TY - GEN
T1 - Development of automated schedule generator for nurses in emergency department
AU - Osman, Ahmed
AU - Al-Hinai, Nasr
AU - Piya, Sujan
N1 - Funding Information:
This research is funded by Sultan Qaboos University.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - Nurse scheduling problem (NSP) is considered as a special case of staff scheduling problem with high level of complexity due to number of constraints and its unique nature. Nurse provides vital service to the patients in hospitals and hospitals need to distribute schedule among nurses on 24 hours a day and 7 days a week basis preventing coverage drawbacks and maximizing fairness. This work presents a developed program that solves the NSP in emergency department. The schedule generated by the developed program is found to be satisfactory in terms of variability of nurse days-off and execution time.
AB - Nurse scheduling problem (NSP) is considered as a special case of staff scheduling problem with high level of complexity due to number of constraints and its unique nature. Nurse provides vital service to the patients in hospitals and hospitals need to distribute schedule among nurses on 24 hours a day and 7 days a week basis preventing coverage drawbacks and maximizing fairness. This work presents a developed program that solves the NSP in emergency department. The schedule generated by the developed program is found to be satisfactory in terms of variability of nurse days-off and execution time.
KW - Automated scheduling
KW - Emergency Department
KW - Nurse Rostering
KW - Nurse Scheduling
KW - Scheduling Fairness
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U2 - 10.1109/ICMSAO.2019.8880428
DO - 10.1109/ICMSAO.2019.8880428
M3 - Conference contribution
AN - SCOPUS:85075014358
T3 - 2019 8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO 2019
BT - 2019 8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO 2019
Y2 - 15 April 2019 through 17 April 2019
ER -