He Shixuan, Liu Zhiwei, Yang Chen, He Xiaodong, Zhang Jia, Zhao Shuai
{"title":"基于最大失效概率法的电网公司备件补充采购需求管理研究","authors":"He Shixuan, Liu Zhiwei, Yang Chen, He Xiaodong, Zhang Jia, Zhao Shuai","doi":"10.1109/ICMSSE53595.2021.00062","DOIUrl":null,"url":null,"abstract":"Based on the theory of inventory demand forecasting and equipment reliability management, this paper proposes a quota model based on the maximum failure probability method, considering the historical failure rate and failure causes of spare parts based on Poisson distribution model, and takes the capacitor as an example to verify the rationality and feasibility of the model. Finally, a quota calculation model for spare parts of power grid company is established, scientifically predict the quantity of replenishment purchase, promote the spare parts of power grid company to reduce inventory, reduce cost, improve quality and efficiency.","PeriodicalId":331570,"journal":{"name":"2021 International Conference on Management Science and Software Engineering (ICMSSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on demand management of spare parts replenishment purchase for Power Grid Companies based on the maximum failure probability method\",\"authors\":\"He Shixuan, Liu Zhiwei, Yang Chen, He Xiaodong, Zhang Jia, Zhao Shuai\",\"doi\":\"10.1109/ICMSSE53595.2021.00062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the theory of inventory demand forecasting and equipment reliability management, this paper proposes a quota model based on the maximum failure probability method, considering the historical failure rate and failure causes of spare parts based on Poisson distribution model, and takes the capacitor as an example to verify the rationality and feasibility of the model. Finally, a quota calculation model for spare parts of power grid company is established, scientifically predict the quantity of replenishment purchase, promote the spare parts of power grid company to reduce inventory, reduce cost, improve quality and efficiency.\",\"PeriodicalId\":331570,\"journal\":{\"name\":\"2021 International Conference on Management Science and Software Engineering (ICMSSE)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Management Science and Software Engineering (ICMSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSSE53595.2021.00062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Management Science and Software Engineering (ICMSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSSE53595.2021.00062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on demand management of spare parts replenishment purchase for Power Grid Companies based on the maximum failure probability method
Based on the theory of inventory demand forecasting and equipment reliability management, this paper proposes a quota model based on the maximum failure probability method, considering the historical failure rate and failure causes of spare parts based on Poisson distribution model, and takes the capacitor as an example to verify the rationality and feasibility of the model. Finally, a quota calculation model for spare parts of power grid company is established, scientifically predict the quantity of replenishment purchase, promote the spare parts of power grid company to reduce inventory, reduce cost, improve quality and efficiency.