{"title":"基于RFID的作业车间实时调度模型","authors":"Penfei Wen, Wei Cao","doi":"10.1109/CIAPP.2017.8167208","DOIUrl":null,"url":null,"abstract":"In order to meet the real-time and visualization requirements in discrete manufacturing process, obtain accurate information of personnel, machine and other related resources in the production process in time, and make a quick response, this paper proposes a job-shop real-time scheduling model based on RFID. By reasonably arranging RFID tags and RFID readers in job-shop, the production information of the job-shop can be obtained in a timely and accurate manner. Then, the machining capabilities of the machines in the jobshop are calculated through a machine evaluation model, the results of which is considered as the input of the next job-shop scheduling model. An improved ant colony algorithm (ACA) is employed to solve it. Finally, a case is simulated and studied showing the applicability of the proposed models and methods.","PeriodicalId":187056,"journal":{"name":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","volume":"123 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-time job-shop scheduling model based on RFID\",\"authors\":\"Penfei Wen, Wei Cao\",\"doi\":\"10.1109/CIAPP.2017.8167208\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to meet the real-time and visualization requirements in discrete manufacturing process, obtain accurate information of personnel, machine and other related resources in the production process in time, and make a quick response, this paper proposes a job-shop real-time scheduling model based on RFID. By reasonably arranging RFID tags and RFID readers in job-shop, the production information of the job-shop can be obtained in a timely and accurate manner. Then, the machining capabilities of the machines in the jobshop are calculated through a machine evaluation model, the results of which is considered as the input of the next job-shop scheduling model. An improved ant colony algorithm (ACA) is employed to solve it. Finally, a case is simulated and studied showing the applicability of the proposed models and methods.\",\"PeriodicalId\":187056,\"journal\":{\"name\":\"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)\",\"volume\":\"123 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIAPP.2017.8167208\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIAPP.2017.8167208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In order to meet the real-time and visualization requirements in discrete manufacturing process, obtain accurate information of personnel, machine and other related resources in the production process in time, and make a quick response, this paper proposes a job-shop real-time scheduling model based on RFID. By reasonably arranging RFID tags and RFID readers in job-shop, the production information of the job-shop can be obtained in a timely and accurate manner. Then, the machining capabilities of the machines in the jobshop are calculated through a machine evaluation model, the results of which is considered as the input of the next job-shop scheduling model. An improved ant colony algorithm (ACA) is employed to solve it. Finally, a case is simulated and studied showing the applicability of the proposed models and methods.