A Greedy Constructive Approach for Nurse Rostering Problem

被引:0
作者
Jamom, Mouna [1 ]
Ayob, Masri [1 ]
Hadwan, Mohammed [1 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Data Min & Optimizat Grp DMO, Bangi 43600, Selangor, Malaysia
来源
2011 3RD CONFERENCE ON DATA MINING AND OPTIMIZATION (DMO) | 2011年
关键词
Nurse Rostering; initial solution; heuristic; shift patterns and cyclic approach; SCHEDULING PROBLEM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:227 / 231
页数:5
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