{"title":"GA-BCC算法在工艺成本消耗标准制定中的研究","authors":"Xiaoke Guo, Niansong Zhang, Aiming Wang","doi":"10.1109/ICMA57826.2023.10216137","DOIUrl":null,"url":null,"abstract":"In order to establish reasonable and applicable standards for process consumption, this paper proposes a GABCC method for solving the common weight vector and comprehensive efficiency vector. Based on the use of GA-BCC to obtain comprehensive efficiency vector, the method uses efficiency threshold to remove inefficient data and forms standard data. Finally, taking the average value is used to calculate the process consumption standard. The results of the experiment show that the comprehensive efficiency is basically the same as the original efficiency, thus proving the feasibility of the method. Meanwhile, the utilization of a common weighting method prevented the establishment of biased weight preferences, thus utilizing the shared weights method to calculate efficiency is more impartial.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on GA-BCC Algorithm for Process Cost Consumption Standards Establishing\",\"authors\":\"Xiaoke Guo, Niansong Zhang, Aiming Wang\",\"doi\":\"10.1109/ICMA57826.2023.10216137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to establish reasonable and applicable standards for process consumption, this paper proposes a GABCC method for solving the common weight vector and comprehensive efficiency vector. Based on the use of GA-BCC to obtain comprehensive efficiency vector, the method uses efficiency threshold to remove inefficient data and forms standard data. Finally, taking the average value is used to calculate the process consumption standard. The results of the experiment show that the comprehensive efficiency is basically the same as the original efficiency, thus proving the feasibility of the method. Meanwhile, the utilization of a common weighting method prevented the establishment of biased weight preferences, thus utilizing the shared weights method to calculate efficiency is more impartial.\",\"PeriodicalId\":151364,\"journal\":{\"name\":\"2023 IEEE International Conference on Mechatronics and Automation (ICMA)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Mechatronics and Automation (ICMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMA57826.2023.10216137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA57826.2023.10216137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on GA-BCC Algorithm for Process Cost Consumption Standards Establishing
In order to establish reasonable and applicable standards for process consumption, this paper proposes a GABCC method for solving the common weight vector and comprehensive efficiency vector. Based on the use of GA-BCC to obtain comprehensive efficiency vector, the method uses efficiency threshold to remove inefficient data and forms standard data. Finally, taking the average value is used to calculate the process consumption standard. The results of the experiment show that the comprehensive efficiency is basically the same as the original efficiency, thus proving the feasibility of the method. Meanwhile, the utilization of a common weighting method prevented the establishment of biased weight preferences, thus utilizing the shared weights method to calculate efficiency is more impartial.