{"title":"基于灰色关联分析的供电站检修顺序影响因素分析","authors":"Jiyang Lu, Jun Ji, Xiangwei Xu","doi":"10.1109/AEEES54426.2022.9759700","DOIUrl":null,"url":null,"abstract":"This paper introduces the research status of work order processing means in power supply substation, and points out that the current research focuses on using work order system to solve actual production problems, ignoring the analysis of the influencing factors of work order quantity. Therefore, this paper puts forward the analysis framework of the correlation degree between the work order of the power supply station and external factors, establishes the influencing factor analysis model based on the grey correlation method, and carries out the analysis from the medium and long-term time scale. The conclusions can be used for reference in practical production.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis on Influencing Factors of Repair Order of Power Supply Station based on Grey Correlation Analysis\",\"authors\":\"Jiyang Lu, Jun Ji, Xiangwei Xu\",\"doi\":\"10.1109/AEEES54426.2022.9759700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces the research status of work order processing means in power supply substation, and points out that the current research focuses on using work order system to solve actual production problems, ignoring the analysis of the influencing factors of work order quantity. Therefore, this paper puts forward the analysis framework of the correlation degree between the work order of the power supply station and external factors, establishes the influencing factor analysis model based on the grey correlation method, and carries out the analysis from the medium and long-term time scale. The conclusions can be used for reference in practical production.\",\"PeriodicalId\":252797,\"journal\":{\"name\":\"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEEES54426.2022.9759700\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES54426.2022.9759700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis on Influencing Factors of Repair Order of Power Supply Station based on Grey Correlation Analysis
This paper introduces the research status of work order processing means in power supply substation, and points out that the current research focuses on using work order system to solve actual production problems, ignoring the analysis of the influencing factors of work order quantity. Therefore, this paper puts forward the analysis framework of the correlation degree between the work order of the power supply station and external factors, establishes the influencing factor analysis model based on the grey correlation method, and carries out the analysis from the medium and long-term time scale. The conclusions can be used for reference in practical production.