IIE Transactions on Healthcare Systems Engineering · 2011 · 30 citations · 29 references
ManagementOperations ManagementSurgeryOperating Room NursingOptimizationSchedulingHealthcare SchedulingInteger ProgrammingMulti-objective SchedulingSchedule OptimizationScheduling OptimizationScheduling TheoryCompetencyConstraintsGoal Programming For SchedulingIdle TimeoutMulti-objective Integer ProgrammingOptimization-based SchedulingSatisfactionScheduling Problems
This paper provides a new multi-objective integer programming model for the daily scheduling of nurses in operating suites. The model is designed to assign nurses to different surgery cases based on their specialties and competency levels, subject to a series of hard and soft constraints related to nurse satisfaction, idle time, overtime, and job changes during a shift. To find solutions, two methodologies were developed. The first is based on the idea of a solution pool and the second is a variant of modified goal programming. The model and the solution procedures were validated using real data provided by the University of Texas MD Anderson Cancer Center in Houston, Texas. The results show that the two methodologies can produce schedules that satisfy all demand with 50 % less overtime and 50 % less idle time when benchmarked against current practice. 1
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The State of the Art of Nurse Rostering
Edmund Burke, Patrick De Causmaecker, Greet Vanden Berghe et al. · Journal of Scheduling · 2004 · 933 citations · Full text
Nurse rostering problems––a bibliographic survey
Brenda Cheang, Heng Li, Andrew Lim et al. · European Journal of Operational Research · 2003 · 491 citations · Full text
Health Professions, Nursing Administration, Patient Safety +4