{"title":"护士名册问题的贪婪建设性方法","authors":"Mouna Jamom, M. Ayob, Mohammed Hadwan","doi":"10.1109/DMO.2011.5976532","DOIUrl":null,"url":null,"abstract":"Nurse Rostering Problem (NRP) concerns about producing a high quality workable duty roster for the available staff nurses. The aim of this work is to present a greedy constructive heuristic algorithm to generate a feasible initial solution by satisfying the hard constraints. Basically the initial solution includes three steps: first we start by designing a group of shift patterns based on hard and soft constraints. Then, those patterns are rotated for predefined positions and allocated to each nurse. Finally; if the solution is not feasible we use a repair mechanism. In this work, a real world problem from Universiti Kebangsaan Malaysia Medical Centre (UKMMC) is used to test the proposed algorithm. The resulting roster demonstrates that our proposed algorithm generates a good quality duty roster in a reasonable computational time for our case study.","PeriodicalId":436393,"journal":{"name":"2011 3rd Conference on Data Mining and Optimization (DMO)","volume":"326 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A greedy constructive approach for Nurse Rostering Problem\",\"authors\":\"Mouna Jamom, M. Ayob, Mohammed Hadwan\",\"doi\":\"10.1109/DMO.2011.5976532\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nurse Rostering Problem (NRP) concerns about producing a high quality workable duty roster for the available staff nurses. The aim of this work is to present a greedy constructive heuristic algorithm to generate a feasible initial solution by satisfying the hard constraints. Basically the initial solution includes three steps: first we start by designing a group of shift patterns based on hard and soft constraints. Then, those patterns are rotated for predefined positions and allocated to each nurse. Finally; if the solution is not feasible we use a repair mechanism. In this work, a real world problem from Universiti Kebangsaan Malaysia Medical Centre (UKMMC) is used to test the proposed algorithm. The resulting roster demonstrates that our proposed algorithm generates a good quality duty roster in a reasonable computational time for our case study.\",\"PeriodicalId\":436393,\"journal\":{\"name\":\"2011 3rd Conference on Data Mining and Optimization (DMO)\",\"volume\":\"326 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd Conference on Data Mining and Optimization (DMO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMO.2011.5976532\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd Conference on Data Mining and Optimization (DMO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMO.2011.5976532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A greedy constructive approach for Nurse Rostering Problem
Nurse Rostering Problem (NRP) concerns about producing a high quality workable duty roster for the available staff nurses. The aim of this work is to present a greedy constructive heuristic algorithm to generate a feasible initial solution by satisfying the hard constraints. Basically the initial solution includes three steps: first we start by designing a group of shift patterns based on hard and soft constraints. Then, those patterns are rotated for predefined positions and allocated to each nurse. Finally; if the solution is not feasible we use a repair mechanism. In this work, a real world problem from Universiti Kebangsaan Malaysia Medical Centre (UKMMC) is used to test the proposed algorithm. The resulting roster demonstrates that our proposed algorithm generates a good quality duty roster in a reasonable computational time for our case study.