{"title":"整数规划在飞机发动机零件生产中的应用","authors":"Daniel Solow, Qi Wu, Daniel Magri","doi":"10.1504/IJAMS.2021.10035825","DOIUrl":null,"url":null,"abstract":"Integer programming models are developed for optimising the production of a part used in aircraft engines. A real-world problem is solved to optimality; however, for some potentially large real-world problems, one of these models can require too much time, so appropriate heuristics are developed. These heuristics are shown computationally to be both effective and efficient using randomly generated data.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An application of integer programming to producing aircraft engine parts\",\"authors\":\"Daniel Solow, Qi Wu, Daniel Magri\",\"doi\":\"10.1504/IJAMS.2021.10035825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Integer programming models are developed for optimising the production of a part used in aircraft engines. A real-world problem is solved to optimality; however, for some potentially large real-world problems, one of these models can require too much time, so appropriate heuristics are developed. These heuristics are shown computationally to be both effective and efficient using randomly generated data.\",\"PeriodicalId\":38716,\"journal\":{\"name\":\"International Journal of Applied Management Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2021-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Applied Management Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJAMS.2021.10035825\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJAMS.2021.10035825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MANAGEMENT","Score":null,"Total":0}
An application of integer programming to producing aircraft engine parts
Integer programming models are developed for optimising the production of a part used in aircraft engines. A real-world problem is solved to optimality; however, for some potentially large real-world problems, one of these models can require too much time, so appropriate heuristics are developed. These heuristics are shown computationally to be both effective and efficient using randomly generated data.