{"title":"备件的最优多项目填充率确定","authors":"M. Cardós, Ester Guijarro, E. Babiloni","doi":"10.1109/LISS.2015.7369652","DOIUrl":null,"url":null,"abstract":"We consider four existing methods in order to determine individual fill rates when a global target fill rate has been established. Given the drawbacks of these approaches, needing numerical optimization and especially unsuitable in the context of spare parts, we present a new approach which provide a closed form formula more focused on the characteristics of these items. This novel approach is validated with a dataset of spare parts of an airline company and outperforms the previous methods. Extensions of our results are also indicated.","PeriodicalId":124091,"journal":{"name":"2015 International Conference on Logistics, Informatics and Service Sciences (LISS)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal multi-item fill rate determination for spare parts\",\"authors\":\"M. Cardós, Ester Guijarro, E. Babiloni\",\"doi\":\"10.1109/LISS.2015.7369652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider four existing methods in order to determine individual fill rates when a global target fill rate has been established. Given the drawbacks of these approaches, needing numerical optimization and especially unsuitable in the context of spare parts, we present a new approach which provide a closed form formula more focused on the characteristics of these items. This novel approach is validated with a dataset of spare parts of an airline company and outperforms the previous methods. Extensions of our results are also indicated.\",\"PeriodicalId\":124091,\"journal\":{\"name\":\"2015 International Conference on Logistics, Informatics and Service Sciences (LISS)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Logistics, Informatics and Service Sciences (LISS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LISS.2015.7369652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Logistics, Informatics and Service Sciences (LISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISS.2015.7369652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal multi-item fill rate determination for spare parts
We consider four existing methods in order to determine individual fill rates when a global target fill rate has been established. Given the drawbacks of these approaches, needing numerical optimization and especially unsuitable in the context of spare parts, we present a new approach which provide a closed form formula more focused on the characteristics of these items. This novel approach is validated with a dataset of spare parts of an airline company and outperforms the previous methods. Extensions of our results are also indicated.