Constructing Pareto-Optimal Residency Call Schedules
نویسنده
چکیده
In this research, we build on our prior experience in constructing year-long call schedules for medical residents. A key challenge of this problem is its multi-criteria nature — the quality of a schedule is not measured in terms of cost, but rather depends on a number of (often competing) metrics. One way to solve multi-criteria optimization problems is by assigning weights to each metric so as to trade off between these weights in the objective function. This has the new challenge, however, of requiring the schedulers (here, the Chief Residents) to identify weights that accurately represent their preferences. In this paper, we instead present an efficient way to generate the complete set of Pareto-optimal solutions. The user can then select their prefered schedule from this set, rather than trying to implicitly represent their preferences by weights. Computational results from a real-world residency scheduling problem demonstrate the tractability of this approach.
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تاریخ انتشار 2007