Publication Type
Working Paper
Version
publishedVersion
Publication Date
10-2012
Abstract
In this paper, a nurse-scheduling model is developed using mixed integer programming model. It is deployed to a general care ward to replace and automate the current manual approach for scheduling. The developed model differs from other similar studies in that it optimizes both hospitals requirement as well as nurse preferences by allowing flexibility in the transfer of nurses from different duties. The model also incorporated additional policies which are part of the hospitals requirement but not part of the legislations. Hospitals key primary mission is to ensure continuous ward care service with appropriate number of nursing staffs and the right mix of nursing skills. The planning and scheduling is done to avoid additional non essential cost for hospital. Nurses preferences are taken into considerations such as the number of night shift and consecutive rest days. We will also reformulate problems from another paper which considers the penalty objective using the model but without the flexible components. The models are built using AIMMS which solves the problem in very short amount of time.
Discipline
Computer Sciences | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
First Page
1
Last Page
16
Embargo Period
6-2-2021
Citation
CHOY, Murphy and CHEONG, Michelle L. F..
A flexible mixed integer programming framework for nurse scheduling. (2012). 1-16.
Available at: https://ink.library.smu.edu.sg/sis_research/5979
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://arxiv.org/abs/1210.3652
Included in
Computer Sciences Commons, Operations Research, Systems Engineering and Industrial Engineering Commons