{"title":"基于决策流的LORA综合决策方法","authors":"Q. Dong, Liang Zhao, Jianzhong Zhao, Xiaoxiao Liu","doi":"10.1109/ICAIIS49377.2020.9194873","DOIUrl":null,"url":null,"abstract":"Combined with multiple maintenance modes and current research on LORA (Level of Repair Analysis), synthesis decision approach of LORA is presented based on decision flow, which can be solved by TOPSIS method and genetic algorithm, as the foundation of following research. The result shows that the method is effective for the LORA problem, and offers lessons for solution of other multiple maintenance optimization problems.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synthesis Decision Approach of LORA Based on Decision Flow\",\"authors\":\"Q. Dong, Liang Zhao, Jianzhong Zhao, Xiaoxiao Liu\",\"doi\":\"10.1109/ICAIIS49377.2020.9194873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Combined with multiple maintenance modes and current research on LORA (Level of Repair Analysis), synthesis decision approach of LORA is presented based on decision flow, which can be solved by TOPSIS method and genetic algorithm, as the foundation of following research. The result shows that the method is effective for the LORA problem, and offers lessons for solution of other multiple maintenance optimization problems.\",\"PeriodicalId\":416002,\"journal\":{\"name\":\"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIIS49377.2020.9194873\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIIS49377.2020.9194873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthesis Decision Approach of LORA Based on Decision Flow
Combined with multiple maintenance modes and current research on LORA (Level of Repair Analysis), synthesis decision approach of LORA is presented based on decision flow, which can be solved by TOPSIS method and genetic algorithm, as the foundation of following research. The result shows that the method is effective for the LORA problem, and offers lessons for solution of other multiple maintenance optimization problems.
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