second variant provides the most optimal results compared to other variants.\",\"PeriodicalId\":6660,\"journal\":{\"name\":\"2018 International Conference on Information and Communications Technology (ICOIACT)\",\"volume\":\"32 1\",\"pages\":\"471-476\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Information and Communications Technology (ICOIACT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOIACT.2018.8350723\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Information and Communications Technology (ICOIACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIACT.2018.8350723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time and cost optimization using fuzzy goal programming
In an industry that is often faced with the problem of optimizing compound goals to be achieved such as maximizing sales, maximizing total production, and production costs. Multi objective linear programming method can be applied effectively in production planning because it has a great chance to solve every different aspect of production planning. In this research, we will apply fuzzy goal programming method to optimize time and cost in Port Container Handling. The experimental results have been conducted using three variants with different cases provide match results the desired by the decision maker. From the three variants, the second variant provides the most optimal results compared to other variants.