{"title":"开发用于生产可用性评估的动态内存模型","authors":"Walid Mossa","doi":"10.2523/iptc-22250-ea","DOIUrl":null,"url":null,"abstract":"\n \n \n To build live-RAM (Reliability, Availability, and Maintainability) model to enable evaluating System Production Availability (PA) associated with variety of shutdown scenarios, with an objective to ensure Production optimization, Reliability improvement, and to support system de-bottlenecking. This Model is complemented by web-based updating tools to reflect changes in Production Profile, Maintenance plans, Reliability and Maintainability data, and equipment modifications.\n","PeriodicalId":10974,"journal":{"name":"Day 2 Tue, February 22, 2022","volume":"78 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing Live RAM Model for Production Availability Evaluation\",\"authors\":\"Walid Mossa\",\"doi\":\"10.2523/iptc-22250-ea\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n \\n To build live-RAM (Reliability, Availability, and Maintainability) model to enable evaluating System Production Availability (PA) associated with variety of shutdown scenarios, with an objective to ensure Production optimization, Reliability improvement, and to support system de-bottlenecking. This Model is complemented by web-based updating tools to reflect changes in Production Profile, Maintenance plans, Reliability and Maintainability data, and equipment modifications.\\n\",\"PeriodicalId\":10974,\"journal\":{\"name\":\"Day 2 Tue, February 22, 2022\",\"volume\":\"78 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 2 Tue, February 22, 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2523/iptc-22250-ea\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Tue, February 22, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2523/iptc-22250-ea","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Developing Live RAM Model for Production Availability Evaluation
To build live-RAM (Reliability, Availability, and Maintainability) model to enable evaluating System Production Availability (PA) associated with variety of shutdown scenarios, with an objective to ensure Production optimization, Reliability improvement, and to support system de-bottlenecking. This Model is complemented by web-based updating tools to reflect changes in Production Profile, Maintenance plans, Reliability and Maintainability data, and equipment modifications.
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