{"title":"基于GERT的航天运载火箭项目可靠性分析","authors":"S. Aytulun, M. Ermis","doi":"10.1109/RAST.2009.5158205","DOIUrl":null,"url":null,"abstract":"Evaluating the reliability of a network based project often involves an intensive simulation exercise to randomly generate and evaluate different possible network states. This paper proposes an algorithm to approximate the network reliability which minimizes the use of such simulation procedure. For this purpose, a space lunch vehicle project with network properties is analyzed using project scheduling techniques. Thus, the project processes are described as networks, modeled and timed by network properties and stochastically analysed using GERT, a project based process scheduling method. A set of computation experiments are conducted to employ the effectiveness and robustness of our GERT-based solution. The experimental study also indicates that our model can be effectively deployed in many practical scenarios.","PeriodicalId":412236,"journal":{"name":"2009 4th International Conference on Recent Advances in Space Technologies","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Space launch vehicle project reliability analysis by using GERT\",\"authors\":\"S. Aytulun, M. Ermis\",\"doi\":\"10.1109/RAST.2009.5158205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Evaluating the reliability of a network based project often involves an intensive simulation exercise to randomly generate and evaluate different possible network states. This paper proposes an algorithm to approximate the network reliability which minimizes the use of such simulation procedure. For this purpose, a space lunch vehicle project with network properties is analyzed using project scheduling techniques. Thus, the project processes are described as networks, modeled and timed by network properties and stochastically analysed using GERT, a project based process scheduling method. A set of computation experiments are conducted to employ the effectiveness and robustness of our GERT-based solution. The experimental study also indicates that our model can be effectively deployed in many practical scenarios.\",\"PeriodicalId\":412236,\"journal\":{\"name\":\"2009 4th International Conference on Recent Advances in Space Technologies\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 4th International Conference on Recent Advances in Space Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAST.2009.5158205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 4th International Conference on Recent Advances in Space Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAST.2009.5158205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Space launch vehicle project reliability analysis by using GERT
Evaluating the reliability of a network based project often involves an intensive simulation exercise to randomly generate and evaluate different possible network states. This paper proposes an algorithm to approximate the network reliability which minimizes the use of such simulation procedure. For this purpose, a space lunch vehicle project with network properties is analyzed using project scheduling techniques. Thus, the project processes are described as networks, modeled and timed by network properties and stochastically analysed using GERT, a project based process scheduling method. A set of computation experiments are conducted to employ the effectiveness and robustness of our GERT-based solution. The experimental study also indicates that our model can be effectively deployed in many practical scenarios.