The Doctor Rostering Problem - Asser Fahrenholz
The Doctor Rostering Problem - Asser Fahrenholz
The Doctor Rostering Problem - Asser Fahrenholz
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Chapter 2. <strong>The</strong> <strong>Doctor</strong> <strong>Rostering</strong> <strong>Problem</strong> 7<br />
original algorithms. Burke et al. [3] applies the model to several hospitals in Belgium,<br />
taking a dynamic, user-defined, set of constraints into account. Burke et al. [5] ends<br />
their review by concluding that very few of the solutions are applicable to real world<br />
problems and highlights a range of areas they believe would benefit from more research.<br />
<strong>The</strong>se includes Robustness (if a person calls in sick, most solutions suffer a chain-reaction<br />
of disruptions) and Ease of Use (no hospital administrator is able to set the parameters<br />
for any algorithm designed to solve a problem), noting how more research is needed on<br />
parameter-less algorithms.<br />
<strong>The</strong> varying nature of the problems solved in the literature, including the size of the<br />
staff, the complexity and amount of constraints, the type of shifts, demands, preferences<br />
and qualifications to name a few, indicates that NSP can not be classified as only one<br />
problem. For this to be the case, a uniform model of the problem is needed.