{"title":"预拌混凝土运输路线与进度优化模型——以印尼RMC行业为例","authors":"R. Syahputra, K. Komarudin, A. R. Destyanto","doi":"10.1109/ICCIA.2018.00012","DOIUrl":null,"url":null,"abstract":"The focus of national development on the infrastructure sector impacts on the rapid growth of the construction market. High demand and complex business processes make ready-mix concrete producers especially in Jakarta no longer able to rely on route planning and manual scheduling mechanisms, which have been some delays in deliveries that impact on the decline in service level. This research proposes an optimization method based on mixed integer linear programming on route planning mechanism and scheduling of ready-mix concrete delivery developed in Java language with Gurobi optimization library support. The simulation is done using the companys historical data of the research object, which is one of the ready-mix concrete producers in Jakarta. From the four simulations, the best output resulted with a total cost of - 3674 and a gap of 0.49%, where all customer requests are met in the given time window. These results indicate that the optimization model developed in this study can yield the optimum solution for route planning mechanism and ready-mix concrete delivery scheduling.","PeriodicalId":297098,"journal":{"name":"2018 3rd International Conference on Computational Intelligence and Applications (ICCIA)","volume":"22 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimization Model of Ready-Mix Concrete Delivery Route and Schedule: A Case in Indonesia RMC Industry\",\"authors\":\"R. Syahputra, K. Komarudin, A. R. Destyanto\",\"doi\":\"10.1109/ICCIA.2018.00012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The focus of national development on the infrastructure sector impacts on the rapid growth of the construction market. High demand and complex business processes make ready-mix concrete producers especially in Jakarta no longer able to rely on route planning and manual scheduling mechanisms, which have been some delays in deliveries that impact on the decline in service level. This research proposes an optimization method based on mixed integer linear programming on route planning mechanism and scheduling of ready-mix concrete delivery developed in Java language with Gurobi optimization library support. The simulation is done using the companys historical data of the research object, which is one of the ready-mix concrete producers in Jakarta. From the four simulations, the best output resulted with a total cost of - 3674 and a gap of 0.49%, where all customer requests are met in the given time window. These results indicate that the optimization model developed in this study can yield the optimum solution for route planning mechanism and ready-mix concrete delivery scheduling.\",\"PeriodicalId\":297098,\"journal\":{\"name\":\"2018 3rd International Conference on Computational Intelligence and Applications (ICCIA)\",\"volume\":\"22 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 3rd International Conference on Computational Intelligence and Applications (ICCIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIA.2018.00012\",\"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 3rd International Conference on Computational Intelligence and Applications (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIA.2018.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization Model of Ready-Mix Concrete Delivery Route and Schedule: A Case in Indonesia RMC Industry
The focus of national development on the infrastructure sector impacts on the rapid growth of the construction market. High demand and complex business processes make ready-mix concrete producers especially in Jakarta no longer able to rely on route planning and manual scheduling mechanisms, which have been some delays in deliveries that impact on the decline in service level. This research proposes an optimization method based on mixed integer linear programming on route planning mechanism and scheduling of ready-mix concrete delivery developed in Java language with Gurobi optimization library support. The simulation is done using the companys historical data of the research object, which is one of the ready-mix concrete producers in Jakarta. From the four simulations, the best output resulted with a total cost of - 3674 and a gap of 0.49%, where all customer requests are met in the given time window. These results indicate that the optimization model developed in this study can yield the optimum solution for route planning mechanism and ready-mix concrete delivery scheduling.