{"title":"改进静态模型的仿真结果","authors":"Martin J. Miller, Niloo Shahi, A. N. Dias","doi":"10.1109/WSC.2011.6147844","DOIUrl":null,"url":null,"abstract":"Effective simulation models require robust development methodologies. Planning, design, data, and testing are integral to ensure valuable answers to the model's customers. This paper discusses how supporting static models provide guidelines and directional correctness to simulation models. Static models can also provide supplemental answers which allow the reduction in simulation model complexity.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving simulation results with static models\",\"authors\":\"Martin J. Miller, Niloo Shahi, A. N. Dias\",\"doi\":\"10.1109/WSC.2011.6147844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Effective simulation models require robust development methodologies. Planning, design, data, and testing are integral to ensure valuable answers to the model's customers. This paper discusses how supporting static models provide guidelines and directional correctness to simulation models. Static models can also provide supplemental answers which allow the reduction in simulation model complexity.\",\"PeriodicalId\":246140,\"journal\":{\"name\":\"Proceedings of the 2011 Winter Simulation Conference (WSC)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2011 Winter Simulation Conference (WSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WSC.2011.6147844\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2011 Winter Simulation Conference (WSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSC.2011.6147844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effective simulation models require robust development methodologies. Planning, design, data, and testing are integral to ensure valuable answers to the model's customers. This paper discusses how supporting static models provide guidelines and directional correctness to simulation models. Static models can also provide supplemental answers which allow the reduction in simulation model complexity.