{"title":"多任务调度与部分作业中断分配","authors":"Chen Xu, Yinfeng Xu, Feifeng Zheng","doi":"10.1109/IESM45758.2019.8948131","DOIUrl":null,"url":null,"abstract":"We consider the scheduling problem with part jobs interrupted assignment in the multitasking environment on single machine, which can be found in various application domains, such as Internet services. Motivated by the former operations, we extend the the original model considering that some job are uninterrupted job. We introduce some definitions that is typically used for scheduling in the multitasking environment. Our objective is to minimise weighted tardiness, earliness and common due date, we devise a mixed integer programme. We give some basic lemmas and properties to solve the problem, provide a solution algorithm for a case of the problem. Finally, we conclude the paper and suggest topics for future research.","PeriodicalId":286118,"journal":{"name":"2019 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multitasking Scheduling with Part Jobs Interrupted Assignment\",\"authors\":\"Chen Xu, Yinfeng Xu, Feifeng Zheng\",\"doi\":\"10.1109/IESM45758.2019.8948131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the scheduling problem with part jobs interrupted assignment in the multitasking environment on single machine, which can be found in various application domains, such as Internet services. Motivated by the former operations, we extend the the original model considering that some job are uninterrupted job. We introduce some definitions that is typically used for scheduling in the multitasking environment. Our objective is to minimise weighted tardiness, earliness and common due date, we devise a mixed integer programme. We give some basic lemmas and properties to solve the problem, provide a solution algorithm for a case of the problem. Finally, we conclude the paper and suggest topics for future research.\",\"PeriodicalId\":286118,\"journal\":{\"name\":\"2019 International Conference on Industrial Engineering and Systems Management (IESM)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Industrial Engineering and Systems Management (IESM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IESM45758.2019.8948131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Industrial Engineering and Systems Management (IESM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESM45758.2019.8948131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multitasking Scheduling with Part Jobs Interrupted Assignment
We consider the scheduling problem with part jobs interrupted assignment in the multitasking environment on single machine, which can be found in various application domains, such as Internet services. Motivated by the former operations, we extend the the original model considering that some job are uninterrupted job. We introduce some definitions that is typically used for scheduling in the multitasking environment. Our objective is to minimise weighted tardiness, earliness and common due date, we devise a mixed integer programme. We give some basic lemmas and properties to solve the problem, provide a solution algorithm for a case of the problem. Finally, we conclude the paper and suggest topics for future research.