A scheduling model for hospital residents
Journal of Medical Systems
A Tabu-Search Hyperheuristic for Timetabling and Rostering
Journal of Heuristics
An indirect genetic algorithm for a nurse-scheduling problem
Computers and Operations Research
The State of the Art of Nurse Rostering
Journal of Scheduling
A 0-1 goal programming model for nurse scheduling
Computers and Operations Research
Multicriteria Optimization
Cyclic preference scheduling of nurses using a Lagrangian-based heuristic
Journal of Scheduling
Physician scheduling in emergency rooms
PATAT'06 Proceedings of the 6th international conference on Practice and theory of automated timetabling VI
HM'06 Proceedings of the Third international conference on Hybrid Metaheuristics
A nurse rostering system using constraint programming and redundant modeling
IEEE Transactions on Information Technology in Biomedicine
Hybrid optimization techniques for the workshift and rest assignment of nursing personnel
Artificial Intelligence in Medicine
A goal programming model for scheduling residents in an anesthesia and reanimation department
Expert Systems with Applications: An International Journal
A hierarchical goal programming model for scheduling the outpatient clinics
Expert Systems with Applications: An International Journal
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The chief residents in the psychiatry program at Boston University School of Medicine (BUSM) must construct a schedule that simultaneously assigns residents to five types of call shifts, spanning three different hospitals, over a 365-day planning horizon. We show how user expertise and heuristic approaches alone fail to find acceptable solutions to this complex combinatorial problem; likewise, mathematical programming techniques alone are inadequate, largely because they lack a clearly definable objective function. However, by combining both approaches, we were able to find high-quality solutions in a very short time. The resulting schedule, which BUSM uses currently, has yielded substantial benefits; the solution quality has improved, and the effort required to develop the solution has been reduced.