{"title":"智能解决方案:用于实时企业资源管理的多代理技术","authors":"A. Tsarev","doi":"10.1109/ICIS.2013.6607827","DOIUrl":null,"url":null,"abstract":"The overview of the new generation of multi-agent systems for real time enterprise resource management is presented. The developed solutions are based on bio-inspired multi-agent technology which is applied for allocation, scheduling and optimization of resources in real time. Developed methods and tools allow to improve the efficiency of resource utilization and quality of client service, reduce costs and risks, minimize human errors in decision making.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Smart solutions: Multi-agent technology for real-time enterprise resource management\",\"authors\":\"A. Tsarev\",\"doi\":\"10.1109/ICIS.2013.6607827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The overview of the new generation of multi-agent systems for real time enterprise resource management is presented. The developed solutions are based on bio-inspired multi-agent technology which is applied for allocation, scheduling and optimization of resources in real time. Developed methods and tools allow to improve the efficiency of resource utilization and quality of client service, reduce costs and risks, minimize human errors in decision making.\",\"PeriodicalId\":345020,\"journal\":{\"name\":\"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2013.6607827\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2013.6607827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smart solutions: Multi-agent technology for real-time enterprise resource management
The overview of the new generation of multi-agent systems for real time enterprise resource management is presented. The developed solutions are based on bio-inspired multi-agent technology which is applied for allocation, scheduling and optimization of resources in real time. Developed methods and tools allow to improve the efficiency of resource utilization and quality of client service, reduce costs and risks, minimize human errors in decision making.