Title :
A greedy constructive approach for Nurse Rostering Problem
Author :
Jamom, Mouna ; Ayob, Masri ; Hadwan, Mohammed
Author_Institution :
Data Min. & Optimization Group (DMO), Nat. Univ. of Malaysia, Bangi, Malaysia
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.
Keywords :
greedy algorithms; health care; scheduling; search problems; UKMMC; Universiti Kebangsaan Malaysia Medical Centre; greedy constructive heuristic algorithm; nurse rostering problem; tabu search; Algorithm design and analysis; Artificial intelligence; Data mining; Maintenance engineering; Optimization; Processor scheduling; Schedules; Nurse Rostering; heuristic; initial solution; shift patterns and cyclic approach;
Conference_Titel :
Data Mining and Optimization (DMO), 2011 3rd Conference on
Conference_Location :
Putrajaya
Print_ISBN :
978-1-61284-211-0
Electronic_ISBN :
2155-6938
DOI :
10.1109/DMO.2011.5976532