{"title":"基于Witness的物流配送系统研究","authors":"Yanbing Ju, Aihua Wang, F. Zhu, Chuanliang Xia","doi":"10.1109/ISSCAA.2006.1627450","DOIUrl":null,"url":null,"abstract":"Based on the characteristics of the logistics distribution system, this paper proposes a multi-agent framework for the logistics distribution system. One simulation model for the logistics distribution system is set up based on the functions of different agents. The model which integrates several sub-models is set up using Witness 2003 issued by Lanner Corporation. Running the simulation model, we can observe dynamically the process of the system, find the bottlenecks which affect the system. We can analyze the probability distribution about the delay time of certain entity, calculate the average waiting time and the average waiting number in queue for entity, and judge the state of some agents. The results of the simulation model provide the basis for the managers to make right decisions under uncertainty","PeriodicalId":275436,"journal":{"name":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on the logistics distribution system based on Witness\",\"authors\":\"Yanbing Ju, Aihua Wang, F. Zhu, Chuanliang Xia\",\"doi\":\"10.1109/ISSCAA.2006.1627450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the characteristics of the logistics distribution system, this paper proposes a multi-agent framework for the logistics distribution system. One simulation model for the logistics distribution system is set up based on the functions of different agents. The model which integrates several sub-models is set up using Witness 2003 issued by Lanner Corporation. Running the simulation model, we can observe dynamically the process of the system, find the bottlenecks which affect the system. We can analyze the probability distribution about the delay time of certain entity, calculate the average waiting time and the average waiting number in queue for entity, and judge the state of some agents. The results of the simulation model provide the basis for the managers to make right decisions under uncertainty\",\"PeriodicalId\":275436,\"journal\":{\"name\":\"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCAA.2006.1627450\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 1st International Symposium on Systems and Control in Aerospace and Astronautics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCAA.2006.1627450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the logistics distribution system based on Witness
Based on the characteristics of the logistics distribution system, this paper proposes a multi-agent framework for the logistics distribution system. One simulation model for the logistics distribution system is set up based on the functions of different agents. The model which integrates several sub-models is set up using Witness 2003 issued by Lanner Corporation. Running the simulation model, we can observe dynamically the process of the system, find the bottlenecks which affect the system. We can analyze the probability distribution about the delay time of certain entity, calculate the average waiting time and the average waiting number in queue for entity, and judge the state of some agents. The results of the simulation model provide the basis for the managers to make right decisions under uncertainty